WO2023221118A1 - 信息处理方法及装置、电子设备及存储介质 - Google Patents

信息处理方法及装置、电子设备及存储介质 Download PDF

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Publication number
WO2023221118A1
WO2023221118A1 PCT/CN2022/094214 CN2022094214W WO2023221118A1 WO 2023221118 A1 WO2023221118 A1 WO 2023221118A1 CN 2022094214 W CN2022094214 W CN 2022094214W WO 2023221118 A1 WO2023221118 A1 WO 2023221118A1
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WIPO (PCT)
Prior art keywords
information
preset
road area
vehicle
preset road
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PCT/CN2022/094214
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English (en)
French (fr)
Inventor
张念
Original Assignee
北京小米移动软件有限公司
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Filing date
Publication date
Application filed by 北京小米移动软件有限公司 filed Critical 北京小米移动软件有限公司
Priority to PCT/CN2022/094214 priority Critical patent/WO2023221118A1/zh
Priority to CN202280004449.8A priority patent/CN117441350A/zh
Publication of WO2023221118A1 publication Critical patent/WO2023221118A1/zh

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    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/16—Anti-collision systems
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor

Definitions

  • the present disclosure relates to the technical field of Internet of Vehicles but is not limited to the technical field of Internet of Vehicles, and in particular, to an information processing method and device, electronic equipment and storage media.
  • traffic lights are generally installed at road intersections. Pedestrians and vehicles must follow the traffic lights and traffic rules to cross the intersection. For example, when the traffic light at an intersection shows a green light, pedestrians facing the green light can go straight through the crosswalk (i.e., zebra crossing), and vehicles facing the green light can turn left.
  • crosswalk i.e., zebra crossing
  • the driver On zebra crossings without traffic lights, the driver mainly relies on the observation of the vehicle to determine whether there are pedestrians on the zebra crossing. If there are pedestrians on the zebra crossing, the pedestrians need to be avoided.
  • Embodiments of the present disclosure provide an information processing method and device, electronic equipment, and storage media.
  • the first aspect of the embodiment of the present disclosure provides an information processing method applied to roadside equipment.
  • the method includes:
  • a safety protection operation is performed for the target object located in the preset road area.
  • a second aspect of the embodiment of the present disclosure provides an information processing method, applied to a server, and the method includes:
  • the preset information is sent to the target vehicle that meets the preset conditions in the preset road area; wherein the preset information is used for driving control of the target vehicle.
  • the third aspect of the embodiment of the present disclosure provides an information processing method applied to a vehicle-mounted terminal of a vehicle.
  • the method includes:
  • preset information wherein the preset information is used for driving control of the vehicle; the vehicle and the preset road area meet preset conditions;
  • a safety protection operation is performed for the target object located in the preset road area.
  • a fourth aspect of the embodiment of the present disclosure provides an information processing device applied to roadside equipment.
  • the device includes:
  • the first collection module is used to collect detection information of the preset road area
  • a first processing module configured to perform safety protection operations for target objects located in the preset road area based on the detection information.
  • a fifth aspect of the embodiment of the present disclosure provides an information processing device applied to a server.
  • the device includes:
  • the first receiving module is used to receive the preset information sent by the roadside equipment according to the detection information in the preset road area;
  • a sending module configured to send the preset information to a target vehicle that meets a preset condition in the preset road area; wherein the preset information is used for driving control of the target vehicle.
  • a sixth aspect of the embodiment of the present disclosure provides an information processing device applied to a vehicle-mounted terminal of a vehicle.
  • the device includes:
  • An acquisition module is used to obtain preset information; wherein the preset information is used for driving control of the vehicle; the vehicle and the preset road area satisfy preset conditions;
  • the second processing module is configured to perform safety protection operations for target objects located in the preset road area according to the preset information.
  • a seventh aspect of the embodiment of the present disclosure provides an electronic device, including:
  • Memory used to store instructions executable by the processor
  • the processor is configured to: when executing the executable instructions, implement the steps in the information processing method provided in any one of the foregoing first aspect and third aspect.
  • An eighth aspect of the embodiment of the present disclosure provides a server, including:
  • Memory used to store instructions executable by the processor
  • the processor is configured to: when executing the executable instructions, implement the steps in the information processing method provided in the second aspect.
  • a ninth aspect of the embodiment of the present disclosure provides a computer storage medium, the computer storage medium stores an executable program; after the executable program is executed by a processor, any one of the first to third aspects can be implemented Provide steps in the information processing method.
  • Embodiments of the present disclosure provide an information processing method that performs safety protection operations on target objects located in the preset road area based on detection information of the preset road area, so that there are target objects in the preset road area. Under this situation, the detection information of the preset road area is used to perform safety protection operations on the target object, which can reduce the probability of a traffic accident when the target object passes through the preset road area and reduce the safety hazards in the preset road area.
  • Figure 1 is an environmental schematic diagram of an information processing method according to an exemplary embodiment
  • Figure 2 is a schematic flowchart of an information processing method according to an exemplary embodiment
  • Figure 3 is a schematic flowchart of an information processing method according to an exemplary embodiment
  • Figure 4 is a schematic flowchart of an information processing method according to an exemplary embodiment
  • Figure 5 is a schematic flowchart of an information processing method according to an exemplary embodiment
  • Figure 6 is a schematic flowchart of an information processing method according to an exemplary embodiment
  • Figure 7 is a schematic structural diagram of an information processing device according to an exemplary embodiment
  • Figure 8 is a schematic structural diagram of an information processing device according to an exemplary embodiment
  • Figure 9 is a schematic structural diagram of an information processing device according to an exemplary embodiment
  • Figure 10 is a schematic structural diagram of an information processing device according to an exemplary embodiment
  • Figure 11 is a schematic structural diagram of an information processing device according to an exemplary embodiment
  • Figure 12 is a schematic structural diagram of an electronic device according to an exemplary embodiment
  • Figure 13 is a schematic structural diagram of a server according to an exemplary embodiment.
  • first, second, third, etc. may be used to describe various information in the embodiments of the present disclosure, the information should not be limited to these terms. These terms are only used to distinguish information of the same type from each other.
  • first information may also be called second information, and similarly, the second information may also be called first information.
  • word “if” as used herein may be interpreted as "when” or "when” or "in response to determining.”
  • FIG. 1 is a schematic diagram of an environment of an information processing method according to an exemplary embodiment.
  • the implementation environment of the information processing method may be an Internet of Vehicles system.
  • the Internet of Vehicles means that the on-board equipment on the vehicle uses wireless communication technology to effectively utilize all vehicle dynamic information in the information network platform to provide different functional services during vehicle operation.
  • the Internet of Vehicles system includes roadside equipment 11 , a server 12 and a vehicle 13 .
  • the roadside device 11 may be provided with sensors for sensing environmental information of the preset road area.
  • the roadside device can detect the environmental information of the preset road area sensed by its own sensors, and send the preset information determined based on the detection information of the preset road area to the vehicle-mounted terminal of the vehicle 13 through the server 12.
  • the vehicle-mounted terminal of the vehicle 13 performs safety protection operations for target objects located in the preset road area according to the preset information of the preset road area.
  • the vehicle 13 can also sense the environmental information of the preset road area through its own sensors, detect the environmental information of the preset road area sensed by its own sensors, and detect the environmental information of the preset road area according to the preset road area.
  • the detection information is used to perform safety protection operations for target objects located in the preset road area.
  • the number of servers 12 and vehicles 13 shown in Figure 1 is only illustrative. According to actual needs, the Internet of Vehicles system can have any number of servers 12 and vehicles 13.
  • the server 12 can be A cloud server cluster composed of multiple servers.
  • FIG 2 is a schematic flow chart of an information processing method according to an exemplary embodiment.
  • the information processing method can be applied to roadside equipment in the environmental diagram shown in Figure 1. As shown in Figure 2, the method The following steps can be included:
  • Roadside equipment collects detection information of preset road areas
  • S14 According to the detection information, perform safety protection operations for the target objects located in the preset road area.
  • the information processing method may be executed by a roadside device, which is a device located around or within a preset road area.
  • the roadside device may include but is not limited to Includes camera, processor unit and lidar.
  • the roadside equipment may be fixedly arranged at a position close to the preset road area according to a preset spacing.
  • the preset road area may include, but is not limited to: any area that pedestrians and/or animals and other living entities can pass through together with vehicles, such as intersection areas and zebra crossing areas.
  • Zebra crossing areas may include: pedestrian waiting areas and areas located in the pedestrian waiting areas. zebra crossing.
  • the detection information of the preset road area may be any information collected on the preset road area, including but not limited to: image information, audio information and/or radar measurement information.
  • the detection information can reflect road status information within the preset road area.
  • the road condition information includes: road surface condition information and/or passing status information of pedestrians and/or vehicles within the preset road area.
  • the road surface condition information can be used to reflect whether the road surface of the preset road area is smooth, whether there are obstacles on the road surface, the type of the preset road area, and whether the flood control manhole cover on the road surface is tightly fastened.
  • the passing status information of pedestrians and/or vehicles can reflect whether there are pedestrians and/or vehicles in the preset road area, whether there is congestion, the movement state of the target object, etc.
  • the type of the preset road area can be determined according to road planning, for example, zebra crossing, one-way line, roundabout or fork in the road, etc.
  • the detection information can be used to at least determine whether a target object exists within the preset road area.
  • the target objects may include: targets that require security protection.
  • the target objects include but are not limited to: living entities such as pedestrians and/or animals.
  • the roadside equipment is provided with a sensor for sensing environmental information of the preset road area.
  • the roadside device may detect the environmental information of the preset road area sensed by the sensor to obtain the detection information of the preset road area.
  • the sensor may be fixed above the preset road area or at other locations, such as installed on a traffic light pole within the range of the preset road area.
  • the sensors may include visual cameras, infrared cameras, millimeter wave radar and/or LiDAR.
  • the vision camera can capture images within the range of the preset road area in real time.
  • Infrared cameras can capture objects under night vision conditions.
  • Millimeter wave radar can be used to utilize the characteristics of electromagnetic waves for target location and tracking.
  • LiDAR can perform object recognition and tracking by detecting object edge and shape information.
  • the environmental information of the preset road area can be collected through one or more sensors of the roadside equipment, and the preset road area can be detected to obtain the detection information of the preset road area.
  • step S14 it may be determined according to the detection information whether a target object exists in the preset road area. When it is determined that the target object exists, a safety protection operation is performed for the target object located in the preset road area.
  • the target objects may include living objects such as pedestrians or animals.
  • Embodiments of the present disclosure provide an information processing method that uses roadside equipment to perform safety protection operations for target objects located in the preset road area based on detection information of the preset road area, so that there are targets in the preset road area.
  • using the detection information of the preset road area to perform safety protection operations on the target object can reduce the probability of traffic accidents when the target object passes through the preset road area and reduce safety hazards in the preset road area.
  • performing safety protection operations on target objects located in the preset road area based on the detection information in the above step S14 may include:
  • the detection information includes at least one of the following:
  • Video information of the preset road area
  • Radar sensing information of the preset road area.
  • the target object it can be determined whether the target object exists in the preset intersection area through the video information, infrared sensing information and/or radar sensing information of the preset road area, and the target object is stored in the preset road area.
  • a safety protection operation is performed on the target object located in the preset road area.
  • the video information of the preset road area is captured by the visual camera of the roadside equipment, and the video information of the preset road area is detected by the built-in target detection algorithm of the roadside equipment, and the preset road area can be determined. Assume whether the target object exists in the road area. For example, based on the face recognition algorithm or the human body recognition algorithm, it is detected whether a face or a human body appears in one or more video frames of the video data. If a face and/or a human body is recognized, it can at least be determined that the target object exists.
  • the position of the target object within the preset road area can be determined based on the position and/or collection parameters (such as focal length) of the image acquisition device of the video information, and the movement of the target object within the preset road area can be further determined. Speed, motion trajectory and other information.
  • the infrared sensing information of the preset road area is sensed by the near infrared camera of the roadside device or the sensor of the far infrared camera. According to the infrared sensing information of the preset road area, the preset road can be determined Whether the target object exists in the area.
  • the infrared camera can be a passive infrared camera or an active infrared camera. Active infrared cameras can emit infrared rays and collect infrared rays after the infrared rays act on objects to obtain infrared ray sensing information. Passive infrared cameras collect infrared rays emitted by living organisms to obtain infrared ray sensing information.
  • the radar sensing information of the preset road area is sensed through millimeter wave radar and/or lidar of roadside equipment.
  • Millimeter wave radar can be used to utilize the characteristics of electromagnetic waves for target positioning and tracking.
  • LiDAR can perform object recognition and tracking by detecting object edge and shape information. According to the radar sensing information of the preset road area, it can be determined whether the target object exists in the preset road area and when the target object exists, the position, moving speed and movement of the target object in the preset road area. trajectory and other information.
  • At least one of the following steps 1 and 2 may be used to perform safety protection operations on target objects located in the preset road area:
  • Step 1 Control the lighting of warning lights on both sides of the preset road area and/or on the road surface according to the information of the target object located in the preset road area.
  • the reminder light can be controlled to emit light of a color corresponding to the information of the target object located in the preset road area according to the information of the target object.
  • Different luminous colors of the warning light may represent different levels of danger and/or the length of distance the target object needs to travel to leave the preset road area.
  • the degree of danger may be characterized by the possibility of a collision between the target object and a vehicle to be driven to the preset road area. When the possibility of collision is greater, the degree of danger is higher; when the possibility of collision is smaller, the degree of danger is lower.
  • the warning lights can be arranged on the ground on both sides of the zebra crossing.
  • the warning lights can be evenly distributed on the ground on both sides of the zebra crossing.
  • the warning light may be located in a road surface groove, and the outer surface of the sealing plate of the groove forms the road surface.
  • the sealing plate can be a transparent wear-resistant and pressure-resistant polymer plastic plate.
  • the information of the target object includes the position information of the target object in the preset road area, the two sides and/or The color of the warning lights on the road.
  • Step 2 Send preset information according to the detection information, where the preset information is used for driving control of the target vehicle; the target vehicle and the preset road area satisfy preset conditions.
  • the wireless network method can be used to send the preset information through the server to the vehicles that meet the preset conditions in the preset road area;
  • V2X Vehicle to Everything/vehicle to X, vehicle to X
  • wireless communication technology wireless communication technology
  • the preset conditions can be set according to actual application needs. For example, when the forward direction of a certain vehicle is toward the preset road area, and the distance between the driving position of the vehicle and the preset road area is within the preset road area, If within the distance range, the vehicle is a vehicle that meets the preset conditions with the preset road area.
  • the vehicle it is possible to implement safety protection operations for target objects located in the preset road area in at least one way.
  • a driving risk warning is provided for vehicles that are to pass through the preset road area, thereby reducing the probability of a traffic accident occurring when the target object passes through the preset road area and ensuring the driving safety of the vehicle.
  • controlling the lighting of warning lights on both sides of the preset road area and/or on the road surface based on the information of the target object located in the preset road area includes:
  • the luminous color of the warning light is determined according to the information of the target object located in the preset road area, wherein different luminous colors of the warning light represent different degrees of danger and/or the target object leaves the location. Describes the length of journey required in the preset road area.
  • the information of the target object may include: the number, moving speed, position information and/or movement trajectory information of the target object.
  • the light color of the reminder light can include:
  • the luminous color of the warning light is controlled to be the first color; when the target object is located at the second position within the preset road area , controlling the luminous color of the warning light to be the second color; when the target object is located at a third position within the preset road area, controlling the luminous color of the warning light to be the third color.
  • the preset road area may include: a first sub-area, a second sub-area, a third sub-area and a fourth sub-area.
  • the first sub-area is an edge sub-area where the target object is waiting to pass
  • the second sub-area is between the first sub-area and the third sub-area
  • the third sub-area is between the first sub-area and the third sub-area.
  • the fourth sub-region is adjacent, and the fourth sub-region is an edge sub-region through which the target object completes passage.
  • the proportion of the first sub-region in the preset road area is a first preset proportion
  • the proportion of the third sub-region in the preset road area is a second preset proportion.
  • the first preset proportion may be greater than or equal to the second preset proportion, for example, the first preset proportion is 2/3 or 1/2.
  • the first position is located in the first sub-region or the fourth sub-region, and the first color is green.
  • the second position is located in the third sub-region, and the second color is yellow.
  • the third position is located in the second sub-region, and the third color is red.
  • the number, moving speed and/or movement trajectory information of the target objects can also be used to control the luminous color of the cue light.
  • the luminous color of the warning light can be controlled to be red, which indicates that there is a high possibility of a collision between the target object and a vehicle that is about to travel to the preset road area. , the risk level is high.
  • the moving speed of the target object can be calculated based on the position of the target object at different times in the preset road area.
  • the luminous color of the warning light can be controlled to be red, which means that the target object is more likely to collide with the vehicle to be driven to the preset road area, which is dangerous. To a high degree.
  • the movement trajectory information of the target object can be used to determine the distance traveled by the target object in the preset road area, and/or predict the remaining time and/or the remaining time for the target object to pass through the preset road area. Remaining distance.
  • the warning light can be controlled.
  • the luminous color is red, which means that the target object is likely to collide with the vehicle that is going to the preset road area, and the degree of danger is high.
  • the luminous color of the warning light can be controlled to be red, which means that the target object is likely to collide with the vehicle to be driven into the preset road area. The level of danger is high.
