CN115457677A - Vehicle data acquisition method and system - Google Patents
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
- G07C5/008—Registering or indicating the working of vehicles communicating information to a remotely located station
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
- G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
- G07C5/0841—Registering performance data
- G07C5/085—Registering performance data using electronic data carriers
- G07C5/0866—Registering performance data using electronic data carriers the electronic data carrier being a digital video recorder in combination with video camera
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- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
- G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
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Abstract
A vehicle data acquisition method and system, the vehicle has front-mounted cameras, the front-mounted cameras connect the forward millimeter wave radar through P-CAN, and there are VHR modules in the front-mounted cameras, the method includes: the front-facing camera acquires a picture and first vehicle data of a vehicle in running in real time, acquires second vehicle data uploaded by the forward millimeter wave radar through the P-CAN in real time, and stores the acquired picture, the first vehicle data and the second vehicle in a local storage space; when the VHR module detects a trigger event, the VHR module extracts the specified information in the local storage space and uploads the acquired specified information to the Tbox through the Ethernet interface; and the Tbox compresses the specified information sent by the VHR module into a VHR data file and uploads the VHR data file to the cloud. The invention can effectively record the vehicle information and the environmental information in time when the vehicle accident happens, and is convenient for the analysis of the problem after the accident and the optimization of the functional performance.
Description
Technical Field
The invention relates to the field of data processing, in particular to a vehicle data acquisition method and system.
Background
When the state develops the intelligent networking automobile vigorously, the related technology of the intelligent networking automobile develops rapidly, and the holding capacity of the intelligent networking automobile is increased rapidly. The development of the intelligent networked automobile brings great convenience and better driving experience for people.
In order to guarantee the safety of the vehicle, data in the driving process of the current vehicle can be recorded and uploaded to the cloud. However, because the intelligent degree of the intelligent networked automobile is not high or is not complete or the driver relies on the intelligent networked automobile too much, some vehicle faults and driving abnormalities caused by the functional failure or untimely reaction of the intelligent networking can exist.
The current vehicle can not accurately record data when the vehicle has faults and runs abnormally, so that the subsequent fault analysis and the functional performance optimization are very difficult.
Disclosure of Invention
In view of the above, it is necessary to provide a vehicle data collecting method and system for accurately recording data during vehicle failure and abnormal driving in the prior art.
A vehicle data acquisition method is characterized in that a vehicle is provided with a front camera, the front camera is connected with a forward millimeter wave radar through a P-CAN, a VHR module is arranged in the front camera, and the vehicle data acquisition method comprises the following steps:
the front-facing camera acquires a picture and first vehicle data of a vehicle in running in real time, acquires second vehicle data uploaded by the forward millimeter wave radar through a P-CAN in real time, and stores the acquired picture, the first vehicle data and the second vehicle in a local storage space;
when the VHR module detects a trigger event, the VHR module extracts the specified information in the local storage space and uploads the acquired specified information to the Tbox through an Ethernet interface;
the Tbox compresses the specified information sent by the VHR module into a VHR data file and uploads the VHR data file to the cloud;
when the trigger event is an AEB trigger event, the specified information comprises n photos at the trigger moment in the local storage space, first vehicle data and second vehicle data within a preset time length after the AEB trigger event, and the n photos after the preset time length.
Further, in the vehicle data acquisition method, when the trigger event is a vehicle fault event, the specific information includes first vehicle data and second vehicle data within a preset time after the vehicle fault event occurs.
Further, in the vehicle data collection method, the first vehicle data includes fault diagnosis positioning data collected by a front camera, and the second vehicle data includes fault diagnosis positioning data collected by a forward millimeter wave radar.
Further, the vehicle data collecting method further includes: when the VHR module detects a trigger event, the VHR module also acquires sensing data acquired by the ADAS device and sends the sensing data to the Tbox, and the Tbox uploads the acquired sensing data to the cloud.
