WO2024159983A1 - Procédé et appareil d'envoi d'informations d'alerte rapide pendant un processus de conduite de véhicule - Google Patents
Procédé et appareil d'envoi d'informations d'alerte rapide pendant un processus de conduite de véhicule Download PDFInfo
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- WO2024159983A1 WO2024159983A1 PCT/CN2023/142008 CN2023142008W WO2024159983A1 WO 2024159983 A1 WO2024159983 A1 WO 2024159983A1 CN 2023142008 W CN2023142008 W CN 2023142008W WO 2024159983 A1 WO2024159983 A1 WO 2024159983A1
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- 230000008569 process Effects 0.000 title claims abstract description 9
- 238000004891 communication Methods 0.000 claims description 18
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- 238000012502 risk assessment Methods 0.000 claims description 14
- 238000004590 computer program Methods 0.000 claims description 8
- 238000012545 processing Methods 0.000 description 3
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- 102100023591 Polyphosphoinositide phosphatase Human genes 0.000 description 2
- 101100012902 Saccharomyces cerevisiae (strain ATCC 204508 / S288c) FIG2 gene Proteins 0.000 description 2
- 101100233916 Saccharomyces cerevisiae (strain ATCC 204508 / S288c) KAR5 gene Proteins 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
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Classifications
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- 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
- B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
- B60W50/08—Interaction between the driver and the control system
- B60W50/14—Means for informing the driver, warning the driver or prompting a driver intervention
-
- 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
- B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Definitions
- a method and device for sending early warning information during vehicle driving A method and device for sending early warning information during vehicle driving.
- the method for sending warning information during vehicle driving detects the distraction status of the driver and pedestrians, sends an alarm to the driver and pedestrians when the distraction status is determined, or generates danger warning information based on the vehicle status information and the location information when the current vehicle is determined to have a fault according to the vehicle status information and broadcasts it through the V2X channel.
- Some schemes consider the influence of the driver's concentration or vehicle status separately, without considering that when the driver is not distracted and the vehicle has not failed, the driver's real-time dangerous behavior will also pose a threat to the safety of surrounding drivers, such as the driver's habit of frequently switching lanes, driving too fast on low-speed sections, driving too slow on fast lanes, and liking to brake suddenly.
- the method for sending warning information during vehicle driving has a technical problem that it cannot send warnings based on the driver's real-time dangerous behavior, resulting in high driving risks.
- the purpose of the embodiments of the present application is to provide a method and device for sending warning information during vehicle driving.
- a method for sending warning information during vehicle driving comprising: obtaining first information of a target vehicle during driving; determining a dynamic warning frequency based on the first information; determining warning information when the real-time risk level of the target vehicle is greater than a preset threshold; and sending warning information based on the dynamic warning frequency.
- a device for sending warning information during vehicle driving includes: an acquisition module, which is configured to obtain first information of a target vehicle during driving; the first information includes attribute information of the target vehicle, current position information of the target vehicle and historical risk information; a first determination module, which is configured to determine a dynamic warning frequency based on the attribute information, position information and historical risk information; a second determination module, which is configured to determine the warning information when the target vehicle has real-time dangerous driving behavior; and a sending module, which is configured to send the warning information based on the dynamic warning frequency.
- an electronic device including a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other through the communication bus; the memory is configured to store computer programs; and the processor is configured to implement the method for sending warning information during vehicle driving as described in the first aspect when executing the program stored in the memory.
- a computer-readable storage medium in which instructions are stored.
- the computer-readable storage medium When the computer-readable storage medium is run on a computer, the computer executes the method for sending warning information during vehicle driving described in the first aspect above.
- FIG1 is a flow chart of a method for sending warning information during vehicle driving according to an embodiment of the present application
- FIG2 is a second flow chart of a method for sending warning information during vehicle driving according to an embodiment of the present application
- FIG3 is a third flow chart of a method for sending warning information during vehicle driving according to an embodiment of the present application.
- FIG4 is a fourth flow chart of a method for sending warning information during vehicle driving according to an embodiment of the present application.
- FIG5 is a fifth flow chart of a method for sending warning information during vehicle driving according to an embodiment of the present application.
- FIG6 is a sixth flow chart of a method for sending warning information during vehicle driving according to an embodiment of the present application.
- FIG. 7 is a seventh flow chart of a method for sending warning information during vehicle driving according to an embodiment of the present application.