  • the method further includes the steps of:
  • step S12 performing safety protection operations on target objects located in the preset road area based on the detection information includes:
  • a safety protection operation is performed for the target object located in the preset road area based on the detection information.
  • the current scene of the preset road area can be used to reflect the light environment of the preset road area at the current moment.
  • the scenes of the preset road area can be divided according to the ambient brightness: scenes where the ambient brightness of the preset road area is lower than the brightness threshold, and scenes where the ambient brightness of the preset road area is higher than or equal to the brightness threshold.
  • the scenarios in which the ambient brightness of the preset road area is lower than the brightness threshold include but are not limited to: the scenario in which the ambient brightness of the preset road area is lower than the preset brightness threshold at night, and the preset road area is in rainy or snowy conditions. Wait for scenes under special weather conditions.
  • the target scene may be a scene in which the ambient brightness of the preset road area at night is lower than a preset brightness threshold.
  • the ambient brightness of the preset road area is lower than the preset brightness threshold.
  • the ambient brightness of the preset road area can be sensed by a brightness sensor of the roadside device.
  • the brightness threshold can be set according to actual application needs and is not specifically limited here.
  • the target scene can also be a scene in which the ambient brightness is higher than or equal to the brightness threshold under other circumstances. There are no specific limitations here.
  • the ambient brightness may be daylight brightness. If it is determined that the daylight brightness is lower than the brightness threshold, the current scene may be determined to be the target scene.
  • the ambient brightness may be the total brightness of daylight brightness and light brightness. If it is determined that the combined value of daylight brightness and light brightness is lower than the brightness threshold, the current scene may be determined to be the target scene.
  • safety protection operations are performed on the target objects located in the preset road area based on the detection information, so that This allows vehicles driving at night to respond promptly to target objects in the preset road area when they are about to drive to a preset road area with poor light environment, thereby reducing the risk of traffic accidents occurring when target objects pass through the preset road area. probability, while also ensuring the driving safety of the vehicle.
  • the scenes in the preset road area can also be divided according to the viewing distance into: scenes where the viewing distance is less than a predetermined distance, and scenes where the viewing distance is greater than or equal to the predetermined distance.
  • the predetermined distance can be set according to actual needs and is not specifically limited here.
  • the sight distance refers to the farthest distance at which the driver can continuously see the road markings of the preset road area from the normal driving position when the vehicle is driving normally.
  • the target scene may be a scene with a viewing distance smaller than a predetermined distance.
  • a safety protection operation is performed on the target object located in the preset road area, so that the driver can Vehicles approaching the preset road area that are relatively close to each other can respond promptly to target objects in the preset road area, thereby reducing the probability of a traffic accident occurring when the target object passes through the preset road area, and at the same time ensuring Vehicle driving safety.
  • determining the current scenario includes at least one of the following:
  • the target scene is a scene in which the ambient brightness of the preset road area at night is lower than a preset brightness threshold.
  • the ambient brightness of the preset road area at night will be lower than the preset brightness value.
  • the time period corresponding to the target scene can be set based on the actual situation of the preset road area.
  • the time range can be set to the time period from 21:00 at night to 4:00 in the morning the next day. It is understandable Yes, as long as it is a time period in which the ambient brightness of the preset road area at night is lower than the preset brightness threshold within this time range, the embodiment of the present disclosure does not specifically limit this.
  • the current scene may be determined to be the target scene.
  • the ambient brightness of the preset road area at night is higher than or equal to the preset brightness threshold, the current scene does not belong to the target scene.
  • the current moment is outside the time period corresponding to the target scene, and it is determined that the ambient brightness at the current moment is lower than the brightness threshold, it can be determined that the current scene is: the preset road area is rainy. Scenes under special weather conditions such as snow.
  • safety protection operations are performed on the target objects located in the preset road area according to the detection information, so that at night In scenarios with insufficient light, rainy weather, foggy weather, and other severe weather, it can effectively reduce the probability of traffic accidents when target objects pass through the preset road area due to the dark light at the preset road area.
  • sending preset information according to the detection information includes:
  • the information of the target objects in the preset road area is determined according to the detection information, wherein the information of the target objects includes: the number, moving speed, position information and/or movement trajectory information of the target objects.
  • the preset information can be sent to the vehicle that meets the preset conditions in the preset road area through the server, or the preset information can be directly sent to the vehicle through V2X. Sent to vehicles that meet preset conditions in the preset road area, which are not specifically limited here.
  • the detection information when the detection information indicates that there is a target object in the preset road area, the detection information can be sent as the preset information, or the individual target object in the preset road area can be determined based on the detection information. number, movement speed, location information and/or movement trajectory information.
  • the preset information when the detection information of the preset road area indicates that there is a target object in the preset road area, the preset information is sent. Since the preset information includes detection information and/or information of the target object in the preset road area, In this way, the vehicle that finally receives the preset information can use the preset information to perform safety protection operations on the target object, thereby effectively reducing the probability of the target object causing a traffic accident when passing through the preset road area.
  • FIG 3 is a schematic flowchart of an information processing method according to an exemplary embodiment.
  • the information processing method can be applied to the server in the environment diagram shown in Figure 1. As shown in Figure 3, the method can include Following steps:
  • S22 Receive the preset information sent by the roadside equipment based on the detection information in the preset road area;
  • S24 Send the preset information to the target vehicle that meets the preset conditions in the preset road area; wherein the preset information is used for driving control of the target vehicle.
  • the preset road area may include, but is not limited to: any area that pedestrians and/or animals and other living entities can pass through together with vehicles, such as intersection areas and zebra crossing areas.
  • Zebra crossing areas may include: pedestrian waiting areas and areas located in the pedestrian waiting areas. zebra crossing.
  • the detection information of the preset road area may be any information collected on the preset road area, including but not limited to: image information, audio information and/or radar measurement information.
  • the detection information can reflect road status information within the preset road area.
  • the road condition information includes: road surface condition information and/or passing status information of pedestrians and/or vehicles within the preset road area.
  • the road surface condition information can be used to reflect whether the road surface of the preset road area is smooth, whether there are obstacles on the road surface, the type of the preset road area, and whether the flood control manhole cover on the road surface is tightly fastened.
  • the passing status information of pedestrians and/or vehicles can reflect whether there are pedestrians and/or vehicles in the preset road area, whether there is congestion, the movement state of the target object, etc.
  • the type of the preset road area can be determined according to road planning, for example, zebra crossing, one-way line, roundabout or fork in the road, etc.
  • the detection information can be used to at least determine whether a target object exists within the preset road area.
  • the target objects may include: targets that require security protection.
  • the target objects include but are not limited to: living entities such as pedestrians and/or animals.
  • the preset conditions can be set according to actual application needs. For example, when the forward direction of a certain vehicle is toward the preset road area, and the distance between the driving position of the vehicle and the preset road area is within the preset road area, If within the distance range, the vehicle is a vehicle that meets the preset conditions with the preset road area.
  • the preset information received by the server may be sent to the server when the roadside device determines that the target object exists in the preset road area based on the detection information of the preset road area.
  • the server may determine the target vehicle that meets the preset conditions for the preset road area based on the vehicle information uploaded by multiple vehicles, and send the preset information to the target vehicle that meets the preset conditions for the preset road area. Set the conditional target vehicle.
  • the target objects may include living objects such as pedestrians or animals.
  • Embodiments of the present disclosure provide an information processing method that uses a server to receive preset information sent by a roadside device based on detection information of a preset road area, and sends the preset information to a location that satisfies the preset road area with the preset road area.
  • the conditional target vehicle enables the target vehicle to perform safety protection operations against target objects located in the preset road area.
  • the detection information of the preset road area is used to detect the target vehicle.
  • Performing safety protection operations on target objects can reduce the probability of traffic accidents when the target objects pass through the preset road area and reduce safety hazards in the preset road area.
  • the method further includes:
  • the target vehicle is determined from at least one of the candidate vehicles based on the driving information of each of the candidate vehicles.
  • the preset distance range can be set according to actual application needs.
  • the preset distance range is set to be greater than 0 and less than 10 meters, which is not specifically limited here.
  • the distance between the driving position of the vehicle and the preset road area refers to the current location of the vehicle traveling and the distance when the vehicle enters the preset road area. The distance between the earliest locations that need to be passed.
  • the server can obtain the vehicle information of each vehicle in real time, and the vehicle information can include vehicle positioning information and vehicle driving information.
  • vehicle positioning information of the vehicle can be used to determine the current driving position of the vehicle.
  • driving information of the vehicle may be used to determine the driving status of the vehicle, where the driving information of the vehicle may include driving direction information, driving speed, etc.
  • the number of target vehicles may be one or more.
  • the determination of at least one candidate vehicle whose distance between the driving position and the preset road area is within a preset distance range may include:
  • At least one candidate vehicle whose distance between the driving position and the preset road area is within a preset distance range is determined.
  • determining the target vehicle from at least one candidate vehicle according to the driving information of each candidate vehicle may include:
  • candidate vehicles heading to the preset road area are determined, and the candidate vehicles heading to the preset road area are determined as the target vehicles.
  • the vehicle in front will block the vision and detection of the vehicle behind.
  • the vehicle in front is about to pass the zebra crossing, especially after the vehicle in front brakes urgently to avoid pedestrians at the zebra crossing, it will block the vision and detection of the vehicle behind.
  • the reaction time left will be quite short, which can easily cause a rear-end collision with the vehicle behind.
  • the target vehicle by determining at least one candidate vehicle whose distance between the driving position and the preset road area is within a preset distance range, and determining the target vehicle from at least one of the candidate vehicles, such that the target vehicle is about to Both the vehicle passing the zebra crossing and the vehicle behind the vehicle can be used as target vehicles, receive the preset information sent by the server, and use the preset information to perform safety protection operations for the target objects located in the preset road area, thereby enabling Drivers of vehicles behind have more reaction time, ensuring driving safety.
  • the preset information includes at least one of the following:
  • the information of the target objects in the preset road area is determined according to the detection information, wherein the information of the target objects includes: the number, moving speed, position information and/or movement trajectory information of the target objects.
  • the server can send the preset information to the target vehicle, so that the target vehicle can use
  • the detection information of the preset road area and/or the information of the target object in the preset road area is used to perform safety protection operations on the target object, thereby effectively reducing the probability of a traffic accident occurring when the target object passes through the preset road area.
  • the detection information includes at least one of the following:
  • Video information of the preset road area
  • Radar sensing information of the preset road area.
  • Figure 4 is a schematic flow chart of an information processing method according to an exemplary embodiment.
  • the information processing method can be applied to the vehicle-mounted terminal of the vehicle in the environmental diagram shown in Figure 1.
  • Methods can include the following steps:
  • S32 Obtain preset information; wherein the preset information is used for driving control of the vehicle; the vehicle and the preset road area meet preset conditions;
  • the step of obtaining the preset information by the vehicle-mounted terminal can be implemented in at least one of the following ways:
  • Method 1 Receive the preset information sent by the server.
  • the vehicle's on-board terminal can obtain preset information from the server.
  • the preset information can be the preset information sent to the server by the roadside device based on the detection information of the preset road area, or it can be the preset road sent by the server based on the roadside device. Preset information determined by the detection information of the area.
  • Method 2 Receive preset information sent by roadside equipment.
  • the vehicle's on-board terminal can directly receive the preset information sent by the roadside device based on the detection information of the preset road area. For example, the vehicle's on-board terminal uses the V2X method to receive the preset information sent by the roadside device.
  • Method 3 Collect detection information of the preset road area and obtain the preset information.
  • the vehicle-mounted terminal of the vehicle may also collect the detection information of the preset road area through the vehicle to which the vehicle-mounted terminal belongs, and determine the preset information based on the detection information.
  • vehicle-mounted terminal can obtain the preset information using one or more of the above methods, and the embodiments of the present disclosure are not limited to this.
  • the vehicle-mounted terminal of the vehicle can issue early warning information to the driver of the vehicle based on the preset information, or control the driving state of the vehicle to implement execution of target objects located in the preset road area. Safety protection operation.
  • Embodiments of the present disclosure provide an information processing method that obtains preset information through a vehicle-mounted terminal. Since the preset information is used for driving control of the vehicle, and the vehicle and the preset road area meet preset conditions, in this way, in the preset When there are target objects in the road area, the preset information is used to perform safety protection operations on the target objects located in the preset road area, which can reduce the probability of traffic accidents when the target objects pass through the preset road area and reduce the preset Safety hazards within road areas.
  • the information processing method provided by the embodiment of the present disclosure is performed respectively. illustrate.
  • FIG. 5 is a schematic flow chart of an information processing method according to an exemplary embodiment.
  • the information processing method can be applied to the vehicle-mounted terminal of the vehicle in the environmental diagram shown in Figure 1.
  • Methods can include the following steps:
  • the vehicle-mounted terminal receives the preset information sent by the server and/or the roadside device; wherein the preset information is used for driving control of the vehicle; the vehicle and the preset road area meet preset conditions;
  • the vehicle to which the vehicle-mounted terminal that receives the preset information from the server and/or the roadside device satisfies the preset conditions with the preset road area.
  • the preset condition can be set according to actual application needs. For example, when the forward direction of a certain vehicle is toward the preset road area, and the distance between the driving position of the vehicle and the preset road area is Within the preset distance range, the vehicle is a vehicle that meets the preset conditions with the preset road area.
  • the preset information sent by the server may be preset information sent to the server by the roadside device, or may be information determined by the server based on the detection information of the preset road area sent by the roadside device.
  • embodiments of the present disclosure No specific limitation is made.
  • the preset information sent by the roadside device to the server may be preset information determined by the roadside device based on detection information of the preset road area.
  • the roadside device may determine at least one candidate vehicle whose driving position is within a preset distance range from the preset road area, and based on the driving information of each of the candidate vehicles, from at least one of the candidate vehicles.
  • the vehicle that meets the preset conditions in the preset road area is determined, and the preset information determined based on the detection information of the preset road area is sent to the vehicle-mounted terminal of the vehicle for driving control of the vehicle.
  • the vehicle-mounted terminal of the vehicle can issue early warning information to the driver of the vehicle based on the preset information, or control the driving state of the vehicle to implement execution of target objects located in the preset road area. Safety protection operation.
  • the target objects may include living objects such as pedestrians or animals.
  • Embodiments of the present disclosure provide an information processing method that receives preset information sent by a server through a vehicle-mounted terminal. Since the preset information is used for driving control of the vehicle, and the vehicle and the preset road area meet the preset conditions, in this way When there is a target object in the preset road area, using the preset information to perform safety protection operations on the target object located in the preset road area can reduce the probability of a traffic accident when the target object passes through the preset road area. Reduce safety hazards within preset road areas.
  • performing safety protection operations on target objects located in the preset road area based on the preset information in the above step S44 includes at least one of the following:
  • control instruction for the vehicle, wherein the control instruction is used to avoid the target object located in the preset road area by controlling the driving state of the vehicle.
  • the vehicle's on-board terminal can display driving prompts on the vehicle's display screen through a pop-up window, or issue an early warning by playing driving voice prompts to remind the driver of the vehicle.
  • Slow down or brake; in addition, the driving state of the vehicle can also be controlled by generating control instructions for the vehicle to avoid the target object located in the preset road area, which can effectively reduce the risk of the vehicle driving. Potential safety hazards and improve vehicle driving safety.
  • generating control instructions for the vehicle includes:
  • a control instruction for the vehicle is generated based on the preset information and the driving information of the vehicle.
  • the driving information of the vehicle can be obtained through various sensors of the vehicle.
  • the sensor includes: at least one of a camera, a radar, a laser sensor and an ultrasonic sensor.
  • the driving information of the vehicle may include at least one of the following: vehicle speed, gear position, steering wheel angle, turn signal status information, and driver status information.
  • the driver status information includes driver sitting posture information and driver facial expression information.
  • the driver's sitting posture information can reflect whether the driver's sitting posture is normal, for example, whether the driver bends over or leans sideways while driving.
  • the driver's facial status information can reflect whether the driver is inattentive, fatigued, depressed, etc. while driving.
  • the vehicle's control instructions may be used to control the operation of the vehicle's actuators (such as accelerator, brake pads, etc.).
  • the possibility of collision between the vehicle and the target object in the preset road area can be predicted based on the preset information and the vehicle's driving information; and based on the possibility of collision, a Control instructions for the vehicle.
  • the speed of the vehicle to be driven to the zebra crossing is relatively fast, or the driver of the vehicle leans over while driving, and if the pedestrian is in the middle of the zebra crossing at this time, it can be determined that the vehicle collided with the pedestrian. The possibility is higher.
  • the speed of the vehicle waiting to drive to the zebra crossing is relatively slow. If the pedestrian is about to reach the end position of the zebra crossing at this time, it can be determined that the possibility of a collision between the vehicle and the pedestrian is low.
  • the speed of the vehicle waiting to drive to the zebra crossing is relatively slow. If the pedestrian is in the pedestrian waiting area of the zebra crossing at this time, it can be determined that there is no possibility of a collision between the vehicle and the pedestrian.
  • the likelihood of a collision can be quantified by a probability value.
  • the probability value of a collision when the probability value of a collision is greater than a preset value, it is determined that the probability of a collision is relatively high. When the probability value of collision is greater than 0 and less than or equal to the preset value, it is determined that the probability of collision is low. When the probability value of collision is equal to 0, it is determined that there is no possibility of collision.