Further, according to the vehicle data acquisition method, the interface protocol between the Tbox and the VHR module adopts a home/IP protocol, and the VHR module serves as a Service provider of the home IP and transmits data to the Tbox in an Event manner.
The invention also provides a vehicle data acquisition system, which comprises a front-facing camera, wherein the front-facing camera is connected with the forward millimeter wave radar through the P-CAN, a VHR module is arranged in the front-facing camera,
the front-facing camera is used for acquiring a picture and first vehicle data in the running process of a vehicle in real time, acquiring second vehicle data uploaded by the forward millimeter wave radar through a P-CAN in real time, and storing the acquired picture, the first vehicle data and the second vehicle in a local storage space;
the VHR module is used for extracting the specified information in the local storage space when a trigger event is detected, and uploading the acquired specified information to the Tbox through an Ethernet interface;
the Tbox is used for compressing the specified information sent by the VHR module into a VHR data file and uploading the VHR data file to a cloud;
when the trigger event is an AEB trigger event, the designated information comprises n photos at the trigger time in the local storage space, first vehicle data and second vehicle data within a preset time length after the AEB trigger event, and the n photos after the preset time length.
Further, in the vehicle data acquisition system, when the trigger event is a vehicle fault event, the specific information includes first vehicle data and second vehicle data within a preset time after the vehicle fault event occurs.
Further, in the vehicle data acquisition system, the first vehicle data includes fault diagnosis positioning data acquired by a front camera, and the second vehicle data includes fault diagnosis positioning data acquired by a forward millimeter wave radar.
Further, in the vehicle data acquisition system, when a trigger event is detected, the VHR module is further configured to acquire sensing data acquired by the ADAS device and send the sensing data to the Tbox, and the Tbox uploads the acquired sensing data to a cloud.
Further, in the vehicle data acquisition system, an interface protocol between the Tbox and the VHR module is a home/IP protocol, and the VHR module serves as a Service provider of the home IP and transmits data to the Tbox in an Event manner.
The invention focuses on VHR data acquisition and uploading cloud in a vehicle end range, and the VHR acquires data of a front-view camera and a forward millimeter wave radar of a vehicle-mounted component and uploads the data to the cloud through a Tbox so as to be used for vehicle fault location and ADAS functional performance analysis. The invention can effectively record the vehicle information and the environmental information in time when the vehicle accident happens, and is convenient for the analysis of the problem after the accident and the optimization of the functional performance.
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FIG. 1 is an overall architecture diagram of a vehicle data collection provided by an embodiment of the present invention;
FIG. 2 is a flow chart of a vehicle data collection method provided by an embodiment of the present invention;
fig. 3 is a block diagram of a vehicle data acquisition system according to an embodiment of the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are illustrative only for the purpose of explaining the present invention, and are not to be construed as limiting the present invention.
These and other aspects of embodiments of the invention will be apparent with reference to the following description and attached drawings. In the description and drawings, particular embodiments of the invention have been disclosed in detail as being indicative of some of the ways in which the principles of the embodiments of the invention may be employed, but it is understood that the embodiments of the invention are not limited correspondingly in scope. On the contrary, the embodiments of the invention include all changes, modifications and equivalents coming within the spirit and terms of the claims appended hereto.
The vehicle data acquisition method in the embodiment of the invention is applied to an intelligent networked automobile, and as shown in fig. 1, the vehicle is provided with a Camera (front Camera), the Camera is connected with an MRR (forward millimeter wave radar) through a P-CAN, and a VHR module is arranged in the Camera. Referring to fig. 2, the vehicle data collection method includes steps S11 to S13.
And S11, acquiring a picture and first vehicle data of a vehicle in running in real time by the front-facing camera, acquiring second vehicle data uploaded by the forward millimeter wave radar through the P-CAN in real time, and storing the acquired picture, the first vehicle data and the second vehicle in a local storage space.
