WO2018036086A1 - Procédé et appareil de surveillance d'un véhicule - Google Patents

Procédé et appareil de surveillance d'un véhicule Download PDF

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Publication number
WO2018036086A1
WO2018036086A1 PCT/CN2017/070484 CN2017070484W WO2018036086A1 WO 2018036086 A1 WO2018036086 A1 WO 2018036086A1 CN 2017070484 W CN2017070484 W CN 2017070484W WO 2018036086 A1 WO2018036086 A1 WO 2018036086A1
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WO
WIPO (PCT)
Prior art keywords
vehicle
driving state
dangerous driving
lane
obstacle object
Prior art date
Application number
PCT/CN2017/070484
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English (en)
Chinese (zh)
Inventor
刘均
宋朝忠
欧阳张鹏
Original Assignee
深圳市元征科技股份有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
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Application filed by 深圳市元征科技股份有限公司 filed Critical 深圳市元征科技股份有限公司
Publication of WO2018036086A1 publication Critical patent/WO2018036086A1/fr

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Classifications

    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W30/00—Purposes of road vehicle drive control systems not related to the control of a particular sub-unit, e.g. of systems using conjoint control of vehicle sub-units
    • B60W30/08—Active safety systems predicting or avoiding probable or impending collision or attempting to minimise its consequences
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/16—Anti-collision systems
    • G08G1/165—Anti-collision systems for passive traffic, e.g. including static obstacles, trees
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W30/00—Purposes of road vehicle drive control systems not related to the control of a particular sub-unit, e.g. of systems using conjoint control of vehicle sub-units
    • B60W30/10—Path keeping
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/16—Anti-collision systems
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/16—Anti-collision systems
    • G08G1/167—Driving aids for lane monitoring, lane changing, e.g. blind spot detection