- FIG8 is a flowchart of an eighth method for sending warning information during vehicle driving according to an embodiment of the present application.
- FIG9 is a ninth flow chart of a method for sending warning information during vehicle driving according to an embodiment of the present application.
- FIG10 is a schematic diagram of the structure of a device for sending warning information during vehicle driving in an embodiment of the present application
- FIG. 11 is a schematic diagram of the structure of an electronic device in an embodiment of the present application.
- the embodiment of the present application provides a method for sending warning information during vehicle driving, as shown in Figure 1, the method includes the following steps:
- Step 102 Acquire first information of a target vehicle during driving
- the first information includes the attribute information, location information, historical risk information and/or status information of the target vehicle;
- the vehicle's attribute information includes the vehicle's frame number, license plate number, body color, and vehicle type;
- the location information includes the vehicle's current location, heading, and road type;
- the vehicle's status information includes the vehicle's driving speed, braking status, the switch status of the main driver's door, and the main driver's seat position status.
- Step 104 Determine a dynamic warning frequency based on the first information
- some embodiments of the present application determine the dynamic warning frequency based on the current road type, vehicle type, and historical risk level in the first information.
- Step 106 When the real-time risk level of the target vehicle is greater than a preset threshold, determining warning information
- the real-time risk level of the target vehicle is determined based on the first information; the real-time risk types of the target vehicle include frequent lane switching, speeding, underspeed driving and/or sudden braking;
- the warning information can be vehicle identity information, vehicle risk type, real-time risk level, vehicle position information, or a combination of one or more of the above; based on the switch status of the main driving door and the position status of the main driving seat, it is determined whether the driver has been changed; in the case of a driver change, the level of the historical risk level is reset to 0 (indicating no historical risk); based on the changes in vehicle position and heading, it is determined whether the target vehicle switches lanes and the number of lane switches is recorded; if the number of lane switches exceeds the preset number within the preset time period, it is determined that the target vehicle frequently switches lanes; if the vehicle speed is higher than the maximum speed limit of the current road type, it is determined that the target vehicle is speeding; if the vehicle speed is lower than the minimum speed limit
- Step 108 Send warning information based on the dynamic warning frequency.
- the warning information can be broadcast to other vehicles through the PC5 direct connection channel based on the on-board terminal, or sent to other vehicles by the server side through the Uu channel. It can also be sent by the server to the RSU on the same section through the Uu channel, and then broadcast to other vehicles by the RSU through the PC5 channel; for target vehicles whose real-time risk level is greater than the preset threshold, the warning information is generated and directly parsed and prompted to the driver of the target vehicle; for vehicles that receive risk warning messages from other vehicles, the warning information is parsed and prompted to the driver.
- the first information of the target vehicle during driving is obtained; based on the first information, the dynamic warning frequency is determined; when the real-time risk level of the target vehicle is greater than the preset threshold, the warning information is determined; the warning information is sent based on the dynamic warning frequency; that is, the method for sending warning information during vehicle driving provided by the embodiment of the present application can determine whether to send warning information according to the real-time risk level during driving, thereby solving the technical problem of high driving risk caused by the inability to send warnings based on the real-time dangerous behavior of the driver.
- the step 104 of the present application involves determining the dynamic warning frequency based on the first information, as shown in FIG2, including:
- Step 202 Determine attribute information, location information and/or historical risk information of the target vehicle based on the first information
- some embodiments of the present application determine the dynamic warning frequency based on the current road type, vehicle type, and historical risk level in the first information; the road type can be issued by the platform side according to the GPS position of the vehicle, or broadcast by the RSU of the road section where the vehicle is located.
- the on-board terminal After receiving the broadcast message, the on-board terminal parses and extracts the road type information; the road type weight is recorded as Wr (Weight of Road), Wr can be 0.25; and the corresponding level coefficient is determined according to different road types, recorded as Lr (Level of Road), for example: expressway section> urban road> rural road, and its level coefficient can be 1, 0.6, 0.2 respectively; when the vehicle type is preset on the on-board terminal during vehicle assembly, the vehicle type can be read from the on-board terminal itself; if not, the vehicle type can be set according to the actual situation when registering the vehicle information on the platform side, and the vehicle is obtained from the platform side; according to the vehicle type and the level of harm it may cause, the dynamic warning frequency of different vehicles is distinguished; the vehicle type weight is recorded as Wv (Weight of Vehicle), Wv can be 0.25; and the corresponding level coefficient is assigned according to different vehicle types, recorded as Lv (Level of Vehicle), for example: flammable and explosive hazardous gas transport vehicles> heavy trucks>buses>
- the historical risk level weight is recorded as Wbr (Weight of latest Behavior Risk), Wbr can be 0.5; and according to different historical risk levels, the corresponding level coefficient is assigned, recorded as Lbr (Level of latest Behavior Risk), and the historical risk level can include It includes emergency, high, medium, low, relatively low, and none, among which "none" means that no risk has occurred.