VHR data acquisition of the vehicle end is respectively carried out on Camera and MRR, and data acquired by the MRR are sent to Camera through P-CAN. The first vehicle data comprises fault diagnosis positioning data collected by a front camera. The second vehicle data includes fault diagnosis location type data collected by the forward millimeter wave radar.
Further, when the VHR module detects a trigger event, the VHR module also acquires the perception data collected by the ADAS device.
Generally, the data acquired by the VHR module is roughly divided into three types, the first type is photograph data of a trigger event, the second type is fault diagnosis positioning type data, and the third type is sensing data acquired by the ADAS device.
The vehicle is at the operation in-process, and the accident that appears vehicle collision, AEB function trigger and lead to the brake and appear and sharply add the acceleration and deceleration etc. the photo of the accident that needs the record mainly includes:
1) Key event snapshot data: the data recorded at the time of occurrence of the key event, such as the sensing result of the sensor, the operation of the driver, the self state of the vehicle, and the like, comprises the following data:
mileage and time information of the vehicle;
the actuator state (brake, accelerator, direction) of the vehicle, the operation state of the driver and the like;
triggered target information, such as distance, velocity, relative position and relative motion;
key data before and after the event are clicked, statistical information is obtained, and the like;
2) Picture of event occurrence: compressed pictures before and after the occurrence of the recorded event.
The fault diagnosis positioning data comprises a research and development positioning log, fault diagnosis and alarm data, internal fault positioning data, configuration calibration data and the like, and is mainly used for fault positioning and research and development problem analysis of vehicles.
The research and development positioning log is key information of each part recorded only in the running and operating processes of the vehicle, and comprises data such as a running data log, an operating data log, a fault log, a dead halt log and a reset log:
and (3) running a data log: in the running process of the vehicle, some key running information generated by each component records the working state of the components in the running process of the vehicle, such as the working state of a system, the functional state of software and the like; and the key task running conditions of each part of the vehicle, such as task starting, task suspension, task recovery, system quitting, restarting reset and the like;
operating the data log: the operation and maintenance personnel issue or set up the order (such as diagnosis, upgrade order) that the relevant automation task issues, user's login authentication: and the user accesses the operation records of login and logout, diagnosis of the operation and maintenance personnel to the vehicle, data configuration, calibration and the like.
Fault logging: internal fault information recorded by a component generated during operation of the vehicle;
and (3) halting and resetting the log: resetting of parts in the running process of the vehicle and recording of 'end-of-life' before crash.
The fault and diagnostic data refer to: fault data of the vehicle during operation and relevant warning information. The method mainly comprises the following steps:
in the running process of the vehicle, some abnormalities/faults of the sensor occur, such as the sensor is shielded, interfered, the function is abnormal to exit, the sensor is in fault, the communication is abnormal, and the like;
hardware and environment abnormalities of the sensor, such as over-temperature, under-voltage, etc.;
alarm data of the sensor comprises activity alarm information at the current moment;
configuring calibration data means: configuration parameters and calibration parameters related to a sensor before the vehicle leaves a factory, parameter calibration configuration of an ADAS function, and parameters such as function sensitivity setting and the like of a driver aiming at the ADAS function during vehicle operation;
the internal fault location data is mainly used for researching and developing memory variables and related dynamic variable data of location problems and used for researching and developing location and analysis of internal code level problems.
The perception data collected by the ADAS device refers to: and in a period of time (less than 20 s) before and after the occurrence of the key event, the sensor of the ADAS function senses cycle sampling data such as a target cycle result, a vehicle actuator and vehicle attitude signal, a regulation control function output control result and the like. The data is generally large (MB level/s), and is mainly used for restoring an event scene and replaying a positioning problem to improve KPI and experience.
And step S12, when the VHR module detects a trigger event, the VHR module extracts the specified information in the local storage space and uploads the acquired specified information to the Tbox through the Ethernet interface.