Definitions

  • the present invention relates to the field of automotive technology, and in particular, to a vehicle monitoring method and apparatus.
  • the main object of the present invention is to provide a vehicle monitoring method and apparatus, which aims to solve the technical problem that the safety of driving a vehicle in the prior art is not high.
  • a vehicle monitoring method provided by the present invention includes:
  • the camera Calling the camera to capture a road condition image of the vehicle from multiple angles, the road condition image including a lane image of the current location of the vehicle and a surrounding environment image;
  • the method further includes:
  • an infrared ranging sensor to detect a distance between the vehicle and an obstacle object on the road
  • the vehicle is determined whether the vehicle is in a dangerous driving state, wherein when the distance between the vehicle and the obstacle object is less than the preset distance threshold, it is determined that the vehicle is in a dangerous driving state.
  • the step of comparing the distance between the vehicle and the obstacle object with a preset distance threshold comprises:
  • the distance between the vehicle and the obstacle object is compared with a preset distance threshold corresponding to the obstacle object, wherein different types of obstacle objects correspond to different preset distance thresholds.
  • the step of determining that the vehicle is in a dangerous driving state when the distance between the vehicle and the obstacle object is less than the preset distance threshold includes:
  • the step of determining whether the vehicle is in a dangerous driving state according to the captured road condition image comprises:
  • the step of determining whether the vehicle replaces a lane according to the lane image comprises:
  • the step of issuing an alarm prompt message when the vehicle is in a dangerous driving state comprises:
  • a corresponding voice prompt message is sent to alert the user.
  • the present invention further provides a vehicle monitoring device, the vehicle monitoring device comprising:
  • An acquisition module configured to invoke a camera to capture a road condition image of the vehicle from multiple angles, where the road condition image includes a lane image of the current location of the vehicle and a surrounding environment image;
  • a determining module configured to determine, according to the captured road condition image, whether the vehicle is in a dangerous driving state
  • the alarm module is configured to issue an alarm prompt message when the vehicle is in a dangerous driving state.
  • the vehicle monitoring device further includes:
  • a detecting module configured to detect, by using an infrared ranging sensor, a distance between the vehicle and an obstacle object on the road;
  • a comparison module configured to compare a distance between the vehicle and the obstacle object with a preset distance threshold
  • the determining module is further configured to determine, according to a comparison result that the distance between the vehicle and the obstacle object is compared with a preset distance threshold, whether the vehicle is in a dangerous driving state, where the vehicle and the obstacle object When the distance between the distances is less than the preset distance threshold, it is determined that the vehicle is in a dangerous driving state.
  • the comparison module is configured to compare a distance between the vehicle and the obstacle object with a preset distance threshold corresponding to the obstacle object, wherein different types of obstacle objects correspond to different preset distance thresholds.
  • the determining module is configured to determine that the vehicle is in a dangerous driving state when a distance between the vehicle and the obstacle object is less than a preset distance threshold corresponding to the obstacle object.
  • the determining module comprises:
  • a first determining unit configured to determine, according to the lane image, whether the vehicle replaces a lane
  • a second determining unit configured to determine, according to an open/close state of the turn signal, whether the vehicle is in a dangerous driving state when the vehicle changes lanes, wherein when the vehicle replaces the lane and the turn signal is turned off, determining The vehicle is in a dangerous driving state.
  • the first determining unit is configured to:
  • the alarm module is used to:
  • a corresponding voice prompt message is sent to alert the user.
  • the vehicle monitoring method and device when the vehicle is running, captures a road condition image of the vehicle by calling a camera, and then determines whether the vehicle is in a dangerous driving state according to the captured road condition image, and sends out when the vehicle is in a dangerous driving state.
  • the alarm prompt message realizes the automatic alarm, prompting the user to take measures to avoid the current driving risk, thereby improving the safety of the vehicle driving.
  • FIG. 1 is a schematic flow chart of a first embodiment of a vehicle monitoring method according to the present invention
  • FIG. 2 is a schematic diagram of a refinement process for determining whether the vehicle is in a dangerous driving state according to the captured road condition image in the first embodiment of the vehicle monitoring method of the present invention
  • FIG. 3 is a schematic flow chart of a second embodiment of a vehicle monitoring method according to the present invention.
  • FIG. 4 is a schematic diagram of functional modules of a first embodiment of a vehicle monitoring device according to the present invention.
  • FIG. 5 is a schematic diagram of a refinement function module of a judging module in a first embodiment of the vehicle monitoring device of the present invention
  • FIG. 6 is a schematic diagram of functional modules of a second embodiment of a vehicle monitoring device of the present invention.
  • the invention provides a vehicle monitoring method.
  • the vehicle monitoring method includes:
  • Step S10 invoking a camera to capture a road condition image of the vehicle from multiple angles, the road condition image including a lane image of the current location of the vehicle and a surrounding environment image;
  • the vehicle is provided with a camera in advance, for example, if the vehicle is provided with a lane keeping assist system, the lane keeping assist system includes a camera.
  • the vehicle calls the camera to capture the road condition image of the vehicle in real time from a plurality of angles, wherein the road condition image includes a lane image of the lane in which the vehicle is currently located, a surrounding environment image of the current location of the vehicle, and the like. For example, by adjusting the shooting angle of the camera, an environmental image within a range of 100 m around the current position of the vehicle is taken.
  • Step S20 determining, according to the captured road condition image, whether the vehicle is in a dangerous driving state