  • the preset value can be set according to actual application needs.
  • control instructions for the vehicle are generated based on the preset information and the driving information of the vehicle.
  • the vehicle When the vehicle is driving, there are blind spots, the driving speed is too fast, or the driver is inattentive, etc. In this way, it can reduce the occurrence of drivers not being able to perform driving control (such as slowing down) according to driving prompts in time, resulting in collisions with pedestrians in preset road areas (such as zebra crossings), thereby effectively reducing the safety hazards existing in vehicle driving and improving vehicle driving safety. safety.
  • the preset information includes at least one of the following:
  • the information of the target objects in the preset road area is determined according to the detection information, wherein the information of the target objects includes: the number, moving speed, position information and/or movement trajectory information of the target objects.
  • the vehicle can use the detection information of the preset road area and/or the preset road area.
  • the target object's information is used to perform safety protection operations on the target object, thereby effectively reducing the probability of a traffic accident occurring when the target object (such as a pedestrian) passes through a zebra crossing.
  • the detection information includes at least one of the following:
  • Video information of the preset road area
  • Radar sensing information of the preset road area.
  • Figure 6 is a schematic flow chart of an information processing method according to an exemplary embodiment.
  • the information processing method can be applied to the vehicle-mounted terminal of the vehicle in the environmental diagram shown in Figure 1.
  • Methods can include the following steps:
  • S52 Collect detection information of the preset road area
  • the preset road area may include, but is not limited to: any area that pedestrians and/or animals and other living entities can pass through together with vehicles, such as intersection areas and zebra crossing areas.
  • Zebra crossing areas may include: pedestrian waiting areas and areas located in the pedestrian waiting areas. zebra crossing.
  • the detection information of the preset road area may be any information collected on the preset road area, including but not limited to: image information, audio information and/or radar measurement information.
  • the detection information can reflect road status information within the preset road area.
  • the road condition information includes: road surface condition information and/or passing status information of pedestrians and/or vehicles within the preset road area.
  • the road surface condition information can be used to reflect whether the road surface of the preset road area is smooth, whether there are obstacles on the road surface, the type of the preset road area, and whether the flood control manhole cover on the road surface is tightly fastened.
  • the passing status information of pedestrians and/or vehicles can reflect whether there are pedestrians and/or vehicles in the preset road area, whether there is congestion, the movement state of the target object, etc.
  • the type of the preset road area can be determined according to road planning, for example, zebra crossing, one-way line, roundabout or fork in the road, etc.
  • the detection information can be used to at least determine whether a target object exists within the preset road area.
  • the target objects may include: targets that require security protection.
  • the target objects include but are not limited to: living entities such as pedestrians and/or animals.
  • the vehicle is provided with a sensor for sensing environmental information of the preset road area.
  • the vehicle-mounted terminal of the vehicle may detect the environmental information of the preset road area sensed by the sensor to obtain the detection information of the preset road area.
  • the sensor can be fixed on the front, side or other position of the vehicle.
  • the sensors may include visual cameras, infrared cameras, millimeter wave radar and/or LiDAR.
  • the vision camera can capture images within the range of the preset road area in real time.
  • Infrared cameras can capture objects under night vision conditions.
  • Millimeter wave radar can be used to utilize the characteristics of electromagnetic waves for target location and tracking.
  • LiDAR can perform object recognition and tracking by detecting object edge and shape information.
  • one or more sensors on the vehicle may be used to collect environmental information of the preset road area, detect the preset road area, and obtain detection information of the preset road area.
  • step S54 it may be determined according to the detection information whether there is a target object in the preset road area.
  • the preset information determined according to the detection information is used to determine whether the target object is located in the preset road area. Perform security protection operations on the target object.
  • the target objects may include living objects such as pedestrians or animals.
  • Embodiments of the present disclosure provide an information processing method that collects detection information of a preset road area through a vehicle-mounted terminal, and performs security protection for target objects located in the preset road area based on the preset information determined by the detection information. Operation, in this way, when there is a target object in the preset road area, the preset information determined based on the detection information of the preset road area is used to perform safety protection operations on the target object, which can reduce the risk of the target object passing through the preset road area. Reduce the probability of traffic accidents and reduce safety hazards in the preset road area.
  • the method further includes:
  • step S52 performing safety protection operations on target objects located in the preset road area based on the preset information determined based on the detection information includes:
  • a safety protection operation is performed for the target object located in the preset road area based on the preset information determined by the detection information.
  • the current scene may be used to determine whether to perform a safety protection operation for the target object located in the preset road area based on the preset information determined by the detection information.
  • the ambient brightness can be sensed by a sensor of the vehicle.
  • the brightness threshold can be set according to actual application needs and is not specifically limited here.
  • the current scene of the preset road area can be used to reflect the light environment of the preset road area at the current moment.
  • the scenes of the preset road area can be divided according to the ambient brightness: scenes where the ambient brightness of the preset road area is lower than the brightness threshold, and scenes where the ambient brightness of the preset road area is higher than or equal to the brightness threshold.
  • the scenarios in which the ambient brightness of the preset road area is lower than the brightness threshold include but are not limited to: the scenario in which the ambient brightness of the preset road area is lower than the preset brightness threshold at night, and the preset road area is in rainy or snowy conditions. Wait for scenes under special weather conditions.
  • the target scene may be a scene in which the ambient brightness of the preset road area at night is lower than a preset brightness threshold.
  • the ambient brightness of the preset road area is lower than the preset brightness threshold.
  • the ambient brightness of the preset road area can be sensed by a brightness sensor of the roadside device.
  • the brightness threshold can be set according to actual application needs and is not specifically limited here.
  • the target scene can also be a scene in which the ambient brightness is higher than or equal to the brightness threshold under other circumstances. There are no specific limitations here.
  • the ambient brightness may be daylight brightness. If it is determined that the daylight brightness is lower than the brightness threshold, the current scene may be determined to be the target scene.
  • the ambient brightness may be the total brightness of daylight brightness and light brightness. If it is determined that the combined value of daylight brightness and light brightness is lower than the brightness threshold, the current scene may be determined to be the target scene.
  • safety is performed for the target object located in the preset road area based on the preset information determined by the detection information.
  • Protective operation allows vehicles driving at night to respond promptly to target objects in the preset road area when they are about to drive to a preset road area with poor light environment, thereby reducing the risk of target objects passing through the preset road area. It reduces the probability of traffic accidents and also ensures the driving safety of vehicles.
  • the scenes in the preset road area can also be divided according to the viewing distance into: scenes where the viewing distance is less than a predetermined distance, and scenes where the viewing distance is greater than or equal to the predetermined distance.
  • the predetermined distance can be set according to actual needs and is not specifically limited here.
  • the sight distance refers to the farthest distance at which the driver can continuously see the road markings of the preset road area from the normal driving position when the vehicle is driving normally.
  • the target scene may be a scene with a viewing distance smaller than a predetermined distance.
  • a safety protection operation is performed on the target object located in the preset road area, so that the driver can Vehicles approaching the preset road area that are relatively close to each other can respond promptly to target objects in the preset road area, thereby reducing the probability of a traffic accident occurring when the target object passes through the preset road area, and at the same time ensuring Vehicle driving safety.
  • determining the current scenario includes at least one of the following:
  • the target scene is a scene in which the ambient brightness of the preset road area at night is lower than a preset brightness threshold.
  • the ambient brightness of the preset road area at night will be lower than the preset brightness value.
  • the time period corresponding to the target scene can be set based on the actual situation of the preset road area.
  • the time range can be set to the time period from 21:00 at night to 4:00 in the morning the next day. It is understandable Yes, as long as it is a time period in which the ambient brightness of the preset road area at night is lower than the preset brightness threshold within this time range, the embodiment of the present disclosure does not specifically limit this.
  • the current scene may be determined to be the target scene.
  • the ambient brightness of the preset road area at night is higher than or equal to the preset brightness threshold, the current scene does not belong to the target scene.
  • the current moment is outside the time period corresponding to the target scene, and it is determined that the ambient brightness at the current moment is lower than the brightness threshold, it can be determined that the current scene is: the preset road area is rainy. Scenes under special weather conditions such as snow.
  • safety protection operations are performed on the target objects located in the preset road area based on the preset information determined by the detection information. , in this way, in scenarios where there is insufficient light at night, rainy weather, foggy weather, or other severe weather, it can effectively reduce the probability of a traffic accident occurring when the target object passes through the preset road area due to the dark light at the preset road area. .
  • the preset information includes at least one of the following:
  • the information of the target objects in the preset road area determined according to the detection information wherein the information of the target objects includes: the number, moving speed, position information and/or movement trajectory information of the target objects.
  • the vehicle can use the detection information of the preset road area and/or the preset road area.
  • the target object's information is used to perform safety protection operations on the target object, thereby effectively reducing the probability of a traffic accident occurring when the target object passes through the preset road area.
  • the detection information includes at least one of the following:
  • Video information of the preset road area
  • Radar sensing information of the preset road area.
  • performing safety protection operations on target objects located in the preset road area based on the preset information determined by the detection information in the above step S44 includes at least one of the following:
  • control instruction for the vehicle, wherein the control instruction is used to avoid the target object located in the preset road area by controlling the driving state of the vehicle.
  • generating control instructions for the vehicle includes:
  • a control instruction for the vehicle is generated based on the preset information and the driving information of the vehicle.
  • the driving information of the vehicle can be obtained through various sensors of the vehicle.
  • the sensor includes: at least one of a camera, a radar, a laser sensor and an ultrasonic sensor.
  • the driving information of the vehicle may include at least one of the following: vehicle speed, gear position, steering wheel angle, turn signal status information, and driver status information.
  • the driver status information includes driver sitting posture information and driver facial expression information.
  • the driver's sitting posture information can reflect whether the driver's sitting posture is normal, for example, whether the driver bends over or leans sideways while driving.
  • the driver's facial status information can reflect whether the driver is inattentive, fatigued, depressed, etc. while driving.
  • the vehicle's control instructions may be used to control the operation of the vehicle's actuators (such as accelerator, brake pads, etc.).
  • the possibility of collision between the vehicle and the target object in the preset road area can be predicted based on the preset information and the vehicle's driving information; and based on the possibility of collision, a Control instructions for the vehicle.
  • the speed of the vehicle to be driven to the zebra crossing is relatively fast, or the driver of the vehicle leans over while driving, and if the pedestrian is in the middle of the zebra crossing at this time, it can be determined that the vehicle collided with the pedestrian. The possibility is higher.
  • the speed of the vehicle waiting to drive to the zebra crossing is relatively slow. If the pedestrian is about to reach the end position of the zebra crossing at this time, it can be determined that the possibility of a collision between the vehicle and the pedestrian is low.
  • the speed of the vehicle waiting to drive to the zebra crossing is relatively slow. If the pedestrian is in the pedestrian waiting area of the zebra crossing at this time, it can be determined that there is no possibility of a collision between the vehicle and the pedestrian.
  • the likelihood of a collision can be quantified by a probability value.
  • the probability value of a collision when the probability value of a collision is greater than a preset value, it is determined that the probability of a collision is relatively high. When the probability value of collision is greater than 0 and less than or equal to the preset value, it is determined that the probability of collision is low. When the probability value of collision is equal to 0, it is determined that there is no possibility of collision.
  • the preset value can be set according to actual application needs.
  • control instructions for the vehicle are generated based on the preset information and the driving information of the vehicle.
  • the vehicle When the vehicle is driving, there are blind spots, the driving speed is too fast, or the driver is inattentive, etc. In this way, it can reduce the occurrence of drivers not being able to perform driving control (such as slowing down) according to driving prompts in time, resulting in collisions with pedestrians in preset road areas (such as zebra crossings), thereby effectively reducing the safety hazards existing in vehicle driving and improving vehicle driving safety. safety.
  • embodiments of the present disclosure provide an information processing method that can reduce potential safety hazards during vehicle driving and improve vehicle driving safety.
  • a zebra crossing pedestrian detection system (which may include the roadside equipment in the above embodiment) capable of detecting whether pedestrians are at the zebra crossing and the pedestrian's position at the zebra crossing is set up in the zebra crossing waiting area (for example, On the traffic light pole in the zebra crossing waiting area), the zebra crossing pedestrian detection system can include hardware systems such as cameras, processors running pedestrian detection algorithms, central processing units, and warning lights, as well as software systems such as pedestrian detection algorithms.
  • the Field of View (FoV) of the camera in the zebra crossing pedestrian detection system will cover the entire zebra crossing to detect whether there are pedestrians on the zebra crossing.
  • FoV Field of View
  • the zebra crossing pedestrian detection system detects whether there are pedestrians on the zebra crossing that the vehicle is about to pass and the location information of the pedestrians on the zebra crossing, and obtains detection information. The detection information is fed back to the vehicle that is about to pass through the road warning light.
  • the warning light will be green and vehicles can pass normally. If there is a pedestrian on the zebra crossing and the pedestrian is located in the front 1/3 of the zebra crossing, the warning light will be yellow. If there is a pedestrian on the zebra crossing and the pedestrian is located at the rear 2/3 of the zebra crossing, the warning light will be red, and the vehicle must stop and wait at the warning light until the pedestrian passes the zebra crossing before passing.
  • the above-mentioned zebra crossing pedestrian detection system detects whether there are pedestrians on the zebra crossing that the vehicle is about to pass and the location information of the pedestrians on the zebra crossing, and obtains the detection information.
  • the detection information can be forwarded to the vehicle that is about to pass through the cloud server.
  • the vehicle's on-board terminal makes a voice prompt of pedestrian traffic or no pedestrian traffic based on the detection information, and displays the prompt information on the vehicle's display screen.
  • the front-view and side-view cameras of the vehicle are used to detect whether there are pedestrians passing on the zebra crossing where the vehicle is to pass and the location information of the pedestrians on the zebra crossing, and the detection information is obtained. Based on the detection information, a decision is made that there are pedestrians. Voice prompts for traffic and no pedestrian traffic, and the prompt information is displayed on the display screen of the vehicle.
  • FIG. 7 is a schematic structural diagram of an information processing device applied to roadside equipment according to an exemplary embodiment of the present disclosure.
  • the information processing device can be applied to roadside equipment in the implementation environment shown in FIG. 1 .
  • the information processing device may include:
  • the first collection module 102 is used to collect detection information of the preset road area
  • the first processing module 104 is configured to perform safety protection operations for target objects located in the preset road area according to the detection information.
  • the first processing module 104 is configured to perform at least one of the following:
  • Preset information is sent according to the detection information, wherein the preset information is used for driving control of the target vehicle; the target vehicle and the preset road area satisfy preset conditions.
  • the detection information includes at least one of the following:
  • Video information of the preset road area
  • Radar sensing information of the preset road area.
  • the first processing module 104 is specifically configured to perform:
  • the luminous color of the warning light is determined according to the position of the target object within the preset road area, wherein different luminous colors of the warning light represent different degrees of danger and/or the target object leaves the Define the length of journey required to travel through the road area.
  • the device further includes:
  • the first determination module is used to determine the current scene
  • the first collection module 102 is specifically used for:
  • a safety protection operation is performed for the target object located in the preset road area based on the detection information.
  • the first determining module is configured to perform at least one of the following:
  • the first processing module 104 is specifically used to:
  • the information of the target objects in the preset road area is determined according to the detection information, wherein the information of the target objects includes: the number, moving speed, position information and/or movement trajectory information of the target objects.
  • FIG. 8 is a schematic structural diagram of an information processing device applied to a server according to an exemplary embodiment of the present disclosure.
  • the information processing device can be applied to a server in the implementation environment shown in Figure 1 to perform the steps of the information processing method in the embodiment shown in Figure 3.
  • the information processing device may include:
  • the first receiving module 202 is used to receive preset information sent by the roadside equipment according to the detection information in the preset road area;
  • the sending module 204 is configured to send the preset information to a target vehicle that meets a preset condition in the preset road area; wherein the preset information is used for driving control of the target vehicle.
  • the device further includes a second determination module, the second determination module is specifically configured to:
  • the target vehicle is determined from at least one of the candidate vehicles based on the driving information of each of the candidate vehicles.
  • the preset information includes at least one of the following:
  • the information of the target objects in the preset road area is determined according to the detection information, wherein the information of the target objects includes: the number, moving speed, position information and/or movement trajectory information of the target objects.
  • the detection information includes at least one of the following:
  • Video information of the preset road area
  • Radar sensing information of the preset road area.
  • FIG. 9 is a schematic structural diagram of an information processing device applied to a vehicle-mounted terminal according to an exemplary embodiment of the present disclosure.
  • the information processing device can be applied to a vehicle-mounted terminal of a vehicle in the implementation environment shown in FIG. 1 to execute the steps of the information processing method in the embodiment shown in FIG. 4 .
  • the information processing device may include:
  • the acquisition module 302 is used to obtain preset information; wherein the preset information is used for driving control of the vehicle; the vehicle and the preset road area satisfy preset conditions;
  • the second processing module 304 is configured to perform safety protection operations for target objects located in the preset road area according to the preset information.
  • the acquisition module 302 is configured to perform at least one of the following:
  • FIG. 10 is a schematic structural diagram of an information processing device applied to a vehicle-mounted terminal according to an exemplary embodiment of the present disclosure.