- the coefficients corresponding to the historical risk levels can be 1, 0.8, 0.6, 0.4, 0.2, and 0 respectively.
- Step 204 Determine the dynamic warning frequency based on the attribute information, location information and/or historical risk information.
- the default maximum frequency is 1HZ, that is, 1 time/second, taking a vehicle transporting flammable and explosive goods on a highway as an example;
- the method for sending warning information during vehicle driving provided in the embodiment of the present application can determine the dynamic warning frequency based on attribute information, location information and/or historical risk information. The more urgent the situation, the higher the dynamic warning frequency, which can remind the driver to avoid risks and drive safely as soon as possible.
- the method for sending warning information during vehicle driving provided by the embodiment of the present application, the first information of the target vehicle during driving involved in step 102 of the present application, as shown in FIG3, includes:
- Step 302 Acquire attribute information based on the vehicle terminal and/or the Internet of Vehicles platform;
- vehicle's attribute information includes the vehicle's frame number, license plate number, body color, and vehicle type.
- Step 304 Acquire location information based on the GPS module
- the location information includes the vehicle's current location, heading, and road type.
- Step 306 Obtain vehicle status information based on the controller area network (CAN) bus of the target vehicle
- Step 308 Obtain the road type information and historical risk information of the target vehicle.
- historical risk information includes frequent lane changes, speeding, driving too slowly, drinking and driving, drunk driving and/or sudden braking.
- step 106 of the present application determines the warning information, as shown in FIG4, including:
- Step 402 Determine the real-time risk level of the target vehicle based on the first information; wherein the first information includes the state information of the target vehicle; the state information is used to characterize the current driving state of the target vehicle;
- Step 404 When the real-time risk level of the target vehicle is greater than a preset threshold, a warning message is determined.
- the method for sending warning information during vehicle driving performs risk analysis based on a terminal, as shown in FIG5 , including:
- Step 502 Acquire first information of a target vehicle during driving based on a terminal
- Step 504 The terminal determines a dynamic warning frequency based on the first information
- Step 506 When the terminal determines that the target vehicle has a real-time risk level greater than a preset threshold, it determines warning information
- Step 508 The terminal broadcasts warning information to the first vehicle through the vehicle-to-external information exchange V2X channel based on the dynamic warning frequency; wherein the first vehicle is used to represent a vehicle whose distance from the target vehicle is less than a first preset distance.
- the risk analysis based on the terminal includes a vehicle information collection module based on the target vehicle terminal to obtain the first information of the target vehicle during driving; an information processing module based on the target vehicle terminal determines the dynamic warning frequency, determines the real-time risk level and determines the warning information; a warning information sending module based on the target vehicle sends the warning information to the first vehicle through the PC5 interface; the first vehicle terminal receives the warning information, analyzes the warning information and prompts the driver
- the method for sending warning information during vehicle driving provided in the embodiment of the present application can perform risk analysis based on the terminal, and the analysis speed is fast and accurate.
- the method for sending warning information during vehicle driving performed in the embodiment of the present application performs risk analysis based on the edge computing server MEC, as shown in FIG7, including:
- Step 702 Acquire first information of a target vehicle during driving based on the terminal, and send the first information to an edge computing server;
- Step 704 The edge computing server determines a dynamic warning frequency based on the first information
- Step 706 The edge computing server determines warning information when the real-time risk level of the target vehicle is greater than a preset threshold
- Step 708 The edge computing server sends warning information to the first vehicle through the Uu interface based on the dynamic warning frequency; wherein the first vehicle is used to represent a vehicle whose distance from the target vehicle is less than a first preset distance; or, the edge computing server interacts with the roadside unit RSU associated with the target vehicle through the Uu interface based on the dynamic warning frequency, and the RSU sends warning information to the first vehicle through the PC5 interface.
