CN110874093B - Method and system for predicting life of brake lining of vehicle and storage medium - Google Patents
Method and system for predicting life of brake lining of vehicle and storage medium Download PDFInfo
- Publication number
- CN110874093B CN110874093B CN201811018846.2A CN201811018846A CN110874093B CN 110874093 B CN110874093 B CN 110874093B CN 201811018846 A CN201811018846 A CN 201811018846A CN 110874093 B CN110874093 B CN 110874093B
- Authority
- CN
- China
- Prior art keywords
- vehicle
- brake lining
- life
- predicting
- script file
- Prior art date
- Legal status (The legal status 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 status listed.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0259—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the response to fault detection
- G05B23/0283—Predictive maintenance, e.g. involving the monitoring of a system and, based on the monitoring results, taking decisions on the maintenance schedule of the monitored system; Estimating remaining useful life [RUL]
Abstract
The invention relates to a method and a system for predicting the life of a brake lining of a vehicle and a storage medium. The method comprises the following steps: defining a script file of a service life prediction model of a vehicle brake lining; storing the service life prediction model script file of the brake lining at a vehicle end; acquiring vehicle operation data; and processing the vehicle running data according to the brake lining service life prediction model script file stored at the vehicle end to obtain the wear amount of the vehicle brake lining and obtain the service life prediction value of the vehicle brake lining according to the wear amount. By applying the method and the system, a user can acquire the service life health information of the vehicle brake lining in real time through the vehicle-mounted man-machine interaction system or the mobile terminal, the active safety of the vehicle is improved, and better use experience is brought to the user.
Description
Technical Field
The present invention relates to the field of vehicle technology, and more particularly, to a method and system for predicting the life of a brake pad of a vehicle and a storage medium.
Background
In general, the life of a vehicle brake pad refers to the amount of residual wear of the vehicle brake pad. As the user's demand for safety of the vehicle is higher, the demand for grasping the wear state of the brake lining of the vehicle is also stricter.
At present, a complete method for predicting the abrasion service life of the vehicle brake lining is not formed, and most of the industry relies on a mechanical alarm on the vehicle brake lining to be used as a basis for replacing a friction plate, or hardware devices such as a sensor are required to be additionally added to monitor the abrasion loss of the vehicle brake lining, and then higher cost investment is caused. In most civil vehicles, after the friction plates are almost completely worn, the brake fluid level drops greatly, the alarm triggers warning, and the warning function is not provided. In addition, some high-end vehicles employ sensors that sense friction plate thickness, however, the use of such sensors tends to increase cost and system complexity. For example, the prior art also has the problem of failing to make the user timely aware of the health of the service life of the brake lining of the vehicle.
Disclosure of Invention
Accordingly, the present invention is directed to a method and system for predicting the life of a brake pad of a vehicle and a storage medium that substantially obviates or mitigates one or more of the above-mentioned and other problems with the related art.
According to a first aspect of the present invention, there is provided a method for predicting the life of a vehicle brake pad, the method comprising the steps of:
defining a script file of a service life prediction model of a vehicle brake lining;
storing the script file of the brake lining service life prediction model at a vehicle end;
acquiring vehicle operation data; and
and processing the vehicle operation data according to the brake lining life prediction model script file stored at the vehicle end to obtain the wear amount of the vehicle brake lining and obtain the life prediction value of the vehicle brake lining according to the wear amount.
In the method for predicting the life of a brake lining of a vehicle according to the present invention, optionally, the method further comprises the steps of: and storing the brake lining life prediction model script file in a vehicle service cloud end, and downloading and storing the brake lining life prediction model script file from the vehicle service cloud end in the vehicle end.
In the method for predicting the service life of the brake lining of the vehicle according to the present invention, optionally, the brake lining service life prediction model script file is downloaded and stored in an in-vehicle infotainment system, a vehicle body control module, an electronic brake control module, a chassis domain control unit, a vehicle control unit or an electronic hydraulic brake system control unit at the vehicle end.