  • the information processing device can be applied to a vehicle-mounted terminal of a vehicle in the implementation environment shown in FIG. 1 .
  • the information processing device may include:
  • the second receiving module 402 is used to receive preset information sent by the server and/or roadside equipment; wherein the preset information is used for driving control of the vehicle; the vehicle and the preset road area satisfy the preset condition;
  • the second processing module 304 is configured to perform safety protection operations for target objects located in the preset road area according to the preset information.
  • the second processing module 304 is configured to perform at least one of the following:
  • control instruction for the vehicle, wherein the control instruction is used to avoid the target object located in the preset road area by controlling the driving state of the vehicle.
  • the second processing module 304 is specifically used to:
  • a control instruction for the vehicle is generated based on the preset information and the driving information of the vehicle.
  • the preset information includes at least one of the following:
  • the information of the target objects in the preset road area is determined according to the detection information, wherein the information of the target objects includes: the number, moving speed, position information and/or movement trajectory information of the target objects.
  • the detection information includes at least one of the following:
  • Video information of the preset road area
  • Radar sensing information of the preset road area.
  • FIG. 11 is a schematic structural diagram of an information processing device applied to roadside equipment according to an exemplary embodiment of the present disclosure.
  • the information processing device can be applied to a vehicle-mounted terminal of a vehicle in the implementation environment shown in FIG. 1 .
  • the information processing device may include:
  • the second collection module 502 is used to collect detection information of the preset road area
  • the second processing module 304 is configured to perform safety protection operations for target objects located in the preset road area according to the preset information determined by the detection information.
  • the device further includes:
  • the third determination module is used to determine the current scene
  • the second processing module 304 is specifically used to:
  • a safety protection operation is performed for the target object located in the preset road area based on the preset information determined by the detection information.
  • the third determining module is configured to perform at least one of the following:
  • the third determination module is specifically used to:
  • a safety protection operation is performed for the target object located in the preset road area.
  • the preset information includes at least one of the following:
  • the information of the target objects in the preset road area is determined according to the detection information, wherein the information of the target objects includes: the number, moving speed, position information and/or movement trajectory information of the target objects.
  • the detection information includes at least one of the following:
  • Video information of the preset road area
  • Radar sensing information of the preset road area.
  • the second processing module 304 is configured to perform at least one of the following:
  • control instruction for the vehicle, wherein the control instruction is used to avoid the target object located in the preset road area by controlling the driving state of the vehicle.
  • the second processing module 304 is specifically used to:
  • a control instruction for the vehicle is generated based on the preset information and the driving information of the vehicle.
  • An embodiment of the present disclosure provides an electronic device, including:
  • Memory used to store instructions executable by the processor
  • the processor is configured to: when executing the executable instructions, implement the information processing method provided by any of the foregoing technical solutions.
  • the processor may include various types of storage media, which are non-transitory computer storage media that can continue to store information stored thereon after the electronic device is powered off.
  • the processor can be connected to the memory through a bus, etc., and is used to read the executable program stored in the memory.
  • the information processing method applied to the roadside device as in the previous embodiment or the information processing method applied to the vehicle-mounted terminal as in the previous embodiment.
  • FIG. 12 is a block diagram of an electronic device according to an exemplary embodiment.
  • the electronic device 800 may include one or more of the following components: a processing component 802 , a memory 804 , a power supply component 806 , a multimedia component 808 , an audio component 810 , an input/output (I/O) interface 812 , and a sensor component 814 , and communication component 816.
  • a processing component 802 a memory 804 , a power supply component 806 , a multimedia component 808 , an audio component 810 , an input/output (I/O) interface 812 , and a sensor component 814 , and communication component 816.
  • Processing component 802 generally controls the overall operations of electronic device 800, such as operations associated with display, phone calls, data communications, camera operations, and recording operations. Processing component 802 may include one or more processors 820 to execute instructions to generate all or part of the steps of the methods described above. Additionally, processing component 802 may include one or more modules that facilitate interaction between processing component 802 and other components. For example, processing component 802 may include a multimedia module to facilitate interaction between multimedia component 808 and processing component 802.
  • Memory 804 is configured to store various types of data to support operations at electronic device 800 . Examples of such data include instructions for any application or method operating on the electronic device 800, contact data, phonebook data, messages, pictures, videos, etc.
  • Memory 804 may be implemented by any type of volatile or non-volatile storage device, or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EEPROM), Programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disk.
  • SRAM static random access memory
  • EEPROM electrically erasable programmable read-only memory
  • EEPROM erasable programmable read-only memory
  • EPROM Programmable read-only memory
  • PROM programmable read-only memory
  • ROM read-only memory
  • magnetic memory flash memory, magnetic or optical disk.
  • Power supply component 806 provides power to various components of electronic device 800 .
  • Power supply components 806 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power to electronic device 800 .
  • Multimedia component 808 includes a screen that provides an output interface between the electronic device 800 and the user.
  • the screen may include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive input signals from the user.
  • the touch panel includes one or more touch sensors to sense touches, swipes, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure associated with the touch or slide action.
  • multimedia component 808 includes a front-facing camera and/or a rear-facing camera.
  • the front camera and/or the rear camera may receive external multimedia data.
  • Each front-facing camera and rear-facing camera can be a fixed optical lens system or have a focal length and optical zoom capabilities.
  • Audio component 810 is configured to output and/or input audio signals.
  • audio component 810 includes a microphone (MIC) configured to receive external audio signals when electronic device 800 is in operating modes, such as call mode, recording mode, and voice recognition mode. The received audio signal may be further stored in memory 804 or sent via communication component 816 .
  • audio component 810 also includes a speaker for outputting audio signals.
  • the I/O interface 812 provides an interface between the processing component 802 and a peripheral interface module, which may be a keyboard, a click wheel, a button, etc. These buttons may include, but are not limited to: Home button, Volume buttons, Start button, and Lock button.
  • Sensor component 814 includes one or more sensors for providing various aspects of status assessment for electronic device 800 .