- the warning information is sent to the first vehicle in the form of V2X channel broadcast for information exchange between the vehicle and the outside world;
- the PC5 interface is the interface for interaction between the vehicle's module and the vehicle, roadside equipment, and people, and uses the user plane between V2X service UEs for D2D (Device to Device) direct communication.
- Risk analysis is performed based on the edge computing server MEC, as shown in Figure 8, including obtaining first information of the target vehicle during driving based on the vehicle information of the target vehicle terminal, determining the dynamic warning frequency based on the information processing module of the target vehicle terminal, and sending the first information to the roadside unit; sending the first information to the edge computing server MEC or the Internet of Vehicles platform through the Uu interface, or interacting with the roadside unit RSU associated with the target vehicle through the Uu interface, and the RSU sends the first information to the edge computing server MEC or the Internet of Vehicles platform through the PC5 interface; the edge computing server MEC or the Internet of Vehicles platform receives the first information, determines the real-time risk type and real-time risk level, updates the regional risk level of the vehicle and the adjacent road sections, and determines the warning information, and sends the warning information to the first vehicle based on the dynamic warning frequency; the first vehicle terminal receives the warning information, analyzes the warning information and prompts the driver.
- the method for sending warning information during vehicle driving provided in the embodiment of the present application performs risk analysis based on the edge computing server MEC.
- the method for sending warning information during vehicle driving provided in the embodiment of the present application performs risk analysis based on the Internet of Vehicles platform, as shown in FIG9 , including:
- Step 902 Acquire first information of a target vehicle during driving based on the terminal, and send the first information to the Internet of Vehicles platform;
- Step 904 The Internet of Vehicles platform determines a dynamic warning frequency based on the first information
- Step 906 When the real-time risk level of the target vehicle is greater than the preset threshold, the Internet of Vehicles platform determines the warning signal. interest;
- Step 908 The Internet of Vehicles platform sends warning information to the first vehicle through the Uu interface based on the dynamic warning frequency; wherein the first vehicle is used to represent a vehicle whose distance from the target vehicle is less than a first preset distance; or, the Internet of Vehicles platform interacts with the roadside unit RSU associated with the target vehicle through the Uu interface based on the dynamic warning frequency, and the RSU sends warning information to the first vehicle through the PC5 interface.
- the method for sending warning information during vehicle driving provided in the embodiment of the present application performs risk analysis based on the Internet of Vehicles platform.
- the method for sending warning information during vehicle driving provided in the embodiment of the present application can determine whether to send warning information according to the real-time risk level during driving, thereby solving the technical problem of high driving risk caused by the inability to send warnings based on the driver's real-time dangerous behavior.
- the embodiment of the present application provides a device for sending warning information during vehicle driving, as shown in FIG10 , the device includes:
- the first acquisition module 1002 is configured to acquire first information of a target vehicle during driving; the first information includes attribute information of the target vehicle, current location information of the target vehicle, and historical risk information;
- a first determination module 1004 is configured to determine a dynamic warning frequency based on attribute information, location information, and historical risk information;
- the second determination module 1006 is configured to determine warning information when the target vehicle has a real-time dangerous driving behavior
- the first sending module 1008 is configured to send warning information based on the dynamic warning frequency.
- the acquisition module is configured to obtain first information of the target vehicle during driving; the first information includes attribute information of the target vehicle, current position information of the target vehicle and historical risk information; the first determination module is configured to determine the dynamic warning frequency based on the attribute information, position information and historical risk information; the second determination module is configured to determine the warning information when the target vehicle has real-time dangerous driving behavior; the sending module is configured to send the warning information based on the dynamic warning frequency; that is, whether to send the warning information is determined according to the real-time risk level during driving, thereby solving the technical problem of high driving risk caused by the inability to send a warning based on the driver's real-time dangerous behavior.
- the first determination module 1004 provided in the embodiment of the present application may include:
- a first determination unit is configured to determine attribute information, location information and/or historical risk information of the target vehicle based on the first information
- the second determination unit is configured to determine the dynamic warning frequency based on the attribute information, the location information and/or the historical risk information.