  • the user does not need to view the road condition image by himself, so that it is determined whether the vehicle is currently safe according to the road condition image, but the vehicle automatically determines the vehicle according to the captured road condition image. Is it dangerous to drive? For example, it is determined whether the vehicle is in a dangerous driving state by detecting whether there is a fault object in the road condition image, such as a pedestrian, another vehicle or an object. When it is detected that there is a faulty object, it is judged that the vehicle is in a dangerous driving state.
  • a fault object in the road condition image such as a pedestrian, another vehicle or an object.
  • the step S20 includes:
  • Step S21 determining, according to the lane image, whether the vehicle replaces a lane
  • Step S22 determining, when the vehicle changes lanes, whether the vehicle is in a dangerous driving state according to an opening and closing state of the steering light, wherein when the vehicle changes lane and the turn signal is turned off, determining that the vehicle is Dangerous driving state.
  • the lane change situation of the vehicle may be considered. Specifically, the vehicle determines whether the vehicle replaces the lane based on the lane marking of the lane image in the captured road condition image, for example, detecting whether the vehicle crosses the marking line on both sides of the lane according to the road condition image. When the vehicle crosses the marking line on both sides of the lane, it is judged that the vehicle replaces the lane; otherwise, when the vehicle does not cross the marking line on both sides of the lane, it is judged that the vehicle has not replaced the lane.
  • the current opening and closing state of the turn signal is further detected, and it is detected whether the turn signal is turned on.
  • the turn signal is turned on, it means that the user intentionally changes the lane. Usually, the user pays attention to the road situation when changing lanes, and there is no safety problem. If the turn signal is off, it means that the user may not intentionally change the lane at this time, which is a certain risk. At this time, it is judged that the vehicle is in a dangerous driving state.
  • Step S30 when the vehicle is in a dangerous driving state, an alarm prompt message is issued.
  • the vehicle When it is judged that the vehicle is not in a dangerous driving state, that is, the vehicle is currently driving safely, at this time, the vehicle continues to call the camera to capture a road condition image of the vehicle during traveling, thereby detecting whether the vehicle is in a dangerous driving state in real time according to the road condition image.
  • the vehicle When it is judged that the vehicle is in a dangerous driving state, in order to prevent the danger from occurring, the vehicle issues an alarm prompt message. For example, turn on the speaker to sound a warning, or control to turn on the red indicator light, or issue a voice alarm. It can be understood by those skilled in the art that the alarm prompt information can also be sent by other means, which is not limited herein.
  • the user When the user receives the alarm prompt message, the user can immediately take corresponding measures to avoid the current driving risk.
  • the road condition image of the vehicle is captured by calling the camera, and then according to the captured road condition image, it is determined whether the vehicle is in a dangerous driving state, and when the vehicle is in a dangerous driving state, an alarm prompt message is issued.
  • the user is prompted to take measures to avoid the current driving risk, thereby improving the safety of the vehicle.
  • a second embodiment of the vehicle monitoring method of the present invention is proposed based on the first embodiment.
  • the method before the step S30, the method further includes the following steps:
  • Step S40 using an infrared ranging sensor to detect a distance between the vehicle and an obstacle object on the road;
  • Step S50 comparing a distance between the vehicle and the obstacle object with a preset distance threshold
  • Step S60 determining, according to the comparison result, whether the vehicle is in a dangerous driving state, wherein when the distance between the vehicle and the obstacle object is less than the preset distance threshold, determining that the vehicle is in a dangerous driving state.
  • an infrared ranging sensor is also pre-installed on the vehicle, and the infrared ranging sensor can detect the distance between the vehicle and surrounding pedestrians, vehicles, objects, and the like. During the running of the vehicle, the infrared ranging sensor is used to detect the distance between the vehicle and other obstacles such as vehicles, pedestrians, and objects on the current road in real time.
  • a preset distance threshold is also preset, and the preset distance threshold is a relative safety distance between the vehicle and other objects when the vehicle is safely traveling.
  • the distance between the detected vehicle and the obstacle object is compared with a preset distance threshold, that is, the detected vehicle is compared.
  • the distance between the obstacle object and the preset distance threshold is then judged based on the comparison result to determine whether the vehicle is in a dangerous driving state.
  • determining that the vehicle is in a dangerous driving state that is, when there is a distance between the obstacle object and the vehicle is less than the safety distance
  • determining that the vehicle is in dangerous driving status when the distance between the vehicle and the obstacle object is greater than or equal to the preset distance threshold, that is, when the distance between the obstacle object and the vehicle is less than the safety distance, it is determined that the vehicle is in a safe driving state.
  • the vehicle issues an alarm prompt message.
  • the user receives the alarm prompt information, he can immediately take corresponding measures, for example, driving the vehicle away from the obstacle object that is too close to avoid the current driving risk.
  • step S50 includes:
  • the distance between the vehicle and the obstacle object is compared with a preset distance threshold corresponding to the obstacle object, wherein different types of obstacle objects correspond to different preset distance thresholds.
  • the step S60 includes:
  • a plurality of preset distance thresholds are preset, different types.
  • the obstacle objects correspond to different preset distance thresholds.
  • the distance between the vehicle and the obstacle object is compared with a preset distance threshold corresponding to the obstacle object, between the vehicle and the obstacle object.
  • a preset distance threshold corresponding to the obstacle object it is determined that the vehicle is in a dangerous driving state. Otherwise, when the distance between the vehicle and the obstacle object is greater than or equal to the preset distance threshold corresponding to the obstacle object, that is, when the distance between the obstacle object and the vehicle is less than the safety distance, it is determined that the vehicle is in a safe driving state.