  • the sensor component 814 can detect the open/closed state of the device 800, the relative positioning of components, such as the display and keypad of the electronic device 800.
  • the sensor component 814 can also detect the electronic device 800 or a component of the electronic device 800. changes in position, the presence or absence of user contact with the electronic device 800 , the orientation or acceleration/deceleration of the electronic device 800 and changes in the temperature of the electronic device 800 .
  • Sensor assembly 814 may include a proximity sensor configured to detect the presence of nearby objects without any physical contact.
  • Sensor assembly 814 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications.
  • the sensor component 814 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.
  • Communication component 816 is configured to facilitate wired or wireless communication between electronic device 800 and other devices.
  • the electronic device 800 can access a wireless network based on a communication standard, such as WiFi, 2G or 3G, or a combination thereof.
  • the communication component 816 receives broadcast signals or broadcast related information from an external broadcast management system via a broadcast channel.
  • the communications component 816 also includes a near field communications (NFC) module to facilitate short-range communications.
  • NFC near field communications
  • the NFC module can be implemented based on radio frequency identification (RFID) technology, infrared data association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology and other technologies.
  • RFID radio frequency identification
  • IrDA infrared data association
  • UWB ultra-wideband
  • Bluetooth Bluetooth
  • electronic device 800 may be configured by one or more application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable Programming gate array (FPGA), controller, microcontroller, microprocessor or other electronic components are implemented and used to execute the above information processing method on the roadside equipment side or the above information processing method on the vehicle terminal side of the vehicle.
  • ASICs application specific integrated circuits
  • DSPs digital signal processors
  • DSPDs digital signal processing devices
  • PLDs programmable logic devices
  • FPGA field programmable Programming gate array
  • controller microcontroller, microprocessor or other electronic components are implemented and used to execute the above information processing method on the roadside equipment side or the above information processing method on the vehicle terminal side of the vehicle.
  • a non-transitory computer-readable storage medium including instructions such as a memory 804 including instructions, executable by the processor 820 of the electronic device 800 to generate the above method is also provided.
  • the non-transitory computer-readable storage medium may be ROM, random access memory (RAM), CD-ROM, magnetic tape, floppy disk, optical data storage device, etc.
  • server 900 includes a processing component 922, which further includes one or more processors, and memory resources represented by memory 932 for storing instructions, such as application programs, executable by processing component 922.
  • the application program stored in memory 932 may include one or more modules, each corresponding to a set of instructions.
  • the processing component 922 is configured to execute instructions to perform the above method and the aforementioned information processing method applied on the server.
  • Server 900 may also include a power supply component 926 configured to perform power management of server 900, a wired or wireless network interface 950 configured to connect server 900 to a network, and an input/output (I/O) interface 958.
  • Server 900 may operate based on an operating system stored in memory 932, such as Windows ServerTM, Mac OS XTM, UnixTM, LinuxTM, FreeBSDTM or the like.

Abstract

本公开实施例提供一种信息处理方法及装置、电子设备及存储介质。信息处理方法应用于路侧设备，方法包括：采集预设道路区域的检测信息（S12）；根据检测信息，针对位于预设道路区域内的目标对象执行安全防护操作（S14）。

Description

信息处理方法及装置、电子设备及存储介质 技术领域
本公开涉及车联网技术领域但不限于车联网技术领域，尤其涉及一种信息处理方法及装置、电子设备及存储介质。
背景技术
为了交通安全，在道路的路口一般均设置有交通信号灯。行人以及来往车辆需根据交通信号灯的指示，按照交通规则来穿过路口。例如，当交叉路口的交通信号灯显示为绿灯时，面对绿灯的行人可以通过人行横道(即，斑马线)直行，面对绿灯的车辆可以左转弯。
在没有交通信号灯指示的斑马线上，主要是依靠驾驶车辆的司机观察，来判断斑马线上是否有行人，如果斑马线上有行人的话，则需对行人进行避让。
然而，当斑马线上有行人时，由于车辆行车存在盲区、夜间行车或者部分行人通过斑马线的安全意识差等原因，将会导致斑马线上存在一定的安全隐患。
发明内容
本公开实施例提供一种信息处理方法及装置、电子设备及存储介质。
本公开实施例第一方面提供一种信息处理方法，应用于路侧设备，所述方法包括：
采集预设道路区域的检测信息；
根据所述检测信息，针对位于所述预设道路区域内的目标对象执行安全防护操作。
本公开实施例第二方面提供一种信息处理方法，应用于服务器，所述方法包括：
接收路侧设备根据预设道路区域内的检测信息发送的预设信息；
将所述预设信息发送至与所述预设道路区域满足预设条件的目标车辆；其中，所述预设信息，用于所述目标车辆的行车控制。
本公开实施例第三方面提供一种信息处理方法，应用于车辆的车载终端，所述方法包括：
获取预设信息；其中，所述预设信息，用于所述车辆的行车控制；所述车辆与预设道路区域满足预设条件；
根据所述预设信息，针对位于所述预设道路区域内的目标对象执行安全防护操作。
本公开实施例第四方面提供一种信息处理装置，应用于路侧设备，所述装置包括：
第一采集模块，用于采集预设道路区域的检测信息；
第一处理模块，用于根据所述检测信息，针对位于所述预设道路区域内的目标对象执行安全防 护操作。
本公开实施例第五方面提供一种信息处理装置，应用于服务器，所述装置包括：
第一接收模块，用于接收路侧设备根据预设道路区域内的检测信息发送的预设信息；
发送模块，用于将所述预设信息发送至与所述预设道路区域满足预设条件的目标车辆；其中，所述预设信息，用于所述目标车辆的行车控制。
本公开实施例第六方面提供一种信息处理装置，应用于车辆的车载终端，所述装置包括：
获取模块，用于获取预设信息；其中，所述预设信息，用于所述车辆的行车控制；所述车辆与预设道路区域满足预设条件；
第二处理模块，用于根据所述预设信息，针对位于所述预设道路区域内的目标对象执行安全防护操作。
本公开实施例第七方面提供一种电子设备，包括：
处理器；
用于存储处理器可执行指令的存储器；
其中，所述处理器被配置为：执行所述可执行指令时，实现如前述第一方面和第三方面任意一个方面提供的所述信息处理方法中的步骤。
本公开实施例第八方面提供一种服务器，包括：
处理器；
用于存储处理器可执行指令的存储器；
其中，所述处理器被配置为：执行所述可执行指令时，实现如前述第二方面提供的所述信息处理方法中的步骤。
本公开实施例第九方面提供一种计算机存储介质，所述计算机存储介质存储有可执行程序；所述可执行程序被处理器执行后，能够实现如前述第一方面至第三方面任意一项提供的所述信息处理方法中的步骤。
本公开实施例提供一种信息处理方法，通过根据预设道路区域的检测信息，针对位于所述预设道路区域内的目标对象执行安全防护操作，这样在预设道路区域内存在目标对象的情况下，利用预设道路区域的检测信息来对目标对象执行安全防护操作，能够降低目标对象在通过预设道路区域时发生交通事故的概率，减少预设道路区域内的安全隐患。
应当理解的是，以上的一般描述和后文的细节描述仅是示例性和解释性的，并不能限制本公开实施例。
附图说明
此处的附图被并入说明书中并构成本说明书的一部分，示出了符合本发明实施例，并与说明书一起用于解释本发明实施例的原理。
图1是根据一示例性实施例示出的一种信息处理方法的环境示意图；
图2是根据一示例性实施例示出的一种信息处理方法的流程示意图；
图3是根据一示例性实施例示出的一种信息处理方法的流程示意图；
图4是根据一示例性实施例示出的一种信息处理方法的流程示意图；
图5是根据一示例性实施例示出的一种信息处理方法的流程示意图；
图6是根据一示例性实施例示出的一种信息处理方法的流程示意图；
图7是根据一示例性实施例示出的一种信息处理装置的结构示意图；
图8是根据一示例性实施例示出的一种信息处理装置的结构示意图；
图9是根据一示例性实施例示出的一种信息处理装置的结构示意图；
图10是根据一示例性实施例示出的一种信息处理装置的结构示意图；
图11是根据一示例性实施例示出的一种信息处理装置的结构示意图；
图12是根据一示例性实施例示出的一种电子设备的结构示意图；
图13是根据一示例性实施例示出的一种服务器的结构示意图。
具体实施方式
这里将详细地对示例性实施例进行说明，其示例表示在附图中。下面的描述涉及附图时，除非另有表示，不同附图中的相同数字表示相同或相似的要素。以下示例性实施例中所描述的实施方式并不代表与本发明实施例相一致的所有实施方式。相反，它们仅是本发明实施例的一些方面相一致的装置和方法的例子。
在本公开实施例使用的术语是仅仅出于描述特定实施例的目的，而非旨在限制本公开实施例。在本公开所使用的单数形式的“一种”、“所述”和“该”也旨在包括多数形式，除非上下文清楚地表示其他含义。还应当理解，本文中使用的术语“和/或”是指并包含一个或多个相关联的列出项目的任何或所有可能组合。
应当理解，尽管在本公开实施例可能采用术语第一、第二、第三等来描述各种信息，但这些信息不应限于这些术语。这些术语仅用来将同一类型的信息彼此区分开。例如，在不脱离本公开实施例范围的情况下，第一信息也可以被称为第二信息，类似地，第二信息也可以被称为第一信息。取决于语境，如在此所使用的词语“如果”可以被解释成为“在……时”或“当……时”或“响应于确定”。
可以理解的是，本公开对各个实施例的描述着重强调各个实施例之间的不同之处，其相同或相似之处可以相互参考，为了简洁，不再一一赘述。
请参阅图1，图1是根据一示例性实施例示出的一种信息处理方法的环境示意图，该信息处理方法的实施环境可以为一种车联网系统。其中，车联网是指车辆上的车载设备通过无线通信技术，对信息网络平台中的所有车辆动态信息进行有效利用，以在车辆运行中提供不同的功能服务。如图1所示，该车联网系统包括路侧设备11、服务器12及车辆13。路侧设备11可以设置有用于感知所述预设道路区域的环境信息的传感器。所述路侧设备可以对自身传感器感知的所述预设道路区域的 环境信息进行检测，并将根据所述预设道路区域的检测信息确定的预设信息通过服务器12发送车辆13的车载终端。车辆13的车载终端根据所述预设道路区域的预设信息，针对位于所述预设道路区域内的目标对象执行安全防护操作。
可以理解的是，车辆13也可以通过自身的传感器感知所述预设道路区域的环境信息，对自身传感器所感知的所述预设道路区域的环境信息进行检测，并根据所述预设道路区域的检测信息，针对位于所述预设道路区域内的目标对象执行安全防护操作。
另外，应当理解的是，图1所示的服务器12及车辆13的数目仅仅是示意性的，根据实际需要，该车联网系统可以具有任意数目的服务器12和车辆13，例如服务器12可以是由多个服务器组成的云服务器集群。
图2是根据一示例性实施例示出的一种信息处理方法的流程示意图，所述信息处理方法可应用于图1所示的环境示意图中的路侧设备，如图2所示，所述方法可以包括以下步骤：
S12：路侧设备采集预设道路区域的检测信息；
S14：根据所述检测信息，针对位于所述预设道路区域内的目标对象执行安全防护操作。
在本公开实施例中，所述信息处理方法可由路侧设备执行，该路侧设备为位于预设道路区域周围或者预设道路区域内的设备，具体地，该路侧设备可包括但不限于包括摄像头、处理器单元和激光雷达。其中，所述路侧设备可以按照预设间距固定设置在靠近所述预设道路区域的位置处。
预设道路区域可以包括但不限于：任意行人和/或动物等活体与车辆共同可经过的区域，例如，交叉路口区域和斑马线区域，斑马线区域可包括：行人等待区以及位于所述行人等待区的斑马线。
其中，所述预设道路区域的检测信息可为各种对预设道路区域采集的任意信息，包括但不限于：图像信息、音频信息和/或雷达测量信息。
该检测信息可反映预设道路区域内的道路状态信息。该道路状况信息包括：路面状况信息和/或预设道路区域内的行人和/或车辆等经过状态信息。所述路面状况信息可用于反映预设道路区域的路面是否平整、路面是否存在障碍物、预设道路区域的类型、路面的防洪井盖是否扣合严实。所述行人和/或车辆等经过状态信息可反映预设道路区域内是否有行人和/或车辆、是否出现拥塞、目标对象所处的运动状态等。
所述预设道路区域的类型可以根据道路规划确定，例如，斑马线、单行线、环岛或者岔路口等。
示例性地，所述检测信息至少可以用于确定所述预设道路区域内是否存在目标对象。
所述目标对象可包括：需要进行安全防护的目标。该目标对象包括但不限于：行人和/或动物等生命体。
其中，路侧设备设置有用于感知所述预设道路区域的环境信息的传感器。所述路侧设备可以对传感器感知的所述预设道路区域的环境信息进行检测，得到所述预设道路区域的检测信息。
所述传感器可以固定在所述预设道路区域的上方或其他位置，例如安装在所述预设道路区域所在范围内的红绿灯杆上。
所述传感器可以包括视觉摄像头、红外摄像头、毫米波雷达和/或激光雷达(LiDAR)。
视觉摄像头可以实时拍摄所述预设道路区域所在范围内的画面。红外摄像头可以在夜视情况下捕捉物体。毫米波雷达可以用于利用电磁波的特性进行目标定位和跟踪。激光雷达可以通过检测物体边缘和形状信息进行物体识别和跟踪。
在实现步骤S12时，可以通过所述路侧设备的一个或多个传感器采集所述预设道路区域的环境信息，对所述预设道路区域进行检测，得到所述预设道路区域的检测信息。
在实现步骤S14时，可以根据所述检测信息确定预设道路区域内是否存在目标对象，当确定存在目标对象时，针对位于所述预设道路区域内的目标对象执行安全防护操作。其中，所述目标对象可包括行人或动物等活体对象。
本公开实施例提供一种信息处理方法，通过路侧设备根据预设道路区域的检测信息，针对位于所述预设道路区域内的目标对象执行安全防护操作，这样在预设道路区域内存在目标对象的情况下，利用预设道路区域的检测信息来对目标对象执行安全防护操作，能够降低目标对象在通过预设道路区域时发生交通事故的概率，减少预设道路区域内的安全隐患。
在一个实施例中，上述步骤S14中所述根据所述检测信息，针对位于所述预设道路区域内的目标对象执行安全防护操作，可以包括：
根据所述检测信息，确定所述预设道路区域内是否存在所述目标对象；
当所述预设道路区域内存在所述目标对象时，针对位于所述预设道路区域内的目标对象执行安全防护操作。
在一个实施例中，所述检测信息包括以下至少之一：
所述预设道路区域的视频信息；