In the method for predicting the life of a brake lining of a vehicle according to the present invention, optionally, the method further comprises the steps of: uploading the obtained wear amount and life prediction value from the vehicle end to a vehicle service cloud end.
In the method for predicting the life of a brake lining of a vehicle according to the present invention, optionally, the method further comprises the steps of: and sending the wear loss and the service life predicted value stored in the vehicle service cloud end to a mobile terminal or a vehicle-mounted human-computer interaction system of the vehicle end.
In the method for predicting the life of a brake lining of a vehicle according to the present invention, optionally, the vehicle operation data includes a vehicle running speed, a vehicle running time, a vehicle acceleration, a vehicle running distance, a master cylinder pressure, and an ambient temperature.
In the method according to the invention for predicting the service life of a vehicle brake lining, the vehicle operating data are optionally obtained via a CAN bus.
In the method for predicting the life of a brake lining of a vehicle according to the present invention, optionally, the processing the vehicle operation data according to the brake lining life prediction model script file stored at the vehicle end includes:
calculating the vehicle running gradient and the braking energy according to the vehicle running data;
respectively calculating the temperature of the vehicle brake lining under the vehicle braking working condition, the driving working condition and the parking working condition according to the vehicle driving gradient, the braking energy and the characteristic parameters of the vehicle; and
the wear amount and the predicted life value of the vehicle brake lining are calculated from the wear characteristics of the vehicle brake lining and the calculated temperature of the vehicle brake lining.
Secondly, according to a second aspect of the present invention, there is provided a system for predicting vehicle brake lining life comprising a processor and a memory for storing instructions which, when executed by the processor, implement a method for predicting vehicle brake lining life as defined in any one of the above.
Further according to the third aspect of the invention, there is also provided a storage medium for storing instructions which, when executed, implement a method for predicting vehicle brake lining life as defined in any one of the above.
The steps, features, characteristics, advantages, etc. of the various aspects according to the present invention will be clearly understood from the following detailed description taken in conjunction with the accompanying drawings. For example, by adopting the technical scheme of the invention, the real-time prediction of the abrasion loss of the vehicle brake lining can be very conveniently and efficiently realized without adding extra hardware equipment, and the service life prediction of the vehicle brake lining is provided, so that a user can acquire the service life health information of the vehicle brake lining in real time through a vehicle-mounted man-machine interaction system or a mobile terminal, the active safety of the vehicle is improved, and better use experience is brought to the user. It will, of course, be understood that this description is given for the sake of example only, and that it should not be taken as limiting the scope of the invention.
Drawings
The invention will be described in further detail with reference to the drawings and examples, but it should be understood that the drawings are designed solely for purposes of illustration and are not necessarily drawn to scale.
FIG. 1 is a schematic diagram of the basic steps of an embodiment of a method for predicting the life of a vehicle brake pad according to the present invention.
FIG. 2 is a schematic flow diagram of another embodiment of a method for predicting the life of a vehicle brake pad according to the present invention.
Detailed Description
First, it should be noted that the method and system for predicting the life of a brake pad of a vehicle, and the steps, configurations, features, advantages of a storage medium, etc. of the present invention will be specifically described below by way of example, however, all the descriptions are for illustrative purposes only and should not be construed as forming any limitation of the present invention. Furthermore, any single feature described or implicit in an embodiment or any single feature shown or implicit in the drawings or shown or implicit in the drawings, may still allow any combination or permutation to continue between the features (or their equivalents) without any technical barriers and thus further embodiments according to the invention should also be considered within the scope of this disclosure.
Referring to fig. 1, a basic flow of an embodiment of a method for predicting the life of a brake lining of a vehicle according to the invention is schematically shown, which will first be described in detail below.