- the first acquisition module 1002 provided in the embodiment of the present application may include:
- a first acquisition unit is configured to acquire attribute information based on a vehicle terminal and/or a vehicle networking platform
- a second acquisition unit is configured to acquire location information based on a GPS module
- a third acquisition unit is configured to acquire historical vehicle status information based on a controller area network (CAN) bus of the target vehicle;
- CAN controller area network
- the fourth acquisition unit is configured to acquire the road type information and historical risk information of the target vehicle.
- the second determination module 1006 provided in the embodiment of the present application may include:
- a third determination unit is configured to determine a real-time risk level of the target vehicle based on the first information; wherein the first information includes state information of the target vehicle; and the state information is used to characterize a current driving state of the target vehicle;
- the fourth determining unit is configured to determine warning information when the real-time risk level of the target vehicle is greater than a preset threshold.
- the device for sending warning information during vehicle driving provided by the embodiment of the present application, based on the risk analysis of the terminal, may include:
- a second acquisition module is configured to acquire first information of a target vehicle during driving based on a terminal
- a third determination module is configured to determine the dynamic warning frequency based on the first information by the terminal
- a fourth determination module is configured to determine warning information when the real-time risk level of the target vehicle is greater than a preset threshold value
- the second sending module is configured to broadcast the warning information through the vehicle-to-external information exchange V2X channel based on the dynamic warning frequency of the terminal.
- the device for sending warning information during vehicle driving performs risk analysis based on the edge computing server MEC, which may include:
- a first processing module is configured to obtain first information of a target vehicle during driving based on a terminal, and send the first information to an edge computing server;
- a fifth determination module is configured to determine the dynamic warning frequency based on the first information by the edge computing server
- a sixth determination module is configured to determine warning information when the real-time risk level of the target vehicle is greater than a preset threshold value by the edge computing server;
- the third sending module is configured such that the edge computing server sends warning information to the first vehicle through the Uu interface based on the dynamic warning frequency; wherein the first vehicle is used to represent a vehicle whose distance from the target vehicle is less than a first preset distance; or, the edge computing server interacts with the roadside unit RSU associated with the target vehicle through the Uu interface based on the dynamic warning frequency, and the RSU sends the warning information to the first vehicle through the PC5 interface.
- the device for sending warning information during vehicle driving provided by the embodiment of the present application performs risk analysis based on the Internet of Vehicles platform, which may include:
- the second processing module is configured to obtain first information of the target vehicle during driving based on the terminal, and send the first information to the Internet of Vehicles platform;
- a seventh determination module is configured to determine the dynamic warning frequency based on the first information by the Internet of Vehicles platform;
- An eighth determination module is configured to determine warning information when the real-time risk level of the target vehicle is greater than a preset threshold value on the Internet of Vehicles platform;
- the fourth sending module is configured such that the Internet of Vehicles platform sends warning information to the first vehicle through the Uu interface based on the dynamic warning frequency; wherein the first vehicle is used to represent a vehicle whose distance from the target vehicle is less than a first preset distance; or, the Internet of Vehicles platform interacts with the roadside unit RSU associated with the target vehicle through the Uu interface based on the dynamic warning frequency, and the RSU sends the warning information to the first vehicle through the PC5 interface.
- the embodiment of the present application also provides an electronic device, as shown in FIG11, including a processor 1101, a communication interface 1102, a memory 1103 and a communication bus 1104, wherein the processor 1101, the communication interface 1102, and the memory 1103 are connected to the communication bus 1104.
- Line 1104 completes the communication between them.
- Memory 1103, configured to store computer programs
- processor 1101 When the processor 1101 is configured to execute the program stored in the memory 1103, the method steps in FIG. 1 are implemented, and the role played by the processor 1101 is the same as that of the method steps in FIG. 1, which will not be described in detail here.
- the communication bus mentioned in the above terminal can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc.
- PCI Peripheral Component Interconnect
- EISA Extended Industry Standard Architecture
- the communication bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, only one thick line is used in FIG11, but it does not mean that there is only one bus or one type of bus.
- the communication interface is used for communication between the above terminal and other devices.
- the memory may include a random access memory (RAM) or a non-volatile memory, such as at least one disk storage.
- RAM random access memory
- non-volatile memory such as at least one disk storage.
- the memory may also be at least one storage device located away from the aforementioned processor.
- processors can be general-purpose processors, including central processing units (CPU), network processors (NP), etc.; they can also be digital signal processors (DSP), application specific integrated circuits (ASIC), field programmable gate arrays (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components.