And S13, compressing the specified information sent by the VHR module into a VHR data file by the Tbox, and uploading the VHR data file to the cloud.
The triggering event refers to the condition that the vehicle senses a critical event scene, generates a critical event message and informs corresponding processing modules of Camera and MRR, and the event trigger comprises AEB trigger and vehicle fault event.
Vehicle fault events such as abnormal acceleration or deceleration of the vehicle (exceeding a threshold value)>5m/s 2 Calibratable), or a critical DTC code generation trigger.
When the trigger event is an AEB trigger event, the designated information comprises n photos at the trigger time in the local storage space, first vehicle data and second vehicle data within a preset time length after the AEB trigger event, and the n photos after the preset time length. The value of n is for example 1.
When the triggering event is a vehicle fault event, the specified information comprises first vehicle data and second vehicle data within a preset time length after the vehicle fault event occurs. And if the triggering event is a vehicle fault event, only the log dimensional measurement data acquisition and uploading of the sensor is triggered, and the VHR snapshot and the picture acquisition and uploading are not acquired.
The Tbox serves as an important interaction node of the cloud end and the vehicle end and is responsible for establishing connection with a communication channel of the vehicle cloud and the Camera and uploading the cached data file to the vehicle cloud.
Caching and processing the data files and Tbox reported by the VHR module, wherein the method needs to support:
1) And (3) classified storage of data files: allocating a cache space for the VHR data file, and respectively storing the reported key event data file, the diagnostic fault location log file and the ADAS data acquisition file in a classified manner according to the type of event reporting;
2) Data file processing: compressing and storing data files, encrypting key data and carrying out privacy security processing;
3) Uploading a data file: the management of uploading tasks of files, the control of uploading time and task priority are supported;
when the connection between the vehicle end and the cloud end network is abnormal, the vehicle end Tbox is required to be cached, and corresponding data is uploaded to the cloud end in time after the network is recovered normally.
The cloud end can process VHR data files uploaded by the Tbox according to business needs, and the VHR data files need to be processed according to different types of data at the cloud end.
For VHR data files, the classification is more, and the data processing is as follows:
1) The cloud end needs to present the state of the trigger moment of the restoration event, and the part of data needs to be subjected to data analysis by the cloud end and merged into a database;
2) Diagnosing fault data, and if data analysis service is carried at the cloud, if the fault statistics of the component is presented, analyzing the data by the cloud and merging the data into a database;
3) The data recorded by the log file is researched and developed, if the specific data analysis service and data presentation are not carried on the cloud, the data are more used for problem positioning analysis of research personnel, and the cloud does not need to analyze the log file and only needs to store and provide a downloading channel;
4) For the uploaded sensing data, a special tool is needed for playback and analysis, and the data is recommended to be stored according to a research and development log class and provide a downloading channel.
Furthermore, the interface protocol of the Tbox and the VHR module adopts a Some/IP protocol, the VHR module is used as a Service provider of the Some/IP, and data is transmitted to the Tbox in an Event mode.
The Some/IP between the Tbox and VHR modules may be based on TCP transmission, depending on the size of the data transmission.
Before the log is transmitted in the Event mode, both parts need to establish a Some/IP connection, someIP-SD communication is discovered through a SomeIP service, and 3 steps of Offerservice, subscription and ack confirmation are completed.
The process is as follows:
1) The VHR module is used as a Service provider (Server), after the success of power-on or dormancy awakening, the Offer Service is sent through multicast, the Offer Service comprises information of provided Request Service and VHR log Event Service, self IP and Port, and is mainly used for being accessed by the TBox node, and if the time is out, the Service is sent at an interval of 30 seconds until the success is achieved;
2) The TBox receives an Offer Service (VHR log), initiates subscription, and sends the subscription at an interval of 30 seconds if the subscription is overtime until the subscription is successful;
3) After receiving a subscription request of the TBox related to the VHR, the VHR module replies information to the TBox; if the Nack is the Nack, the service is cancelled;
4) After a triggering Event occurs and the VHR module prepares data, event notification is adopted in an Event mode to send specified information to the TBox;
5) For data packets sent by events, data transmission may be relatively large, the SomeIP messages are transmitted based on TCP, and for oversized data packets, the SomeIP TP fragmentation mode is adopted for transmission.