  • step S30 includes:
  • a corresponding voice prompt message is sent to alert the user.
  • corresponding different voice prompt information is preset in advance for different dangerous situations. For example, if the vehicle is too close to the pedestrian, it corresponds to a voice prompt message such as “there is a pedestrian in front, please slow down”; for the vehicle to change lanes, the turn signal is not turned on, corresponding to “replace the lane, please turn on the turn signal” Voice prompts and more.
  • the vehicle issues a corresponding voice prompt message according to the current dangerous situation, thereby alerting the user.
  • the user can accurately know the current dangerous situation, thereby quickly and effectively taking corresponding measures to avoid the current driving risk. For example, if a voice prompt message of "replace lane, turn on the turn signal" is received, the turn signal is immediately turned on to inform other vehicles to turn, thereby avoiding collisions and the like, thereby further improving safety.
  • the distance between the vehicle and the obstacle object on the road is detected by using an infrared ranging sensor, and then the distance between the vehicle and the obstacle object is compared with a preset distance threshold.
  • a preset distance threshold When the distance between the vehicle and the obstacle object is less than the preset distance threshold, it is determined that the vehicle is in a dangerous driving state.
  • an alarm prompt message is issued, and since the infrared distance measuring sensor can accurately detect the distance between the vehicle and the obstacle object, Therefore, the accuracy of the alarm message is ensured, thereby further improving the safety of the vehicle.
  • the invention further provides a vehicle monitoring device.
  • FIG. 4 is a schematic diagram of functional modules of a first embodiment of a vehicle monitoring device according to the present invention.
  • the functional block diagram shown in FIG. 4 is merely an exemplary embodiment of a preferred embodiment, and those skilled in the art can surround the functional modules of the vehicle monitoring device shown in FIG.
  • the function module is added to the function module.
  • the name of each function module is a custom name. It is only used to help understand the various program function blocks of the vehicle monitoring device. It is not used to limit the technical solution of the present invention.
  • the core of the technical solution of the present invention is , the function to be achieved by the function module of each name.
  • the vehicle monitoring device includes:
  • the acquisition module 10 is configured to invoke a camera to capture a road condition image of the vehicle from multiple angles, where the road condition image includes a lane image of the current location of the vehicle and a surrounding environment image;
  • the vehicle is provided with a camera in advance, for example, if the vehicle is provided with a lane keeping assist system, the lane keeping assist system includes a camera.
  • the acquisition module 10 calls the camera to capture the road condition image of the vehicle in real time from a plurality of angles, wherein the road condition image includes a lane image of the current lane of the vehicle, a surrounding environment image of the current location of the vehicle, and the like.
  • the acquisition module 10 captures an environmental image within a range of 100 m around the current position of the vehicle by adjusting the shooting angle of the camera.
  • the determining module 20 is configured to determine, according to the captured road condition image, whether the vehicle is in a dangerous driving state
  • the acquisition module 10 calls the camera to capture the road condition image of the vehicle
  • the user does not need to view the road condition image by himself, so that it is determined according to the road condition image whether the vehicle is currently driving safely, but the determination module 20 is based on the captured road condition.
  • the image automatically determines if the vehicle is in a dangerous driving state.
  • the judging module 20 determines whether the vehicle is in a dangerous driving state by detecting whether there is a fault object, such as a pedestrian, another vehicle or an object, in the road condition image. When it is detected that there is a faulty object, it is judged that the vehicle is in a dangerous driving state.
  • the determining module 20 includes:
  • a first determining unit 21 configured to determine, according to the lane image, whether the vehicle replaces a lane
  • a second determining unit 22 configured to determine, according to an open/close state of the turn signal, whether the vehicle is in a dangerous driving state when the vehicle changes lanes, wherein when the vehicle replaces the lane and the turn signal is turned off, It is determined that the vehicle is in a dangerous driving state.
  • the lane change situation of the vehicle may be considered. Specifically, the first determining unit 21 determines whether the vehicle replaces the lane based on the lane marking of the lane image in the captured road condition image, for example, detecting whether the vehicle crosses the marking line on both sides of the lane according to the road condition image. When the vehicle crosses the marking line on both sides of the lane, it is judged that the vehicle replaces the lane; otherwise, when the vehicle does not cross the marking line on both sides of the lane, it is judged that the vehicle has not replaced the lane.
  • the second determining unit 22 When the first determining unit 21 determines that the vehicle replaces the lane, the second determining unit 22 further detects the opening and closing state of the current turning light, and detects whether the turning light is turned on.
  • the turn signal When the turn signal is turned on, it means that the user intentionally changes the lane. Usually, the user pays attention to the road situation when changing lanes, and there is no safety problem. If the turn signal is off, it means that the user may not intentionally change the lane at this time, which is a certain risk. At this time, the second judging unit 22 judges that the vehicle is in a dangerous running state.
  • the alarm module 30 is configured to issue an alarm prompt message when the vehicle is in a dangerous driving state.
  • the collecting module 10 continues to call the camera to capture the road condition image of the vehicle during driving, and the determining module 20 detects in real time whether the vehicle is in a dangerous driving state according to the road condition image. .
  • the alarm module 30 When it is judged that the vehicle is in a dangerous driving state, in order to prevent the occurrence of danger, the alarm module 30 issues an alarm prompt message. For example, turn on the speaker to sound a warning, or control to turn on the red indicator light, or issue a voice alarm. It can be understood by those skilled in the art that the alarm module 30 can also issue alarm prompt information by other means, which is not limited herein.