- CPU central processing units
- NP network processors
- DSP digital signal processors
- ASIC application specific integrated circuits
- FPGA field programmable gate arrays
- a computer-readable storage medium which stores instructions.
- the computer-readable storage medium executes the method for sending warning information during vehicle driving as described in any of the above embodiments.
- a computer program product including instructions is also provided, which, when executed on a computer, enables the computer to execute the method for sending warning information during vehicle driving as described in any of the above embodiments.
- the method and device for sending warning information during vehicle driving obtain first information of the target vehicle during driving; determine the dynamic warning frequency based on the first information; determine the warning information when the real-time risk level of the target vehicle is greater than a preset threshold; send the warning information based on the dynamic warning frequency; that is, determine whether to send the warning information according to the real-time risk level during driving, thereby solving the technical problem of high driving risk caused by the inability to send warnings based on the real-time dangerous behavior of the driver.
- the computer program product includes one or more computer instructions.
- the computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device.
- the computer instructions may be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium.
- the computer instructions may be transmitted from one website, computer, server or data center to another website, computer, server or data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means.
- the computer-readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server or data center that includes one or more available media integrated therein.
- the available medium may be a magnetic medium (e.g., Such as floppy disk, hard disk, magnetic tape), optical media (such as DVD), or semiconductor media (such as solid state disk (SSD)).
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Abstract
L'invention concerne un procédé et un appareil pour envoyer des informations d'alerte rapide pendant un processus de conduite de véhicule. Le procédé consiste à : acquérir des premières informations d'un véhicule cible pendant le processus de conduite (102) ; sur la base des premières informations, déterminer une fréquence d'alerte rapide dynamique (104) ; lorsque le niveau de risque en temps réel du véhicule cible est supérieur à un seuil prédéfini, déterminer des informations d'alerte rapide (106) ; et, sur la base de la fréquence d'alerte rapide dynamique, envoyer les informations d'alerte rapide (108).
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CN202310092193.7 | 2023-01-30 | ||
CN202310092193.7A CN116101310A (zh) | 2023-01-30 | 2023-01-30 | 一种车辆行驶过程中预警信息的发送方法及装置 |
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Citations (6)
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CN111959488A (zh) * | 2020-08-04 | 2020-11-20 | 长城汽车股份有限公司 | 控制车辆的方法、装置、存储介质及车辆 |
CN113257039A (zh) * | 2021-06-28 | 2021-08-13 | 武汉依迅北斗时空技术股份有限公司 | 基于大数据分析的驾驶预警方法及装置 |
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CN114758480A (zh) * | 2022-03-29 | 2022-07-15 | 成都亿盟恒信科技有限公司 | 一种基于实时驾驶数据的驾驶风险判断方法及系统 |
US20220314878A1 (en) * | 2021-03-31 | 2022-10-06 | Toyota Jidosha Kabushiki Kaisha | Vehicle control system |
CN116101310A (zh) * | 2023-01-30 | 2023-05-12 | 中兴通讯股份有限公司 | 一种车辆行驶过程中预警信息的发送方法及装置 |
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2023
- 2023-01-30 CN CN202310092193.7A patent/CN116101310A/zh active Pending
- 2023-12-26 WO PCT/CN2023/142008 patent/WO2024159983A1/fr unknown
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CN113470401A (zh) * | 2020-03-30 | 2021-10-01 | 纳恩博(常州)科技有限公司 | 车辆行驶提示方法、车辆和介质 |
CN111959488A (zh) * | 2020-08-04 | 2020-11-20 | 长城汽车股份有限公司 | 控制车辆的方法、装置、存储介质及车辆 |
US20220314878A1 (en) * | 2021-03-31 | 2022-10-06 | Toyota Jidosha Kabushiki Kaisha | Vehicle control system |
CN113257039A (zh) * | 2021-06-28 | 2021-08-13 | 武汉依迅北斗时空技术股份有限公司 | 基于大数据分析的驾驶预警方法及装置 |
CN114758480A (zh) * | 2022-03-29 | 2022-07-15 | 成都亿盟恒信科技有限公司 | 一种基于实时驾驶数据的驾驶风险判断方法及系统 |
CN116101310A (zh) * | 2023-01-30 | 2023-05-12 | 中兴通讯股份有限公司 | 一种车辆行驶过程中预警信息的发送方法及装置 |
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