Tbox data interface processing:
before uploading the designated information, if the data volume is large, the VHR module needs to send the data in packets according to SomeIP TP fragments.
And after the Tbox receives the specified information of the Event from the VHR module, analyzing the data packet, removing the SomeIP header to obtain data payload, and storing the payload as a VHR data file of a corresponding type.
The Tbox caches files of corresponding types to corresponding directories according to the VHR data file types defined in the Event; meanwhile, data processing and compression of the cache file are started, and the file is controlled to be uploaded to the cloud end through a file uploading mechanism.
The embodiment focuses on VHR data acquisition and uploading cloud in the vehicle end range, and the VHR acquires data of a front-view camera and a forward millimeter wave radar of a vehicle-mounted component and uploads the data to the cloud through a Tbox so as to be used for vehicle fault location and ADAS functional performance analysis. The embodiment can timely and effectively record the vehicle information and the environmental information during the vehicle accident, and facilitates the analysis of the problem after the accident and the optimization of the functional performance.
Referring to fig. 3, a vehicle data acquisition system according to another embodiment of the present invention includes a front camera 10, a Tbox 40 and a cloud 50, wherein the front camera 10 is connected to a forward millimeter wave radar 20 through a P-CAN, and a VHR module 30 is disposed in the front camera 10,
the front-facing camera 10 is used for acquiring a picture and first vehicle data in the running process of a vehicle in real time, acquiring second vehicle data uploaded by the forward millimeter wave radar 20 through a P-CAN in real time, and storing the acquired picture, the first vehicle data and the second vehicle in a local storage space;
the VHR module 30 is configured to, when a trigger event is detected, extract the specific information in the local storage space, and upload the acquired specific information to the Tbox through an ethernet interface;
the Tbox 40 is configured to compress the specific information sent by the VHR module into a VHR data file, and upload the VHR data file to the cloud 50;
when the trigger event is an AEB trigger event, the designated information comprises n photos at the trigger time in the local storage space, first vehicle data and second vehicle data within a preset time length after the AEB trigger event, and the n photos after the preset time length.
Further, in the vehicle data acquisition system, when the trigger event is a vehicle fault event, the specific information includes first vehicle data and second vehicle data within a preset time after the vehicle fault event occurs.
Further, in the vehicle data acquisition system, the first vehicle data includes fault diagnosis positioning data acquired by a front camera, and the second vehicle data includes fault diagnosis positioning data acquired by a forward millimeter wave radar.
Further, in the vehicle data acquisition system, when a trigger event is detected, the VHR module is further configured to acquire sensing data acquired by the ADAS device and send the sensing data to the Tbox, and the Tbox uploads the acquired sensing data to a cloud.
Further, in the vehicle data acquisition system, an interface protocol between the Tbox and the VHR module is a home/IP protocol, and the VHR module serves as a Service provider of the home IP and transmits data to the Tbox in an Event manner.
The implementation principle and the generated technical effects of the vehicle data acquisition system provided by the embodiment of the invention are the same as those of the method embodiment, and for brief description, the corresponding contents in the method embodiment can be referred to where the device embodiment is not mentioned.
Those of skill in the art will understand that the logic and/or steps represented in the flowcharts or otherwise described herein, e.g., an ordered listing of executable instructions that can be viewed as implementing logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus (e.g., a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or execute the instructions). For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device.