As shown in fig. 1, this method embodiment may include the steps of:
first, in step S11, a vehicle brake lining life prediction model script file, that is, a vehicle brake lining life calculation model, is defined, which is to be used in the subsequent step for analysis and obtaining a wear amount and life prediction value of the vehicle brake lining. By way of illustration, for the script file, the braking energy/heat energy during the vehicle operation can be obtained according to the vehicle operation data (such as the vehicle running speed, the vehicle running time, the vehicle acceleration, the vehicle running distance, the brake master cylinder pressure and the ambient temperature), and since the braking energy/heat energy is applied to the vehicle brake lining, the lining life estimation can be carried out according to the influence on the vehicle brake lining (such as the influence of the temperature rise on the wear amount and the service life of the vehicle brake lining, and such performance parameters can be obtained from the supplier of the vehicle brake lining, etc.). In constructing the above-described vehicle brake lining life calculation model, it may be done using a tool such as MATLAB. It is understood that the script file described above can be completely understood and implemented by those skilled in the art under the above design idea disclosed in the present invention. These technical contents will be discussed in more detail in the following by way of more examples.
Next, in step S12, the above-mentioned brake lining life prediction model script file may be stored at the vehicle end, for example, in an in-vehicle infotainment system, a vehicle body control module, an electronic brake control module, a chassis domain control unit, a vehicle control unit, an electronic hydraulic brake system control unit, or any other suitable device, unit, or apparatus at the vehicle end. Since different vehicle manufacturers may have different names for the modules, units or systems exemplarily indicated above, the present invention should be understood to cover the modules, units or systems identical, similar or analogous to the above modules, units or systems. In an alternative scenario, the present application proposes that a brake lining life prediction model script file may be innovatively stored in an in-vehicle infotainment system at the vehicle end, so that real-time data analysis may be performed by means of an underlying data analyzer in the in-vehicle infotainment system, so as to perform parsing according to the vehicle brake lining life prediction model script file to obtain a wear amount and life prediction value of a vehicle brake lining.
Next, in step S13, vehicle operation data is acquired, and such vehicle operation data may include, but is not limited to, vehicle travel speed, vehicle travel time, vehicle acceleration, vehicle travel distance, brake master cylinder pressure, ambient temperature. Such vehicle operation data may be obtained in real time, for example, via a CAN bus or the like.
Then, in step S14, the vehicle operation data is analyzed and processed according to the brake lining life prediction model script file stored at the vehicle end, which may be accomplished by a device, unit or apparatus at the vehicle end, such as the underlying data analyzer in the vehicle-mounted infotainment system discussed above, for example, so as to obtain the wear amount of the vehicle brake lining, and the life prediction value of the vehicle brake lining is estimated according to the obtained wear amount.
Further, in an alternative case, the following manner may be adopted in step S14 to specifically process the vehicle operation data according to the brake lining life prediction model script file:
firstly, the vehicle running gradient and the braking energy are calculated according to vehicle running data obtained through a CAN bus and the like;
then, respectively calculating the temperature of the vehicle brake lining under the vehicle braking condition, the driving condition and the parking condition according to the calculated vehicle driving gradient, the braking energy and the characteristic parameters of the vehicle (such as the rolling radius of a tire, the size of a brake, the friction coefficient of the vehicle brake lining and the like);
finally, the wear amount of the vehicle brake lining is calculated from the above calculated temperature of the vehicle brake lining and in combination with the wear characteristics of the vehicle brake lining (i.e. the characteristic relationship of the wear rate of the vehicle brake lining with the temperature of the vehicle brake lining at different decelerations, which may be obtained, for example, from the supplier of the vehicle brake lining, etc.), and the predicted value of the life of the vehicle brake lining is estimated from the obtained wear amount.
For another example, in some optional embodiments, the predicted wear amount and life value of the brake lining of the vehicle obtained above may be further uploaded from the vehicle end to the vehicle service cloud end, which may be implemented by, for example, operating a device, unit, or apparatus of the vehicle end such as an in-vehicle infotainment system, so that the vehicle service cloud end can continuously accumulate complete data information for use in large data analysis, data retrieval, and the like that may be needed in the future.
In addition, in some application occasions, the method also allows the abrasion loss and the service life predicted value stored in the vehicle service cloud to be further sent to a mobile terminal (such as a user mobile phone, a tablet personal computer and the like) to obtain a vehicle-mounted man-machine interaction system of the vehicle end, so that people can timely obtain the service life health condition of the vehicle brake lining, the problem that the data of the vehicle brake lining cannot be shared in real time in the prior art is solved, the active safety of the vehicle is favorably improved, and better experience is brought to users.