所述预设道路区域的红外线感测信息；
所述预设道路区域的雷达感知信息。
具体地，可以通过所述预设道路区域的视频信息、红外线感测信息和/或雷达感知信息，确定所述预设路口区域内是否存在所述目标对象，并在所述预设道路区域内存在所述目标对象时，针对位于所述预设道路区域内的目标对象执行安全防护操作。
其中，所述预设道路区域的视频信息是通过路侧设备的视觉摄像头拍摄到的，通过路侧设备内置的目标检测算法对所述预设道路区域的视频信息进行检测，可以确定所述预设道路区域内是否存在所述目标对象。例如，基于人脸识别算法或者人体识别算法，检测视频数据的一个或多个视频帧中是否出现人脸或者人体，若识别出有人脸和/或有人体，则至少可确定存在目标对象。
进一步，可以根据视频信息的图像采集设备的位置和/或采集参数(例如焦距)等，确定出目标对象在预设道路区域内的位置，并可以进一步确定目标对象在预设道路区域内的移动速度、运动轨迹等信息。
所述预设道路区域的红外线感测信息是通过路侧设备的近红外线摄像头或与远红外线摄像头的传感器感测到的，根据预设道路区域的红外线感测信息，可以确定所述预设道路区域内是否存在所述目标对象。例如，该红外线摄像头可为被动式红外线摄像头或者主动式红外线摄像头。主动式红 外线摄像头可以发射红外线，并采集红外线作用于物体之后的红外线从而得到红外线感测信息。被动式红外线摄像头采集生命体发射的红外线，从而获得红外线感测信息。
所述预设道路区域的雷达感知信息是通过路侧设备的毫米波雷达和/或激光雷达感知到的，毫米波雷达可以用于利用电磁波的特性进行目标定位和跟踪。激光雷达可以通过检测物体边缘和形状信息进行物体识别和跟踪。根据预设道路区域的雷达感知信息，可以确定所述预设道路区域内是否存在所述目标对象以及存在所述目标对象时，所述目标对象在预设道路区域内的位置、移动速度、运动轨迹等信息。
在一个实施例中，所述针对位于所述预设道路区域内的目标对象执行安全防护操作，可以采用以下步骤一和步骤二中的至少一个：
步骤一：根据位于所述预设道路区域内的所述目标对象的信息，控制所述预设道路区域两侧和/或路面上的提示灯的发光。
其中，所述提示灯可以根据位于所述预设道路区域内的所述目标对象的信息，被控制地发出与所述目标对象的信息对应的颜色的光。
所述提示灯的不同发光颜色可以代表不同的危险程度和/或所述目标对象离开所述预设道路区域所需经历的路程长短。
所述危险程度可表征为：所述目标对象与待行驶至所述预设道路区域的车辆发生碰撞的可能性。当发生碰撞的可能性越大时，危险程度越高；当发生碰撞的可能性越小时，危险程度越低。
示例性地，当预设道路区域内包含斑马线时，所述提示灯可以设置在斑马线两侧的地面上，例如，所述提示灯可以均匀分布在斑马线两侧的地面上。该提示灯可位于路面凹槽内，且该凹槽的密封板的外表面构成路面。该密封板可为透明耐磨耐压的高分子塑料板。
示例性地，当所述目标对象的信息包括所述目标对象在所述预设道路区域的位置信息时，可以根据所述目标对象的位置信息，控制所述预设道路区域两侧和/或路面上的提示灯的发光颜色。
步骤二：根据所述检测信息发送预设信息，其中，所述预设信息，用于目标车辆的行车控制；所述目标车辆与所述预设道路区域满足预设条件。
在实现步骤二时，可以采用无线网络方式将所述预设信息通过服务器发送至与所述预设道路区域满足预设条件的车辆；也可以采用V2X(Vehicle to Everything/vehicle to X，车用无线通信技术)方式直接将所述预设信息发送至与所述预设道路区域满足预设条件的车辆。
其中，预设条件可以根据实际应用需要进行设定，示例性地，当某一个车辆的前进方向朝向所述预设道路区域，且该车辆的行驶位置与所述预设道路区域的距离在预设距离范围内时，则该车辆为与所述预设道路区域满足预设条件的车辆。
本实施例中，可以通过至少一种方式实现针对位于所述预设道路区域内的目标对象执行安全防护操作，这样车辆行车时，尤其是车辆在环岛或者岔路口处转弯行驶存在盲区时，能够对待通行所述预设道路区域的车辆进行行驶风险预警，从而能够降低目标对象在通过预设道路区域时发生交通事故的概率，保证了车辆的行车安全。
在一个实施例中，所述根据位于所述预设道路区域内的所述目标对象的信息，控制所述预设道路区域两侧和/或路面上的提示灯的发光，包括：
根据位于所述预设道路区域内的所述目标对象的信息，确定所述提示灯的发光颜色，其中，所述提示灯的不同发光颜色代表不同的危险程度和/或所述目标对象离开所述预设道路区域所需经历的路程长短。
所述目标对象的信息可以包括：所述目标对象的个数、移动速度、位置信息和/或运动轨迹信息。
其中，当所述目标对象的信息包括所述目标对象在所述预设道路区域的位置信息时，根据所述目标对象的位置信息，控制所述预设道路区域两侧和/或路面上的提示灯的发光颜色，可以包括：
当所述目标对象位于所述预设道路区域内的第一位置时，控制所述提示灯的发光颜色为第一颜色；当所述目标对象位于所述预设道路区域内的第二位置时，控制所述提示灯的发光颜色为第二颜色；当所述目标对象位于所述预设道路区域内的第三位置时，控制所述提示灯的发光颜色为第三颜色。
其中，所述预设道路区域可包含：第一子区域、第二子区域、第三子区域和第四子区域。所述第一子区域为所述目标对象等待通行的边缘子区域，所述第二子区域介于所述第一子区域与所述第三子区域之间，所述第三子区域与所述第四子区域相邻，所述第四子区域为所述目标对象完成通行的边缘子区域。
所述第一子区域在所述预设道路区域的占比为第一预设占比，所述第三子区域在所述预设道路区域的占比为第二预设占比。所述第一预设占比可以大于或等于所述第二预设占比，例如所述第一预设占比为2/3或1/2。
示例性地，所述第一位置位于所述第一子区域或所述第四子区域内，所述第一颜色为绿色。所述第二位置位于所述第三子区域，所述第二颜色为黄色。所述第三位置位于所述第二子区域，所述第三颜色为红色。
除了所述目标对象的位置信息可用于控制提示灯的发光颜色外，所述目标对象的个数、移动速度和/或运动轨迹信息也可用于控制提示灯的发光颜色。
例如，当所述目标对象的个数超过预设数量时，可以控制提示灯的发光颜色为红色，即表示所述目标对象与待行驶至所述预设道路区域的车辆发生碰撞的可能性大，危险程度高。
所述目标对象的移动速度可根据目标对象在所述预设道路区域的不同时刻所处的位置计算得到。当所述目标对象的移动速度大于预设速度时，可以控制提示灯的发光颜色为红色，即表示所述目标对象与待行驶至所述预设道路区域的车辆发生碰撞的可能性大，危险程度高。
所述目标对象的运动轨迹信息可以用于确定所述目标对象在所述预设道路区域内的已行路程、和/或预测所述目标对象通过所述预设道路区域的剩余时长和/或剩余路程。
例如，当所述目标对象通过所述预设道路区域的剩余时长超过预设时长，和/或当所述目标对象通过所述预设道路区域的剩余路程超过预设长度，可以控制提示灯的发光颜色为红色，即表示所述目标对象与待行驶至所述预设道路区域的车辆发生碰撞的可能性大，危险程度高。
又例如，当所述目标对象通过所述预设道路区域的剩余时长大于待行驶至所述预设道路区域的车辆驶入所述预设道路区域所需时长，且所述剩余路程位于车辆在所述预设道路区域的待驶入的车道内时，可以控制提示灯的发光颜色为红色，即表示所述目标对象与待行驶至所述预设道路区域的车辆发生碰撞的可能性大，危险程度高。
在一个实施例中，所述方法还包括步骤：
确定当前场景；
上述步骤S12中，所述根据所述检测信息，针对位于所述预设道路区域内的目标对象执行安全防护操作，包括：
当所述当前场景为环境亮度低于亮度阈值或者视距小于预定距离的目标场景时，根据所述检测信息，针对位于所述预设道路区域内的目标对象执行安全防护操作。
其中，预设道路区域的当前场景可以用于反映预设道路区域的当前时刻的光线环境。
预设道路区域的场景可以根据环境亮度划分为：预设道路区域的环境亮度低于亮度阈值的场景、预设道路区域的环境亮度高于或等于亮度阈值的场景。
其中，预设道路区域的环境亮度低于亮度阈值的场景包括但不限于：所述预设道路区域在夜间的环境亮度低于预设的亮度阈值的场景、所述预设道路区域处于阴雨雪等特殊天气下的场景。
所述目标场景可以为：所述预设道路区域在夜间的环境亮度低于预设的亮度阈值的场景。
当所述预测道路区域处于在夜间的环境亮度低于预设的亮度阈值的场景下，所述预设道路区域的环境亮度低于预设的亮度阈值。
其中，所述预设道路区域的环境亮度可以通过所述路侧设备的亮度传感器感测到。所述亮度阈值可以根据实际应用需要设定，此处不作具体限定。
可以理解的是，目标场景还可以是其他情况下的环境亮度高于或等于亮度阈值的场景。此处不作具体限定。
在一些实施例中，所述环境亮度可为日光亮度，若确定日光亮度低于亮度阈值，可确定当前场景为目标场景。
在另一些实施例中，所述环境亮度可为日光亮度和灯光亮度的总亮度，若确定日光亮度和灯光亮度的综合值低于亮度阈值，可确定当前场景为目标场景。
本公开实施例中，通过确定到所述当前场景为环境亮度低于亮度阈值的目标场景时，根据所述检测信息，针对位于所述预设道路区域内的目标对象执行安全防护操作，这样能够使得夜间行车的车辆在即将行驶至光线环境较差的预设道路区域时，可以针对预设道路区域内的目标对象及时作出反应，从而能够降低目标对象在通过预设道路区域时发生交通事故的概率，同时也保证了车辆的行车安全。
另外，预设道路区域的场景也可以根据视距划分为：视距小于预定距离的场景、视距大于或等于预定距离的场景。其中，所述预定距离可以根据实际需要进行设定，此处不作具体限定。
所述视距是指在车辆正常行驶中，驾驶员从正常驾驶位置能连续看到所述预设道路区域的路面 标线的最远距离。
所述目标场景可以为：视距小于预定距离的场景。
本实施例中，通过确定到所述当前场景为视距小于预定距离的目标场景时，根据所述检测信息，针对位于所述预设道路区域内的目标对象执行安全防护操作，这样能够使得驶向间距较近的所述预设道路区域的车辆，可以针对预设道路区域内的目标对象及时作出反应，从而能够降低目标对象在通过预设道路区域时发生交通事故的概率，同时也保证了车辆的行车安全。
在一个实施例中，所述确定当前场景，包括以下至少之一：
确定当前时刻是否位于所述目标场景对应的时段范围内；
若所述当前时刻位于所述目标场景对应的时段范围外，确定所述当前时刻的环境亮度且确定所述环境亮度是否低于所述亮度阈值。
这里，所述目标场景为：所述预设道路区域在夜间的环境亮度低于预设的亮度阈值的场景。
当所述预设道路区域所在道路在夜间未开启路灯或开启路灯的灯光亮度较低时，所述预设道路区域在夜间的环境亮度会低于预设亮度值。
所述目标场景对应的时段范围可以结合所述预设道路区域的实际情况进行设定，例如，该时间范围可以设定为夜间21:00至次日凌晨4:00的时间段，可以理解的是，只要是该时间范围时所述预设道路区域在夜间的环境亮度低于预设的亮度阈值的时间段即可，本公开实施例对此不作具体限定。
当确定当前时刻位于所述目标场景对应的时段范围内时，可以确定当前场景为所述目标场景。
可以理解的是，若所述预设道路区域在夜间的环境亮度高于或等于预设的亮度阈值，所述当前场景则不属于目标场景。
若所述当前时刻位于所述目标场景对应的时段范围外，且确定所述当前时刻的环境亮度低于所述亮度阈值时，则可以确定所述当前场景为：所述预设道路区域处于阴雨雪等特殊天气下的场景。
本实施例中，通过当所述当前场景为环境亮度低于亮度阈值的目标场景时，根据所述检测信息，针对位于所述预设道路区域内的目标对象执行安全防护操作，，这样在夜晚光线不足或阴雨天气或者有雾天气以及其他恶劣天气的场景下，能够有效降低由于预设道路区域处的光线较暗导致目标对象在通过预设道路区域时发生交通事故的概率。
在一个实施例中，所述根据所述检测信息发送预设信息，包括：
根据所述检测信息发送以下信息中至少一个：
所述检测信息；
根据所述检测信息确定的所述预设道路区域内的目标对象的信息，其中，所述目标对象的信息包括：所述目标对象的个数、移动速度、位置信息和/或运动轨迹信息。
其中，路侧设备发送所述预设信息时，可以将所述预设信息通过服务器发送至与所述预设道路区域满足预设条件的车，也可以通过V2X方式直接将所述预设信息发送至与所述预设道路区域满足预设条件的车辆，此处不作具体限定。
具体地，当所述检测信息表明所述预设道路区域内存在目标对象，可以将所述检测信息作为预 设信息进行发送，也可以根据检测信息确定所述预设道路区域内的目标对象个数、移动速度、位置信息和/或运动轨迹信息。
本实施例中，通过当预设道路区域的检测信息表明预设道路区域内存在目标对象，发送预设信息，由于预设信息包括检测信息和/或预设道路区域内的目标对象的信息，这样能够使得最终接收到该预设信息的车辆可以根据利用该预设信息来对目标对象执行安全防护操作，从而能够有效降低目标对象在通过预设道路区域时发生交通事故的概率。
图3是根据一示例性实施例示出的一种信息处理方法的流程示意图，所述信息处理方法可应用于图1所示的环境示意图中的服务器，如图3所示，所述方法可以包括以下步骤：
S22：接收路侧设备根据预设道路区域内的检测信息发送的预设信息；
S24：将所述预设信息发送至与所述预设道路区域满足预设条件的目标车辆；其中，所述预设信息，用于所述目标车辆的行车控制。
预设道路区域可以包括但不限于：任意行人和/或动物等活体与车辆共同可经过的区域，例如，交叉路口区域和斑马线区域，斑马线区域可包括：行人等待区以及位于所述行人等待区的斑马线。
其中，所述预设道路区域的检测信息可为各种对预设道路区域采集的任意信息，包括但不限于：图像信息、音频信息和/或雷达测量信息。
该检测信息可反映预设道路区域内的道路状态信息。该道路状况信息包括：路面状况信息和/或预设道路区域内的行人和/或车辆等经过状态信息。所述路面状况信息可用于反映预设道路区域的路面是否平整、路面是否存在障碍物、预设道路区域的类型、路面的防洪井盖是否扣合严实。所述行人和/或车辆等经过状态信息可反映预设道路区域内是否有行人和/或车辆、是否出现拥塞、目标对象所处的运动状态等。
所述预设道路区域的类型可以根据道路规划确定，例如，斑马线、单行线、环岛或者岔路口等。
示例性地，所述检测信息至少可以用于确定所述预设道路区域内是否存在目标对象。
所述目标对象可包括：需要进行安全防护的目标。该目标对象包括但不限于：行人和/或动物等生命体。
其中，预设条件可以根据实际应用需要进行设定，示例性地，当某一个车辆的前进方向朝向所述预设道路区域，且该车辆的行驶位置与所述预设道路区域的距离在预设距离范围内时，则该车辆为与所述预设道路区域满足预设条件的车辆。
在实现步骤S22时，服务器接收的所述预设信息，可以是路侧设备在根据预设道路区域的检测信息确定出预设道路区域内存在目标对象时，向所述服务器发送的。
在实现步骤S24时，服务器可以根据多个车辆上传的车辆信息，确定与所述预设道路区域满足预设条件的目标车辆，将所述预设信息发送至与所述预设道路区域满足预设条件的目标车辆。
其中，所述目标对象可包括行人或动物等活体对象。
本公开实施例提供一种信息处理方法，通过服务器接收路侧设备根据预设道路区域的检测信息发送的预设信息，并将所述预设信息发送至与所述预设道路区域满足预设条件的目标车辆，使得所 述目标车辆能够针对位于所述预设道路区域内的目标对象执行安全防护操作，这样在预设道路区域存在目标对象的情况下，利用预设道路区域的检测信息来对目标对象执行安全防护操作，能够降低目标对象在通过预设道路区域时发生交通事故的概率，减少预设道路区域内的安全隐患。
在一个实施例中，所述方法还包括：
确定行驶位置与所述预设道路区域之间的距离在预设距离范围内的至少一个候选车辆；
根据各个所述候选车辆的行驶信息，从至少一个所述候选车辆中确定所述目标车辆。
其中，预设距离范围可以根据实际应用需要进行设定，示例性地，预设距离范围设置为大于0且小于10米，此处不作具体限定。
这里，针对驶向所述预设道路区域的车辆，该车辆的行驶位置与所述预设道路区域之间的距离，是指该车辆行驶的当前位置与该车辆在驶入预设道路区域时需要最早经过的位置之间的距离。
其中，服务器可以实时获取到各个车辆的车辆信息，车辆信息可包括车辆定位信息和车辆行驶信息。车辆的车辆定位信息可以用于确定车辆当前的行驶位置。车辆的行驶信息可用于确定车辆的行车状态，其中，车辆的行驶信息可包括行驶方向信息、行驶速度等。
其中，所述目标车辆的个数可以是一个或多个。
其中，所述确定行驶位置与所述预设道路区域之间的距离在预设距离范围内的至少一个候选车辆，可以包括：
根据各个车辆上传的车辆定位信息，确定行驶位置与所述预设道路区域之间的距离在预设距离范围内的至少一个候选车辆。
其中，所述根据各个所述候选车辆的行驶信息，从至少一个所述候选车辆中确定所述目标车辆，可以包括：
根据各个所述候选车辆的行驶信息，确定驶向所述预设道路区域的候选车辆，将驶向所述预设道路区域的候选车辆确定为所述目标车辆。
由于车速较快或者车辆间距较近的原因，前方车辆会对后方车辆的视野及探测造成阻挡，当前方车辆即将通行斑马线时，尤其是前方车辆由于避让斑马线的行人而紧急刹车后，给后方车辆留出的反应时间会相当的短暂，这极容易造成后方车辆的追尾事故。本实施例中，通过确定行驶位置与所述预设道路区域之间的距离在预设距离范围内的至少一个候选车辆，并从至少一个所述候选车辆中确定所述目标车辆，这样使得即将通行斑马线的车辆和该车辆后方的车辆均可以作为目标车辆，，接收服务器发送的预设信息，并利用预设信息针对位于所述预设道路区域内的目标对象执行安全防护操作，从而能够使得后方的车辆的驾驶员有更多的反应时间，保证了驾驶安全。
在一个实施例中，所述预设信息包括以下至少之一：
所述检测信息；
根据所述检测信息确定的所述预设道路区域内的目标对象的信息，其中，所述目标对象的信息包括：所述目标对象的个数、移动速度、位置信息和/或运动轨迹信息。
本实施例中，由于预设信息包括预设道路区域的检测信息和/或预设道路区域内的目标对象的信 息，这样服务器可以将该预设信息发送至目标车辆，使得目标车辆可以根据利用预设道路区域的检测信息和/或预设道路区域内的目标对象的信息来对目标对象执行安全防护操作，从而能够有效降低目标对象在通过预设道路区域时发生交通事故的概率。
在一个实施例中，所述检测信息包括以下至少之一：
所述预设道路区域的视频信息；
所述预设道路区域的红外线感测信息；
所述预设道路区域的雷达感知信息。
图4是根据一示例性实施例示出的一种信息处理方法的流程示意图，所述信息处理方法可应用于图1所示的环境示意图中的车辆的车载终端，如图4所示，所述方法可以包括以下步骤：
S32：获取预设信息；其中，所述预设信息，用于所述车辆的行车控制；所述车辆与预设道路区域满足预设条件；
具体地，可以通过以下方式中的至少之一，实现车辆的车载终端获取预设信息的步骤：
方式一：接收服务器发送的预设信息。
车辆的车载终端可以从服务器获取预设信息，该预设信息可以是路侧设备根据预设道路区域的检测信息发送给服务器的预设信息，也可以是服务器根据路侧设备发送的预设道路区域的检测信息确定的预设信息。
方式二：接收路侧设备发送的预设信息。
车辆的车载终端可以直接接收路侧设备根据预设道路区域的检测信息发送的预设信息，例如，车辆的车载终端采用V2X方式接收路侧设备发送的预设信息。
方式三：采集所述预设道路区域的检测信息，并得到所述预设信息。
车辆的车载终端也可以通过车载终端所属车辆采集所述预设道路区域的检测信息，根据检测信息确定预设信息。
可以理解的是，上述这些示例只是对车载终端获取预设信息的举例，车载终端可以采用上述方式中的一种或多种方式获取预设信息，本公开实施例对此并不限定。
S34：根据所述预设信息，针对位于所述预设道路区域内的目标对象执行安全防护操作。
在实现步骤S34时，车辆的车载终端可以根据所述预设信息，向车辆的驾驶员发出预警信息，或控制所述车辆的行车状态，实现对位于所述预设道路区域内的目标对象执行安全防护操作。
本公开实施例提供一种信息处理方法，通过车辆的车载终端获取预设信息，由于预设信息用于该车辆的行车控制，且该车辆与预设道路区域满足预设条件，这样在预设道路区域内存在目标对象的情况下，利用预设信息来对位于预设道路区域内的目标对象执行安全防护操作，能够降低目标对象在通过预设道路区域时发生交通事故的概率，减少预设道路区域内的安全隐患。
接下来，针对车辆的车载终端与服务器和/或路侧设备的交互获取预设信息、车辆的车载终端通过根据车辆自身采集检测信息获取预设信息，分别对本公开实施例提供的信息处理方法进行说明。
图5是根据一示例性实施例示出的一种信息处理方法的流程示意图，所述信息处理方法可应用 于图1所示的环境示意图中的车辆的车载终端，如图5所示，所述方法可以包括以下步骤：
S42：车辆的车载终端接收服务器和/或路侧设备发送的预设信息；其中，所述预设信息，用于所述车辆的行车控制；所述车辆与预设道路区域满足预设条件；