More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following technologies, which are well known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A vehicle data acquisition method is characterized in that the vehicle is provided with a front camera which is connected with a forward millimeter wave radar through a P-CAN (controller area network), and a VHR (very high frequency response) module is arranged in the front camera, and the vehicle data acquisition method comprises the following steps:
the front-facing camera acquires a picture and first vehicle data of a vehicle in running in real time, acquires second vehicle data uploaded by the forward millimeter wave radar through the P-CAN in real time, and stores the acquired picture, the first vehicle data and the second vehicle in a local storage space;
when the VHR module detects a trigger event, the VHR module extracts the specified information in the local storage space and uploads the acquired specified information to the Tbox through an Ethernet interface;
the Tbox compresses the specified information sent by the VHR module into a VHR data file and uploads the VHR data file to the cloud;
when the trigger event is an AEB trigger event, the designated information comprises n photos at the trigger time in the local storage space, first vehicle data and second vehicle data within a preset time length after the AEB trigger event, and the n photos after the preset time length.
2. The vehicle data collection method according to claim 1, wherein when the triggering event is a vehicle failure event, the specified information includes first vehicle data and second vehicle data within a preset time period after the vehicle failure event occurs.
3. The vehicle data collection method of claim 1, wherein the first vehicle data comprises fault diagnosis location-type data collected by a front-facing camera, and the second vehicle data comprises fault diagnosis location-type data collected by a forward millimeter wave radar.
4. The vehicle data collection method according to claim 1, further comprising: when the VHR module detects a trigger event, the VHR module also acquires sensing data acquired by the ADAS device and sends the sensing data to the Tbox, and the Tbox uploads the acquired sensing data to the cloud.
5. The vehicle data acquisition method of claim 1, wherein an interface protocol between the Tbox and the VHR module adopts a sound/IP protocol, and the VHR module serves as a Service provider of SomeIP and transmits data to the Tbox in an Event manner.
6. A vehicle data acquisition system is characterized by comprising a front camera, wherein the front camera is connected with a front millimeter wave radar through a P-CAN, a VHR module is arranged in the front camera,
the front-facing camera is used for acquiring a picture and first vehicle data in the running process of a vehicle in real time, acquiring second vehicle data uploaded by the forward millimeter wave radar through a P-CAN in real time, and storing the acquired picture, the first vehicle data and the second vehicle in a local storage space;
the VHR module is used for extracting the specified information in the local storage space when a trigger event is detected, and uploading the acquired specified information to the Tbox through an Ethernet interface;
the Tbox is used for compressing the specified information sent by the VHR module into a VHR data file and uploading the VHR data file to a cloud end;
when the trigger event is an AEB trigger event, the specified information comprises n photos at the trigger moment in the local storage space, first vehicle data and second vehicle data within a preset time length after the AEB trigger event, and the n photos after the preset time length.
7. The vehicle data collection system of claim 6, wherein when the triggering event is a vehicle fault event, the specified information includes first vehicle data and second vehicle data within a preset time period after the vehicle fault event occurs.
8. The vehicle data collection system of claim 6, wherein the first vehicle data comprises front-facing camera collected fault diagnosis location-type data and the second vehicle data comprises forward millimeter wave radar collected fault diagnosis location-type data.
9. The vehicle data collection system of claim 6, wherein when a triggering event is detected, the VHR module is further configured to obtain perception data collected by an ADAS device and send the perception data to the Tbox, and the Tbox uploads the obtained perception data to a cloud.