  • the user receives the alarm prompt message, the user can immediately take corresponding measures to avoid the current driving risk.
  • the collecting module 10 captures the road condition image of the vehicle by calling the camera, and then the determining module 20 determines whether the vehicle is in a dangerous driving state according to the captured road condition image, when the vehicle is in a dangerous driving state.
  • the alarm module 30 issues an alarm prompt message, thereby realizing an automatic alarm, prompting the user to take measures to avoid the current driving risk, thereby improving the safety of the vehicle.
  • the vehicle monitoring device further includes:
  • a detecting module 40 configured to detect, by using an infrared ranging sensor, a distance between the vehicle and an obstacle object on the road;
  • a comparison module 50 configured to compare a distance between the vehicle and the obstacle object with a preset distance threshold
  • the determining module 20 is further configured to determine, according to a comparison result that the distance between the vehicle and the obstacle object is compared with a preset distance threshold, whether the vehicle is in a dangerous driving state, where the vehicle and the obstacle object When the distance between the distances is less than the preset distance threshold, it is determined that the vehicle is in a dangerous driving state.
  • an infrared ranging sensor is also pre-installed on the vehicle, and the infrared ranging sensor can detect the distance between the vehicle and surrounding pedestrians, vehicles, objects, and the like.
  • the detecting module 40 uses the infrared ranging sensor to detect the distance between the vehicle and other obstacle objects such as vehicles, pedestrians, and objects on the current road in real time.
  • a preset distance threshold is also preset, and the preset distance threshold is a relative safety distance between the vehicle and other objects when the vehicle is safely traveling.
  • the detecting module 40 detects the distance between the vehicle and the obstacle object on the current road by using the infrared ranging sensor
  • the comparing module 50 compares the detected distance between the vehicle and the obstacle object with a preset distance threshold, That is, the distance between the detected vehicle and the obstacle object and the preset distance threshold are compared, and then the determination module 20 determines whether the vehicle is in a dangerous driving state according to the comparison result.
  • the determining module 20 determines that the vehicle is in a dangerous driving state, that is, when the distance between the certain obstacle object and the vehicle is less than the safety distance, determining the vehicle In dangerous driving conditions. Otherwise, when the distance between the vehicle and the obstacle object is greater than or equal to the preset distance threshold, that is, when the distance between the obstacle object and the vehicle is less than the safety distance, the determination module 20 determines that the vehicle is in a safe driving state.
  • the alarm module 30 issues an alarm prompt message.
  • the user receives the alarm prompt information, he can immediately take corresponding measures, for example, driving the vehicle away from the obstacle object that is too close to avoid the current driving risk.
  • the comparison module 50 is configured to:
  • the distance between the vehicle and the obstacle object is compared with a preset distance threshold corresponding to the obstacle object, wherein different types of obstacle objects correspond to different preset distance thresholds.
  • the determining module 20 is configured to:
  • a plurality of preset distance thresholds are preset, different types.
  • the obstacle objects correspond to different preset distance thresholds.
  • the comparing module 50 compares the distance between the vehicle and the obstacle object with a preset distance threshold corresponding to the obstacle object, when When the distance between the vehicle and the obstacle object is less than the preset distance threshold corresponding to the obstacle object, the determining module 20 determines that the vehicle is in a dangerous driving state. Otherwise, when the distance between the vehicle and the obstacle object is greater than or equal to the preset distance threshold corresponding to the obstacle object, that is, when the distance between the obstacle object and the vehicle is less than the safety distance, the determining module 20 determines that the vehicle is in a safe driving state. .
  • the alarm module 30 is configured to:
  • a corresponding voice prompt message is sent to alert the user.
  • corresponding different voice prompt information is preset in advance for different dangerous situations. For example, if the vehicle is too close to the pedestrian, it corresponds to a voice prompt message such as “there is a pedestrian in front, please slow down”; for the vehicle to change lanes, the turn signal is not turned on, corresponding to “replace the lane, please turn on the turn signal” Voice prompts and more.
  • the alarm module 30 issues corresponding voice prompt information according to the current dangerous situation, thereby alerting the user.
  • the user can accurately know the current dangerous situation, thereby quickly and effectively taking corresponding measures to avoid the current driving risk. For example, if a voice prompt message of "replace lane, turn on the turn signal" is received, the turn signal is immediately turned on to inform other vehicles to turn, thereby avoiding collisions and the like, thereby further improving safety.
  • the detecting module 40 detects the distance between the vehicle and the obstacle object on the road by using the infrared ranging sensor, and then compares the distance between the vehicle and the obstacle object by the comparison module 50.
  • the distance threshold is compared.
  • the determining module 20 determines that the vehicle is in a dangerous driving state.
  • the alarm module 30 issues an alarm prompt message, because the infrared ranging sensor can be accurate. The distance between the vehicle and the obstacle object is detected, thus ensuring the accuracy of the alarm message, thereby further improving the safety of the vehicle.
  • the foregoing embodiment method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be through hardware, but in many cases, the former is better.
  • Implementation Based on such understanding, the technical solution of the present invention, which is essential or contributes to the prior art, may be embodied in the form of a software product stored in a storage medium (such as ROM/RAM, disk,
  • the optical disc includes a number of instructions for causing a terminal device (which may be a cell phone, a computer, a server, an air conditioner, or a network device, etc.) to perform the methods described in various embodiments of the present invention.