S44：根据所述预设信息，针对位于所述预设道路区域内的目标对象执行安全防护操作。
在实现步骤S42时，从服务器和/或路侧设备接收预设信息的车载终端所属的车辆，与所述预设道路区域满足预设条件。其中，该预设条件可以根据实际应用需要进行设定，示例性地，当某一个车辆的前进方向朝向所述预设道路区域，且该车辆的行驶位置与所述预设道路区域的距离在预设距离范围内时，则该车辆为与所述预设道路区域满足预设条件的车辆。
其中，服务器发送的预设信息可以是路侧设备发送给服务器的预设信息，也可以是服务器根据路侧设备发送的所述预设道路区域的检测信息确定的信息，本公开实施例对此不作具体限定。
其中，路侧设备发送给服务器的预设信息可以是路侧设备根据预设道路区域的检测信息确定的预设信息。其中，路侧设备可以确定行驶位置与所述预设道路区域之间的距离在预设距离范围内的至少一个候选车辆，并根据各个所述候选车辆的行驶信息，从至少一个所述候选车辆中确定出与预设道路区域满足预设条件的车辆，进而将根据预设道路区域的检测信息确定的预设信息发送至该车辆的车载终端，以用于该车辆的行车控制。
在实现步骤S44时，车辆的车载终端可以根据所述预设信息，向车辆的驾驶员发出预警信息，或控制所述车辆的行车状态，实现对位于所述预设道路区域内的目标对象执行安全防护操作。
其中，所述目标对象可包括行人或动物等活体对象。
本公开实施例提供一种信息处理方法，通过车辆的车载终端接收服务器发送的预设信息，由于预设信息用于该车辆的行车控制，且该车辆与预设道路区域满足预设条件，这样在预设道路区域内存在目标对象的情况下，利用预设信息来对位于预设道路区域内的目标对象执行安全防护操作，能够降低目标对象在通过预设道路区域时发生交通事故的概率，减少预设道路区域内的安全隐患。
在一个实施例中，上述步骤S44中所述根据所述预设信息，针对位于所述预设道路区域内的目标对象执行安全防护操作，包括以下至少之一：
根据所述预设信息，显示行车提示；
根据所述预设信息，播放行车语音提示；
生成所述车辆的控制指令，其中，所述控制指令，用于通过控制所述车辆的行车状态，避让位于所述预设道路区域内的所述目标对象。
本实施例中，车辆的车载终端根据所述预设信息，可以通过弹窗的方式在车辆的显示屏上进行显示行车提示，或者通过播放行车语音提示的方式做出预警，提醒车辆的驾驶员减速行驶或刹车；此外，还可以通过生成所述车辆的控制指令来控制所述车辆的行车状态，避让位于所述预设道路区域内的所述目标对象，如此能够有效降低车辆行驶中存在的安全隐患，提高车辆行车的安全性。
在一个实施例中，所述生成所述车辆的控制指令，包括：
根据所述预设信息和所述车辆的行驶信息，生成所述车辆的控制指令。
其中，所述车辆的行驶信息可以通过所述车辆的各种传感器获得。其中，所述传感器包括：摄像头、雷达、激光传感器和超声波传感器中的至少一个。
其中，所述车辆的行驶信息可包括以下至少之一：包括车速、档位、方向盘角度、转向灯状态信息、驾驶员状态信息。其中，所述驾驶员状态信息包括驾驶员坐姿信息和驾驶员面部表情信息。
所述驾驶员坐姿信息可以反映驾驶员的坐姿是否正常，例如驾驶员在行车过程中是否有俯身行为或侧身行为等。驾驶员脸部状态信息可以反映驾驶员在行车过程中是否注意力不集中、疲劳、神情失落等。
其中，所述车辆的控制指令可以用于控制所述车辆的执行器(例如油门、刹车片等)的运行。
具体地，可以根据所述预设信息和所述车辆的行驶信息，预测所述车辆与所述预设道路区域内的目标对象是否发生碰撞的可能性；根据所述发生碰撞的可能性，生成所述车辆的控制指令。
其中，当所述发生碰撞的可能性较高时，生成所述车辆的停车指令；当所述发生碰撞的可能性较低时，生成所述车辆的减速指令。
举例来说，假设待行驶至斑马线的车辆的车速较快、或者所述车辆的驾驶员在行车过程中有俯身行为，若此时行人位于斑马线的中间位置，则可以确定车辆与行人发生碰撞的可能性较高。而待行驶至斑马线的车辆的车速较慢，若此时行人即将达到斑马线的终点位置，则可以确定车辆与行人发生碰撞的可能性较低。而待行驶至斑马线的车辆的车速较慢，若此时行人位于斑马线的行人等待区，则可以确定不存在车辆与行人发生碰撞的可能性。
在具体实现时，发生碰撞的可能性可以通过概率值进行量化。
示例性地，当发生碰撞的概率值大于预设值时，确定发生碰撞的可能性较高。当发生碰撞的概率值大于0且小于或等于预设值时，确定发生碰撞的可能性较低。当发生碰撞的概率值等于0时，确定不存在发生碰撞的可能性。其中，所述预设值可以根据实际应用需要进行设定。
可以理解的是，当不存在发生碰撞的可能性时，则不对车辆进行减速控制或停车控制，如此能够保证车内乘客的乘车舒适度，提高乘车体验。
本实施例中，通过根据所述预设信息和所述车辆的行驶信息，生成所述车辆的控制指令，在车辆在行车时存在盲区、行车的速度过快或者驾驶员注意力不集中等情况下，能够减少驾驶员不能及时根据行车提示进行行车控制(例如减速)而导致在预设道路区域(例如斑马线)冲撞行人的情况发生，从而有效降低车辆行驶中存在的安全隐患，提高车辆行车的安全性。
在一个实施例中，所述预设信息包括以下至少之一：
所述预设道路区域的检测信息；
根据所述检测信息确定的所述预设道路区域内的目标对象的信息，其中，所述目标对象的信息包括：所述目标对象的个数、移动速度、位置信息和/或运动轨迹信息。
本实施例中，由于预设信息包括预设道路区域的检测信息和/或预设道路区域内的目标对象的信息，这样车辆可以根据利用预设道路区域的检测信息和/或预设道路区域内的目标对象的信息来对目标对象执行安全防护操作，从而能够有效降低目标对象(例如行人)在通过斑马线时发生交通事故 的概率。
在一个实施例中，所述检测信息包括以下至少之一：
所述预设道路区域的视频信息；
所述预设道路区域的红外线感测信息；
所述预设道路区域的雷达感知信息。
图6是根据一示例性实施例示出的一种信息处理方法的流程示意图，所述信息处理方法可应用于图1所示的环境示意图中的车辆的车载终端，如图6所示，所述方法可以包括以下步骤：
S52：采集预设道路区域的检测信息；
S54：根据所述检测信息确定的预设信息，针对位于所述预设道路区域内的目标对象执行安全防护操作。
预设道路区域可以包括但不限于：任意行人和/或动物等活体与车辆共同可经过的区域，例如，交叉路口区域和斑马线区域，斑马线区域可包括：行人等待区以及位于所述行人等待区的斑马线。
其中，所述预设道路区域的检测信息可为各种对预设道路区域采集的任意信息，包括但不限于：图像信息、音频信息和/或雷达测量信息。
该检测信息可反映预设道路区域内的道路状态信息。该道路状况信息包括：路面状况信息和/或预设道路区域内的行人和/或车辆等经过状态信息。所述路面状况信息可用于反映预设道路区域的路面是否平整、路面是否存在障碍物、预设道路区域的类型、路面的防洪井盖是否扣合严实。所述行人和/或车辆等经过状态信息可反映预设道路区域内是否有行人和/或车辆、是否出现拥塞、目标对象位于的运动状态等。
所述预设道路区域的类型可以根据道路规划确定，例如，斑马线、单行线、环岛或者岔路口等。
示例性地，所述检测信息至少可以用于确定所述预设道路区域内是否存在目标对象。
所述目标对象可包括：需要进行安全防护的目标。该目标对象包括但不限于：行人和/或动物等生命体。
其中，车辆设置有用于感知所述预设道路区域的环境信息的传感器。所述车辆的车载终端可以对传感器感知的所述预设道路区域的环境信息进行检测，得到所述预设道路区域的检测信息。
所述传感器可以固定在所述车辆的前方、侧方或其他位置。
所述传感器可以包括视觉摄像头、红外摄像头、毫米波雷达和/或激光雷达(LiDAR)。
视觉摄像头可以实时拍摄所述预设道路区域所在范围内的画面。红外摄像头可以在夜视情况下捕捉物体。毫米波雷达可以用于利用电磁波的特性进行目标定位和跟踪。激光雷达可以通过检测物体边缘和形状信息进行物体识别和跟踪。
在实现步骤S52时，可以通过所述车辆上的一个或多个传感器采集所述预设道路区域的环境信息，对所述预设道路区域进行检测，得到所述预设道路区域的检测信息。
在实现步骤S54时，可以根据所述检测信息确定预设道路区域内是否存在目标对象，当确定存在目标对象时，根据所述检测信息确定的预设信息，针对位于所述预设道路区域内的目标对象执行 安全防护操作。其中，所述目标对象可包括行人或动物等活体对象。
本公开实施例提供一种信息处理方法，通过车辆的车载终端采集预设道路区域的检测信息，并根据检测信息确定的预设信息，针对位于所述预设道路区域内的目标对象执行安全防护操作，这样在预设道路区域内上存在目标对象的情况下，利用基于预设道路区域的检测信息确定的预设信息来对目标对象执行安全防护操作，能够降低目标对象在通过预设道路区域时发生交通事故的概率，减少预设道路区域内的安全隐患。
在一个实施例中，所述方法还包括：
确定当前场景；
上述步骤S52中所述根据所述检测信息确定的预设信息，针对位于所述预设道路区域内的目标对象执行安全防护操作，包括：
当所述当前场景为环境亮度低于亮度阈值或者视距小于预定距离的目标场景时，根据所述检测信息确定的预设信息，针对位于所述预设道路区域内的目标对象执行安全防护操作。
其中，所述当前场景可以用于确定是否根据所述检测信息确定的预设信息，针对位于所述预设道路区域内的目标对象执行安全防护操作。
其中，所述环境亮度可以通过所述车辆的传感器感测到。所述亮度阈值可以根据实际应用需要设定，此处不作具体限定。
其中，预设道路区域的当前场景可以用于反映预设道路区域的当前时刻的光线环境。
预设道路区域的场景可以根据环境亮度划分为：预设道路区域的环境亮度低于亮度阈值的场景、预设道路区域的环境亮度高于或等于亮度阈值的场景。
其中，预设道路区域的环境亮度低于亮度阈值的场景包括但不限于：所述预设道路区域在夜间的环境亮度低于预设的亮度阈值的场景、所述预设道路区域处于阴雨雪等特殊天气下的场景。
所述目标场景可以为：所述预设道路区域在夜间的环境亮度低于预设的亮度阈值的场景。
当所述预测道路区域处于在夜间的环境亮度低于预设的亮度阈值的场景下，所述预设道路区域的环境亮度低于预设的亮度阈值。
其中，所述预设道路区域的环境亮度可以通过所述路侧设备的亮度传感器感测到。所述亮度阈值可以根据实际应用需要设定，此处不作具体限定。
可以理解的是，目标场景还可以是其他情况下的环境亮度高于或等于亮度阈值的场景。此处不作具体限定。
在一些实施例中，所述环境亮度可为日光亮度，若确定日光亮度低于亮度阈值，可确定当前场景为目标场景。
在另一些实施例中，所述环境亮度可为日光亮度和灯光亮度的总亮度，若确定日光亮度和灯光亮度的综合值低于亮度阈值，可确定当前场景为目标场景。
本公开实施例中，通过确定到所述当前场景为环境亮度低于亮度阈值的目标场景时，根据所述检测信息确定的预设信息，针对位于所述预设道路区域内的目标对象执行安全防护操作，这样能够 使得夜间行车的车辆在即将行驶至光线环境较差的预设道路区域时，可以针对预设道路区域内的目标对象及时作出反应，从而能够降低目标对象在通过预设道路区域时发生交通事故的概率，同时也保证了车辆的行车安全。
另外，预设道路区域的场景也可以根据视距划分为：视距小于预定距离的场景、视距大于或等于预定距离的场景。其中，所述预定距离可以根据实际需要进行设定，此处不作具体限定。
所述视距是指在车辆正常行驶中，驾驶员从正常驾驶位置能连续看到所述预设道路区域的路面标线的最远距离。
所述目标场景可以为：视距小于预定距离的场景。
本实施例中，通过确定到所述当前场景为视距小于预定距离的目标场景时，根据所述检测信息，针对位于所述预设道路区域内的目标对象执行安全防护操作，这样能够使得驶向间距较近的所述预设道路区域的车辆，可以针对预设道路区域内的目标对象及时作出反应，从而能够降低目标对象在通过预设道路区域时发生交通事故的概率，同时也保证了车辆的行车安全。
在一个实施例中，所述确定当前场景，包括以下至少之一：
确定当前时刻是否位于所述目标场景对应的时段范围内；
若所述当前时刻位于所述目标场景对应的时段范围外，确定所述当前时刻的环境亮度且确定所述环境亮度是否低于所述亮度阈值。
这里，所述目标场景为：所述预设道路区域在夜间的环境亮度低于预设的亮度阈值的场景。
当所述预设道路区域所在道路在夜间未开启路灯或开启路灯的灯光亮度较低时，所述预设道路区域在夜间的环境亮度会低于预设亮度值。
所述目标场景对应的时段范围可以结合所述预设道路区域的实际情况进行设定，例如，该时间范围可以设定为夜间21:00至次日凌晨4:00的时间段，可以理解的是，只要是该时间范围时所述预设道路区域在夜间的环境亮度低于预设的亮度阈值的时间段即可，本公开实施例对此不作具体限定。
当确定当前时刻位于所述目标场景对应的时段范围内时，可以确定当前场景为所述目标场景。
可以理解的是，若所述预设道路区域在夜间的环境亮度高于或等于预设的亮度阈值，所述当前场景则不属于目标场景。
若所述当前时刻位于所述目标场景对应的时段范围外，且确定所述当前时刻的环境亮度低于所述亮度阈值时，则可以确定所述当前场景为：所述预设道路区域处于阴雨雪等特殊天气下的场景。
本实施例中，通过当所述当前场景为环境亮度低于亮度阈值的目标场景时，根据所述检测信息确定的预设信息，针对位于所述预设道路区域内的目标对象执行安全防护操作，，这样在夜晚光线不足或阴雨天气或者有雾天气以及其他恶劣天气的场景下，能够有效降低由于预设道路区域处的光线较暗导致目标对象在通过预设道路区域时发生交通事故的概率。
在一个实施例中，所述预设信息包括以下至少之一：
所述检测信息；
根据所述检测信息确定的所述预设道路区域内的目标对象的信息，其中，所述目标对象的信息 包括：所述目标对象的个数、移动速度、位置信息和/或运动轨迹信息。
本实施例中，由于预设信息包括预设道路区域的检测信息和/或预设道路区域内的目标对象的信息，这样车辆可以根据利用预设道路区域的检测信息和/或预设道路区域内的目标对象的信息来对目标对象执行安全防护操作，从而能够有效降低目标对象在通过预设道路区域时发生交通事故的概率。
在一个实施例中，所述检测信息包括以下至少之一：
所述预设道路区域的视频信息；
所述预设道路区域的红外线感测信息；
所述预设道路区域的雷达感知信息。
在一个实施例中，上述步骤S44中所述根据所述检测信息确定的预设信息，针对位于所述预设道路区域内的目标对象执行安全防护操作，包括以下至少之一：
根据所述预设信息，显示行车提示；
根据所述预设信息，播放行车语音提示；
生成所述车辆的控制指令，其中，所述控制指令，用于通过控制所述车辆的行车状态，避让位于所述预设道路区域内的所述目标对象。
在一个实施例中，所述生成所述车辆的控制指令，包括：
根据所述预设信息和所述车辆的行驶信息，生成所述车辆的控制指令。
其中，所述车辆的行驶信息可以通过所述车辆的各种传感器获得。其中，所述传感器包括：摄像头、雷达、激光传感器和超声波传感器中的至少一个。
其中，所述车辆的行驶信息可包括以下至少之一：包括车速、档位、方向盘角度、转向灯状态信息、驾驶员状态信息。其中，所述驾驶员状态信息包括驾驶员坐姿信息和驾驶员面部表情信息。
所述驾驶员坐姿信息可以反映驾驶员的坐姿是否正常，例如驾驶员在行车过程中是否有俯身行为或侧身行为等。驾驶员脸部状态信息可以反映驾驶员在行车过程中是否注意力不集中、疲劳、神情失落等。
其中，所述车辆的控制指令可以用于控制所述车辆的执行器(例如油门、刹车片等)的运行。
具体地，可以根据所述预设信息和所述车辆的行驶信息，预测所述车辆与所述预设道路区域内的目标对象是否发生碰撞的可能性；根据所述发生碰撞的可能性，生成所述车辆的控制指令。
其中，当所述发生碰撞的可能性较高时，生成所述车辆的停车指令；当所述发生碰撞的可能性较低时，生成所述车辆的减速指令。
举例来说，假设待行驶至斑马线的车辆的车速较快、或者所述车辆的驾驶员在行车过程中有俯身行为，若此时行人位于斑马线的中间位置，则可以确定车辆与行人发生碰撞的可能性较高。而待行驶至斑马线的车辆的车速较慢，若此时行人即将达到斑马线的终点位置，则可以确定车辆与行人发生碰撞的可能性较低。而待行驶至斑马线的车辆的车速较慢，若此时行人位于斑马线的行人等待区，则可以确定不存在车辆与行人发生碰撞的可能性。
在具体实现时，发生碰撞的可能性可以通过概率值进行量化。
示例性地，当发生碰撞的概率值大于预设值时，确定发生碰撞的可能性较高。当发生碰撞的概率值大于0且小于或等于预设值时，确定发生碰撞的可能性较低。当发生碰撞的概率值等于0时，确定不存在发生碰撞的可能性。其中，所述预设值可以根据实际应用需要进行设定。
可以理解的是，当不存在发生碰撞的可能性时，则不对车辆进行减速控制或停车控制，如此能够保证车内乘客的乘车舒适度，提高乘车体验。
本实施例中，通过根据所述预设信息和所述车辆的行驶信息，生成所述车辆的控制指令，在车辆在行车时存在盲区、行车的速度过快或者驾驶员注意力不集中等情况下，能够减少驾驶员不能及时根据行车提示进行行车控制(例如减速)而导致在预设道路区域(例如斑马线)冲撞行人的情况发生，从而有效降低车辆行驶中存在的安全隐患，提高车辆行车的安全性。
下面通过具体实施例来进一步说明本公开提供的信息处理方法。
以夜间行车的场景为例，通常驾驶者在转弯通过斑马线时由于光线不足，且存在盲区，导致驾驶存在一定的安全隐患。为此本公开实施例提供一种信息处理方法，能够降低车辆行驶中存在的安全隐患，提高车辆行车的安全性。
在一个可能的实现方式中，将一套能够检测行人是否位于斑马线以及行人在斑马线所处位置的斑马线行人检测系统(可包括上述实施例中的路侧设备)设置在斑马线等待区(例如，设置在斑马线等待区的红绿灯杆上)，该斑马线行人检测系统可以包括摄像头、运行行人检测算法的处理器、中央处理器、提示灯等硬件系统，以及行人检测算法等软件系统。斑马线行人检测系统中的摄像头的视场角(Field of View，FoV)会覆盖整个斑马线，以便检测是否有行人在斑马线上。
通过斑马线行人检测系统检测车辆即将通行的斑马线上是否有行人以及行人在所述斑马线上的位置信息，得到检测信息，将检测信息通过路面提示灯反馈给即将通行的车辆。
如果无行人在斑马线上，则提示灯为绿色，车辆可正常通行。如果有行人在斑马线上，且行人位置位于斑马线前1/3部分，则提示灯为黄色。如果有行人在斑马线上，且行人位置位于斑马线的后2/3，则提示灯为红色，车辆需停止通行，在提示灯处等待，待行人通过斑马线后再通行。
在另一个可能的实现方式中，上述斑马线行人检测系统检测车辆即将通行的斑马线上是否有行人以及行人在所述斑马线上的位置信息，得到检测信息，可以将检测信息通过云服务器转发给即将通行的车辆。该车辆的车载终端根据检测信息作出有行人通行和无行人通行的语音提示，并将提示信息在车机的显示屏上进行显示。
在又一个可能的实现方式中，通过车辆的前视及侧视摄像头检测该车辆待通行的斑马线上是否有行人通行以及行人在斑马线上的位置信息，得到检测信息，根据检测信息，作出有行人通行和无行人通行的语音提示，并将提示信息在车机的显示屏上进行显示。
下述为本公开装置实施例，可以用于执行本公开方法实施例。对于本公开装置实施例中未披露的细节，请参照本公开的相应方法实施例。
图7是根据本公开一示例性实施例示出的应用于路侧设备的信息处理装置的结构示意图。该信息处理装置可以应用于图1所示实施环境中的路侧设备。
如图7所示，该信息处理装置可以包括：
第一采集模块102，用于采集预设道路区域的检测信息；
第一处理模块104，用于根据所述检测信息，针对位于所述预设道路区域内的目标对象执行安全防护操作。
在一个实施例中，所述第一处理模块104用于执行以下至少之一：
根据位于所述预设道路区域内的所述目标对象的信息，控制所述预设道路区域两侧和/或路面上的提示灯的发光；
根据所述检测信息发送预设信息，其中，所述预设信息，用于目标车辆的行车控制；所述目标车辆与所述预设道路区域满足预设条件。
在一个实施例中，所述检测信息包括以下至少之一：
所述预设道路区域的视频信息；
所述预设道路区域的红外线感测信息；
所述预设道路区域的雷达感知信息。
在一个实施例中，所述第一处理模块104具体用于执行：
根据所述目标对象位于所述预设道路区域内的位置，确定所述提示灯的发光颜色，其中，所述提示灯的不同发光颜色代表不同的危险程度和/或所述目标对象离开所述预设道路区域所需经历的路程长短。
在一个实施例中，所述装置还包括：
第一确定模块，用于确定当前场景；
所述第一采集模块102具体用于：
当所述当前场景为环境亮度低于亮度阈值或者视距小于预定距离的目标场景时，根据所述检测信息，针对位于所述预设道路区域内的目标对象执行安全防护操作。
在一个实施例中，所述第一确定模块用于执行以下至少之一：
确定当前时刻是否位于所述目标场景对应的时段范围内；