10. The vehicle data acquisition system of claim 6, wherein the interface protocol between the Tbox and the VHR module adopts a sound/IP protocol, and the VHR module serves as a Service provider of SomeIP and transmits data to the Tbox in an Event manner.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115938013A (en) * | 2023-03-14 | 2023-04-07 | 禾多科技（北京）有限公司 | Method, apparatus, device and computer readable medium for monitoring data |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080281485A1 (en) * | 2007-05-08 | 2008-11-13 | James Plante | Distributed vehicle event recorder systems having a portable memory data transfer system |
| US20110047230A1 (en) * | 2006-11-17 | 2011-02-24 | Mcgee Steven J | Method / process / procedure to enable: The Heart Beacon Rainbow Force Tracking |
| CN107195024A (en) * | 2016-06-08 | 2017-09-22 | 南京航空航天大学 | Universal vehicle operation data record system and processing method |
| CN110606082A (en) * | 2019-09-25 | 2019-12-24 | 中国第一汽车股份有限公司 | Braking system, method and device based on automatic driving and vehicle |
| CN111552277A (en) * | 2020-05-29 | 2020-08-18 | 上海挚达科技发展有限公司 | Vehicle fault diagnosis method based on Internet of things |
| KR102149175B1 (en) * | 2019-12-13 | 2020-08-28 | 제주특별자치도 | Vehicle accident detection and emergency call service system based on data and method for processing thereof |
| CN111845728A (en) * | 2020-06-22 | 2020-10-30 | 福瑞泰克智能系统有限公司 | Driving assistance data acquisition method and system |
| CN111964922A (en) * | 2020-08-28 | 2020-11-20 | 福瑞泰克智能系统有限公司 | Intelligent driving vehicle test system |
| CN112158134A (en) * | 2020-09-23 | 2021-01-01 | 中国第一汽车股份有限公司 | Vehicle-to-rear vehicle road condition information prompting system and prompting method thereof |
| CN114066213A (en) * | 2021-11-11 | 2022-02-18 | 湖南湘江智能科技创新中心有限公司 | Method and device for supervising running of intelligent networked automobile |
-
2022
- 2022-07-22 CN CN202210866925.9A patent/CN115457677A/en active Pending
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20110047230A1 (en) * | 2006-11-17 | 2011-02-24 | Mcgee Steven J | Method / process / procedure to enable: The Heart Beacon Rainbow Force Tracking |
| US20080281485A1 (en) * | 2007-05-08 | 2008-11-13 | James Plante | Distributed vehicle event recorder systems having a portable memory data transfer system |
| CN107195024A (en) * | 2016-06-08 | 2017-09-22 | 南京航空航天大学 | Universal vehicle operation data record system and processing method |
| CN110606082A (en) * | 2019-09-25 | 2019-12-24 | 中国第一汽车股份有限公司 | Braking system, method and device based on automatic driving and vehicle |
| KR102149175B1 (en) * | 2019-12-13 | 2020-08-28 | 제주특별자치도 | Vehicle accident detection and emergency call service system based on data and method for processing thereof |
| CN111552277A (en) * | 2020-05-29 | 2020-08-18 | 上海挚达科技发展有限公司 | Vehicle fault diagnosis method based on Internet of things |
| CN111845728A (en) * | 2020-06-22 | 2020-10-30 | 福瑞泰克智能系统有限公司 | Driving assistance data acquisition method and system |
| CN111964922A (en) * | 2020-08-28 | 2020-11-20 | 福瑞泰克智能系统有限公司 | Intelligent driving vehicle test system |
| CN112158134A (en) * | 2020-09-23 | 2021-01-01 | 中国第一汽车股份有限公司 | Vehicle-to-rear vehicle road condition information prompting system and prompting method thereof |
| CN114066213A (en) * | 2021-11-11 | 2022-02-18 | 湖南湘江智能科技创新中心有限公司 | Method and device for supervising running of intelligent networked automobile |
Non-Patent Citations (1)
| Title |
|---|
| 吴佳骏: "面向自动驾驶的视觉与毫米波雷达融合感知定位方法研究与实现", 中国优秀硕士学位论文全文数据库 工程科技Ⅱ辑, no. 1, pages 035 - 505 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115938013A (en) * | 2023-03-14 | 2023-04-07 | 禾多科技（北京）有限公司 | Method, apparatus, device and computer readable medium for monitoring data |
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