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • Transportation (AREA)
  • Mechanical Engineering (AREA)
  • Traffic Control Systems (AREA)

Abstract

La présente invention concerne un procédé et un appareil de surveillance d'un véhicule. Le procédé comprend les étapes suivantes consistant à : faire appel à des caméras pour capturer des images d'une condition de circulation destinées à un véhicule à partir d'une pluralité d'angles, les images d'une condition de circulation contenant des images de la voie de circulation d'une position actuelle du véhicule et des images de l'environnement (S10) ; en fonction des images d'une condition de circulation capturées, déterminer si le véhicule est dans un état de conduite dangereux (S20) ; et, le cas échéant, envoyer un message d'instruction d'alerte (S30). Le procédé et l'appareil peuvent améliorer la sécurité de la conduite d'un véhicule.
PCT/CN2017/070484 2016-08-25 2017-01-06 Procédé et appareil de surveillance d'un véhicule WO2018036086A1 (fr)

Applications Claiming Priority (2)

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CN201610726194.2 2016-08-25
CN201610726194.2A CN106297410A (zh) 2016-08-25 2016-08-25 车辆监测方法及装置

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CN106297410A (zh) * 2016-08-25 2017-01-04 深圳市元征科技股份有限公司 车辆监测方法及装置
CN106864361B (zh) * 2017-02-14 2019-04-30 驭势科技（北京）有限公司 车辆与车外人车交互的方法、系统、装置和存储介质
CN107028274A (zh) * 2017-04-11 2017-08-11 重庆银钢科技（集团）有限公司 一种头盔及利用头盔进行互动的方法
CN107481530A (zh) * 2017-09-12 2017-12-15 深圳市易成自动驾驶技术有限公司 交通违规行为的监控方法、系统及计算机可读存储介质
CN108922242A (zh) * 2018-06-05 2018-11-30 宁波金洋化工物流有限公司 危化品运输车辆预防性跟踪及管控平台
CN110853342A (zh) * 2018-07-24 2020-02-28 东旭科技集团有限公司 确定驾驶状态的方法、装置、路灯及可读存储介质
CN109272715A (zh) * 2018-10-23 2019-01-25 袁宜秀 一种挡鼠板开合状态实时监测系统及监测方法
CN109693740B (zh) * 2019-01-02 2021-05-18 京东方科技集团股份有限公司 车辆危险规避设备、方法及存储介质
CN109895767B (zh) * 2019-03-19 2020-11-10 奇瑞汽车股份有限公司 汽车的控制方法、装置及存储介质
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