若所述当前时刻位于所述目标场景对应的时段范围外，确定所述当前时刻的环境亮度且确定所述环境亮度是否低于所述亮度阈值。
在一个实施例中，所述第一处理模块104具体用于：
根据所述检测信息发送以下信息中至少一个：
所述检测信息；
根据所述检测信息确定的所述预设道路区域内的目标对象的信息，其中，所述目标对象的信息包括：所述目标对象的个数、移动速度、位置信息和/或运动轨迹信息。
图8是根据本公开一示例性实施例示出的应用于服务器的信息处理装置的结构示意图。该信息处理装置可以应用于图1所示实施环境中的服务器，以执行图3所示实施例中的信息处理方法的步骤。
如图8所示，该信息处理装置可以包括：
第一接收模块202，用于接收路侧设备根据预设道路区域内的检测信息发送的预设信息；
发送模块204，用于将所述预设信息发送至与所述预设道路区域满足预设条件的目标车辆；其中，所述预设信息，用于所述目标车辆的行车控制。
在一个实施例中，所述装置还包括第二确定模块，所述第二确定模块具体用于：
确定行驶位置与所述预设道路区域之间的距离在预设距离范围内的至少一个候选车辆；
根据各个所述候选车辆的行驶信息，从至少一个所述候选车辆中确定所述目标车辆。
在一个实施例中，所述预设信息包括以下至少之一：
所述检测信息；
根据所述检测信息确定的所述预设道路区域内的目标对象的信息，其中，所述目标对象的信息包括：所述目标对象的个数、移动速度、位置信息和/或运动轨迹信息。
在一个实施例中，所述检测信息包括以下至少之一：
所述预设道路区域的视频信息；
所述预设道路区域的红外线感测信息；
所述预设道路区域的雷达感知信息。
图9是根据本公开一示例性实施例示出的应用于车载终端的信息处理装置的结构示意图。该信息处理装置可以应用于图1所示实施环境中的车辆的车载终端，以执行图4所示实施例中的信息处理方法的步骤。
如图9所示，该信息处理装置可以包括：
获取模块302，用于获取预设信息；其中，所述预设信息，用于所述车辆的行车控制；所述车辆与预设道路区域满足预设条件；
第二处理模块304，用于根据所述预设信息，针对位于所述预设道路区域内的目标对象执行安全防护操作。
在一个实施例中，所述获取模块302用于执行以下至少之一：
接收服务器发送的预设信息；
和/或，
接收路侧设备发送的预设信息；
和/或，
采集所述预设道路区域的检测信息，并得到所述预设信息。
图10是根据本公开一示例性实施例示出的应用于车载终端的信息处理装置的结构示意图。该信息处理装置可以应用于图1所示实施环境中的车辆的车载终端。
如图10所示，该信息处理装置可以包括：
第二接收模块402，用于接收服务器和/或路侧设备发送的预设信息；其中，所述预设信息，用于所述车辆的行车控制；所述车辆与预设道路区域满足预设条件；
第二处理模块304，用于根据所述预设信息，针对位于所述预设道路区域内的目标对象执行安全防护操作。
在一个实施例中，所述第二处理模块304用于执行以下至少之一：
根据所述预设信息，显示行车提示；
根据所述预设信息，播放行车语音提示；
生成所述车辆的控制指令，其中，所述控制指令，用于通过控制所述车辆的行车状态，避让位于所述预设道路区域内的所述目标对象。
在一个实施例中，所述第二处理模块304具体用于：
根据所述预设信息和所述车辆的行驶信息，生成所述车辆的控制指令。
在一个实施例中，所述预设信息包括以下至少之一：
所述检测信息；
根据所述检测信息确定的所述预设道路区域内的目标对象的信息，其中，所述目标对象的信息包括：所述目标对象的个数、移动速度、位置信息和/或运动轨迹信息。
在一个实施例中，所述检测信息包括以下至少之一：
所述预设道路区域的视频信息；
所述预设道路区域的红外线感测信息；
所述预设道路区域的雷达感知信息。
图11是根据本公开一示例性实施例示出的应用于路侧设备的信息处理装置的结构示意图。该信息处理装置可以应用于图1所示实施环境中的车辆的车载终端。
如图11所示，该信息处理装置可以包括：
第二采集模块502，用于采集预设道路区域的检测信息；
第二处理模块304，用于根据所述检测信息确定的预设信息，针对位于所述预设道路区域内的目标对象执行安全防护操作。
在一个实施例中，所述装置还包括：
第三确定模块，用于确定当前场景；
所述第二处理模块304具体用于：
当所述当前场景为环境亮度低于亮度阈值或者视距小于预定距离的目标场景时，根据所述检测信息确定的预设信息，针对位于所述预设道路区域内的目标对象执行安全防护操作。
在一个实施例中，所述第三确定模块用于执行以下至少之一：
确定当前时刻是否位于所述目标场景对应的时段范围内；
若所述当前时刻位于所述目标场景对应的时段范围外，确定所述当前时刻的环境亮度且确定所述环境亮度是否低于所述亮度阈值。
在一个实施例中，所述第三确定模块具体用于：
当所述检测信息表明所述预设道路区域内存在所述目标对象时，根据所述检测信息确定预设信 息；
根据所述预设信息，针对位于所述预设道路区域内的目标对象执行安全防护操作。
在一个实施例中，所述预设信息包括以下至少之一：
所述检测信息；
根据所述检测信息确定的所述预设道路区域内的目标对象的信息，其中，所述目标对象的信息包括：所述目标对象的个数、移动速度、位置信息和/或运动轨迹信息。
在一个实施例中，所述检测信息包括以下至少之一：
所述预设道路区域的视频信息；
所述预设道路区域的红外线感测信息；
所述预设道路区域的雷达感知信息。
在一个实施例中，所述第二处理模块304用于执行以下至少之一：
根据所述预设信息，显示行车提示；
根据所述预设信息，播放行车语音提示；
生成所述车辆的控制指令，其中，所述控制指令，用于通过控制所述车辆的行车状态，避让位于所述预设道路区域内的所述目标对象。
在一个实施例中，所述第二处理模块304具体用于：
根据所述预设信息和所述车辆的行驶信息，生成所述车辆的控制指令。
关于上述实施例中的信息处理装置，其中各个模块执行操作的具体方式已经在有关信息处理方法的实施例中进行了详细描述，此处将不做详细阐述说明。
本公开实施例提供一种电子设备，包括：
处理器；
用于存储处理器可执行指令的存储器；
其中，所述处理器被配置为：执行所述可执行指令时，实现前述任意技术方案提供的信息处理方法。
处理器可包括各种类型的存储介质，该存储介质为非临时性计算机存储介质，在电子设备掉电之后能够继续记忆存储其上的信息。
所述处理器可以通过总线等与存储器连接，用于读取存储器上存储的可执行程序，例如，如前述实施例应用于路侧设备的信息处理方法，或者如前述实施例应用于车载终端的信息处理方法。
图12是根据一示例性实施例示出的一种电子设备的框图。
参照图12，电子设备800可以包括以下一个或多个组件：处理组件802，存储器804，电源组件806，多媒体组件808，音频组件810，输入/输出(I/O)的接口812，传感器组件814，以及通信组件816。
处理组件802通常控制电子设备800的整体操作，诸如与显示，电话呼叫，数据通信，相机操作和记录操作相关联的操作。处理组件802可以包括一个或多个处理器820来执行指令，以生成上 述的方法的全部或部分步骤。此外，处理组件802可以包括一个或多个模块，便于处理组件802和其他组件之间的交互。例如，处理组件802可以包括多媒体模块，以方便多媒体组件808和处理组件802之间的交互。
存储器804被配置为存储各种类型的数据以支持在电子设备800的操作。这些数据的示例包括用于在电子设备800上操作的任何应用程序或方法的指令，联系人数据，电话簿数据，消息，图片，视频等。存储器804可以由任何类型的易失性或非易失性存储设备或者它们的组合实现，如静态随机存取存储器(SRAM)，电可擦除可编程只读存储器(EEPROM)，可擦除可编程只读存储器(EPROM)，可编程只读存储器(PROM)，只读存储器(ROM)，磁存储器，快闪存储器，磁盘或光盘。
电源组件806为电子设备800的各种组件提供电力。电源组件806可以包括电源管理系统，一个或多个电源，及其他与为电子设备800生成、管理和分配电力相关联的组件。
多媒体组件808包括在所述电子设备800和用户之间的提供一个输出接口的屏幕。在一些实施例中，屏幕可以包括液晶显示器(LCD)和触摸面板(TP)。如果屏幕包括触摸面板，屏幕可以被实现为触摸屏，以接收来自用户的输入信号。触摸面板包括一个或多个触摸传感器以感测触摸、滑动和触摸面板上的手势。所述触摸传感器可以不仅感测触摸或滑动动作的边界，而且还检测与所述触摸或滑动操作相关的持续时间和压力。在一些实施例中，多媒体组件808包括一个前置摄像头和/或后置摄像头。当电子设备800处于操作模式，如拍摄模式或视频模式时，前置摄像头和/或后置摄像头可以接收外部的多媒体数据。每个前置摄像头和后置摄像头可以是一个固定的光学透镜系统或具有焦距和光学变焦能力。
音频组件810被配置为输出和/或输入音频信号。例如，音频组件810包括一个麦克风(MIC)，当电子设备800处于操作模式，如呼叫模式、记录模式和语音识别模式时，麦克风被配置为接收外部音频信号。所接收的音频信号可以被进一步存储在存储器804或经由通信组件816发送。在一些实施例中，音频组件810还包括一个扬声器，用于输出音频信号。
I/O接口812为处理组件802和外围接口模块之间提供接口，上述外围接口模块可以是键盘，点击轮，按钮等。这些按钮可包括但不限于：主页按钮、音量按钮、启动按钮和锁定按钮。
传感器组件814包括一个或多个传感器，用于为电子设备800提供各个方面的状态评估。例如，传感器组件814可以检测到设备800的打开/关闭状态，组件的相对定位，例如所述组件为电子设备800的显示器和小键盘，传感器组件814还可以检测电子设备800或电子设备800一个组件的位置改变，用户与电子设备800接触的存在或不存在，电子设备800方位或加速/减速和电子设备800的温度变化。传感器组件814可以包括接近传感器，被配置用来在没有任何的物理接触时检测附近物体的存在。传感器组件814还可以包括光传感器，如CMOS或CCD图像传感器，用于在成像应用中使用。在一些实施例中，该传感器组件814还可以包括加速度传感器，陀螺仪传感器，磁传感器，压力传感器或温度传感器。
通信组件816被配置为便于电子设备800和其他设备之间有线或无线方式的通信。电子设备800 可以接入基于通信标准的无线网络，如WiFi，2G或3G，或它们的组合。在一个示例性实施例中，通信组件816经由广播信道接收来自外部广播管理系统的广播信号或广播相关信息。在一个示例性实施例中，所述通信组件816还包括近场通信(NFC)模块，以促进短程通信。例如，在NFC模块可基于射频识别(RFID)技术，红外数据协会(IrDA)技术，超宽带(UWB)技术，蓝牙(BT)技术和其他技术来实现。
在示例性实施例中，电子设备800可以被一个或多个应用专用集成电路(ASIC)、数字信号处理器(DSP)、数字信号处理设备(DSPD)、可编程逻辑器件(PLD)、现场可编程门阵列(FPGA)、控制器、微控制器、微处理器或其他电子元件实现，用于执行上述路侧设备侧的信息处理方法或者上述车辆的车载终端侧的信息处理方法。
在示例性实施例中，还提供了一种包括指令的非临时性计算机可读存储介质，例如包括指令的存储器804，上述指令可由电子设备800的处理器820执行以生成上述方法。例如，所述非临时性计算机可读存储介质可以是ROM、随机存取存储器(RAM)、CD-ROM、磁带、软盘和光数据存储设备等。
如图13所示，本公开一实施例示出一种服务器的结构。参照图13，服务器900包括处理组件922，其进一步包括一个或多个处理器，以及由存储器932所代表的存储器资源，用于存储可由处理组件922的执行的指令，例如应用程序。存储器932中存储的应用程序可以包括一个或一个以上的每一个对应于一组指令的模块。此外，处理组件922被配置为执行指令，以执行上述方法前述应用在所述服务器的信息处理方法。
服务器900还可以包括一个电源组件926被配置为执行服务器900的电源管理，一个有线或无线网络接口950被配置为将服务器900连接到网络，和一个输入输出(I/O)接口958。服务器900可以操作基于存储在存储器932的操作系统，例如Windows Server TM，Mac OS XTM，UnixTM，LinuxTM，FreeBSDTM或类似。
本领域技术人员在考虑说明书及实践这里公开的发明后，将容易想到本发明的其它实施方案。本公开旨在涵盖本发明的任何变型、用途或者适应性变化，这些变型、用途或者适应性变化遵循本发明的一般性原理并包括本公开未公开的本技术领域中的公知常识或惯用技术手段。说明书和实施例仅被视为示例性的，本发明的真正范围和精神由下面的权利要求指出。
应当理解的是，本发明并不局限于上面已经描述并在附图中示出的精确结构，并且可以在不脱离其范围进行各种修改和改变。本发明的范围仅由所附的权利要求来限制。

Claims (25)

  1. 一种信息处理方法，其中，应用于路侧设备，所述方法包括：
    采集预设道路区域的检测信息；
    根据所述检测信息，针对位于所述预设道路区域内的目标对象执行安全防护操作。
  2. 根据权利要求1所述的方法，其中，所述针对位于所述预设道路区域内的目标对象执行安全防护操作，包括以下至少之一：
    根据位于所述预设道路区域内的所述目标对象的信息，控制所述预设道路区域两侧和/或路面上的提示灯的发光；
    根据所述检测信息发送预设信息，其中，所述预设信息，用于目标车辆的行车控制；所述目标车辆与所述预设道路区域满足预设条件。
  3. 根据权利要求1或2所述的方法，其中，所述检测信息包括以下至少之一：
    所述预设道路区域的视频信息；
    所述预设道路区域的红外线感测信息；
    所述预设道路区域的雷达感知信息。
  4. 根据权利要求2所述的方法，其中，所述根据位于所述预设道路区域内的所述目标对象的信息，控制所述目标对象的运动轨迹两侧的提示灯，包括：
    根据位于所述预设道路区域内的所述目标对象的信息，确定所述提示灯的发光颜色，其中，所述提示灯的不同发光颜色代表不同的危险程度和/或所述目标对象离开所述预设道路区域所需经历的路程长短。
  5. 根据权利要求1所述的方法，其中，所述方法还包括：
    确定当前场景；
    所述根据所述检测信息，针对位于所述预设道路区域内的目标对象执行安全防护操作，包括：
    当所述当前场景为环境亮度低于亮度阈值或者视距小于预定距离的目标场景时，根据所述检测信息，针对位于所述预设道路区域内的目标对象执行安全防护操作。
  6. 根据权利要求5所述的方法，其中，所述确定当前场景，包括以下至少之一：
    确定当前时刻是否位于所述目标场景对应的时段范围内；
    若所述当前时刻位于所述目标场景对应的时段范围外，确定所述当前时刻的环境亮度且确定所述环境亮度是否低于所述亮度阈值。
  7. 根据权利要求2所述的方法，其中，所述根据所述检测信息发送预设信息，包括：
    根据所述检测信息发送以下信息中至少一个：
    所述检测信息；
    根据所述检测信息确定的所述预设道路区域内的目标对象的信息，其中，所述目标对象的信息包括：所述目标对象的个数、移动速度、位置信息和/或运动轨迹信息。
  8. 一种信息处理方法，其中，应用于服务器，所述方法包括：
    接收路侧设备根据预设道路区域内的检测信息发送的预设信息；
    将所述预设信息发送至与所述预设道路区域满足预设条件的目标车辆；其中，所述预设信息，用于所述目标车辆的行车控制。
  9. 根据权利要求8所述的方法，其中，所述方法还包括：
    确定行驶位置与所述预设道路区域之间的距离在预设距离范围内的至少一个候选车辆；
    根据各个所述候选车辆的行驶信息，从至少一个所述候选车辆中确定所述目标车辆。
  10. 根据权利要求8或9所述的方法，其中，所述预设信息包括以下至少之一：
    所述检测信息；
    根据所述检测信息确定的所述预设道路区域内的目标对象的信息，其中，所述目标对象的信息包括：所述目标对象的个数、移动速度、位置信息和/或运动轨迹信息。
  11. 根据权利要求8至10任一项所述的方法，其中，所述检测信息包括以下至少之一：
    所述预设道路区域的视频信息；
    所述预设道路区域的红外线感测信息；
    所述预设道路区域的雷达感知信息。
  12. 一种信息处理方法，其中，应用于车辆的车载终端，所述方法包括：
    获取预设信息；其中，所述预设信息，用于所述车辆的行车控制；所述车辆与预设道路区域满足预设条件；
    根据所述预设信息，针对位于所述预设道路区域内的目标对象执行安全防护操作。
  13. 根据权利要求12所述的方法，其中，所述根据所述预设信息，针对位于所述预设道路区域内的目标对象执行安全防护操作，包括以下至少之一：
    根据所述预设信息，显示行车提示；
    根据所述预设信息，播放行车语音提示；
    生成所述车辆的控制指令，其中，所述控制指令，用于通过控制所述车辆的行车状态，避让位于所述预设道路区域内的所述目标对象。
  14. 根据权利要求13所述的方法，其中，所述生成所述车辆的控制指令，包括：
    根据所述预设信息和所述车辆的行驶信息，生成所述车辆的控制指令。
  15. 根据权利要求12至14任一项所述的方法，其中，所述预设信息包括以下至少之一：
    所述预设道路区域的检测信息；
    根据所述检测信息确定的所述预设道路区域内的目标对象的信息，其中，所述目标对象的信息包括：所述目标对象的个数、移动速度、位置信息和/或运动轨迹信息。
  16. 根据权利要求15所述的方法，其中，所述检测信息包括以下至少之一：
    所述预设道路区域的视频信息；
    所述预设道路区域的红外线感测信息；
    所述预设道路区域的雷达感知信息。
  17. 根据权利要求12至16任一项所述的方法，其中，所述获取预设信息，包括：
    接收服务器发送的预设信息；
    和/或，
    接收路侧设备发送的预设信息；
    和/或，
    采集所述预设道路区域的检测信息，并得到所述预设信息。
  18. 根据权利要求12至17任一项所述的方法，其中，所述方法还包括：
    确定当前场景；
    所述根据所述预设信息，针对位于所述预设道路区域内的目标对象执行安全防护操作，包括：
    当所述当前场景为环境亮度低于亮度阈值或者视距小于预定距离的目标场景时，根据所述预设信息，针对位于所述预设道路区域内的目标对象执行安全防护操作。
  19. 根据权利要求18所述的方法，其中，所述确定当前场景，包括以下至少之一：
    确定当前时刻是否位于所述目标场景对应的时段范围内；
    若所述当前时刻位于所述目标场景对应的时段范围外，确定所述当前时刻的环境亮度且确定所述环境亮度是否低于所述亮度阈值。
  20. 一种信息处理装置，其中，应用于路侧设备，所述装置包括：
    第一采集模块，用于采集预设道路区域的检测信息；
    第一处理模块，用于根据所述检测信息，针对位于所述预设道路区域内的目标对象执行安全防护操作。
  21. 一种信息处理装置，其中，应用于服务器，所述装置包括：
    第一接收模块，用于接收路侧设备根据预设道路区域内的检测信息发送的预设信息；
    发送模块，用于将所述预设信息发送至与所述预设道路区域满足预设条件的目标车辆；其中，所述预设信息，用于所述目标车辆的行车控制。
  22. 一种信息处理装置，其中，应用于车辆的车载终端，所述装置包括：
    获取模块，用于获取预设信息；其中，所述预设信息，用于所述车辆的行车控制；所述车辆与预设道路区域满足预设条件；
    第二处理模块，用于根据所述预设信息，针对位于所述预设道路区域内的目标对象执行安全防护操作。
  23. 一种电子设备，其中，包括：
    处理器；
    用于存储处理器可执行指令的存储器；
    其中，所述处理器被配置为：执行所述可执行指令时，实现如权利要求1至7、12至19任一项所述信息处理方法中的步骤。
  24. 一种服务器，其中，包括：
    处理器；
    用于存储处理器可执行指令的存储器；
    其中，所述处理器被配置为：执行所述可执行指令时，实现如权利要求8至11任一项所述信息处理方法中的步骤。
  25. 一种计算机存储介质，所述计算机存储介质存储有可执行程序；所述可执行程序被处理器执行后，能够实现如权利要求1至19任一项所述信息处理方法中的步骤。
PCT/CN2022/094214 2022-05-20 2022-05-20 信息处理方法及装置、电子设备及存储介质 WO2023221118A1 (zh)

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