Referring again to fig. 2, a schematic flow chart of another embodiment of the method according to the present invention is illustrated. The statements made in the foregoing as to the technical contents of the preceding embodiment of the method according to the invention apply equally to this embodiment, unless otherwise specified herein, and reference is therefore made directly to the detailed description of the preceding portion, since these technical contents have been described in great detail in the foregoing.
In this embodiment, the brake lining life prediction model script file 3 is first stored in the vehicle service cloud 1, and then the brake lining life prediction model script file 3 may be downloaded from the vehicle service cloud 1 to the vehicle end 2, which may be based on a user, a vehicle maintenance person, or other person, etc. sending a corresponding download request at the vehicle end 2, for example, operating an operation interface of an in-vehicle infotainment system, etc. to send a download request signal, which may be transmitted to the vehicle service cloud 1 in any suitable wireless manner, for example, based on 3G, 4G, wi-Fi, etc., and the brake lining life prediction model script file 3 may also be downloaded to the vehicle end 2 in any suitable wireless manner. By adopting the above manner, the brake lining life prediction model script file 3 is very favorably updated and replaced at the vehicle service cloud end 1, and then the updated and replaced brake lining life prediction model script file 3 is downloaded and updated at a plurality of vehicle ends 2, such data interaction is quite convenient and efficient, so that the analysis and processing are performed on the basis of the brake lining life prediction model script file and the vehicle operation data through a vehicle-mounted infotainment system, a vehicle body control module, an electronic brake control module, a chassis domain control unit, a whole vehicle control unit, an electronic hydraulic brake system control unit or any other suitable device, unit or device 4 in the vehicle ends 2, and the wear loss and the life prediction value of the vehicle brake lining are obtained.
In view of the technical advantages of the method for predicting the service life of the vehicle brake lining, which are obviously superior to the prior art, the method effectively overcomes the defects and shortcomings in the prior art, particularly comprehensively integrates various technologies such as the modern data acquisition technology, the signal processing technology, the cloud platform technology, the data processing and calculation and the like, establishes a scheme for predicting the wear life of the vehicle brake lining, and completes the data calculation, interaction and service life prediction of the real-time wear amount of the vehicle brake lining without adding extra hardware, so that the real-time wear state and the like of the vehicle brake lining can be monitored in real time, replacement measures can be taken in time, and the method has important significance for improving user satisfaction, reducing cost, improving active safety of the vehicle and the like.
In addition, the present invention also provides a system for predicting the life of a brake lining of a vehicle, which comprises a processor and a memory, wherein the memory is used for storing instructions, and the instructions can realize the method for predicting the life of the brake lining of the vehicle according to the present invention, such as the method exemplarily described in connection with fig. 1 and fig. 2. In a specific embodiment, the processor and the memory may be disposed at the vehicle end and the vehicle service cloud end.
Finally, the invention also provides a storage medium for storing instructions which, when executed, are adapted to carry out a method for predicting the life of a vehicle brake lining according to the invention, such as described above with reference to fig. 1, 2.
The method and system for predicting the life of a brake pad of a vehicle and the storage medium according to the present invention have been described in detail above by way of example only, and these examples are provided only for illustrating the principles of the present invention and its embodiments, not for limiting the present invention, and various changes and modifications may be made by one skilled in the art without departing from the spirit and scope of the present invention. Accordingly, all equivalents are intended to be included within the scope of this invention and defined in the claims which follow.
Claims (10)
1. A method for predicting the life of a vehicle brake pad, the method comprising the steps of:
defining a script file of a service life prediction model of a vehicle brake lining;
storing the service life prediction model script file of the brake lining at a vehicle end;
acquiring vehicle operation data; and
and processing the vehicle operation data according to the brake lining life prediction model script file stored at the vehicle end to obtain the wear amount of the vehicle brake lining and obtain the life prediction value of the vehicle brake lining according to the wear amount.
2. A method for predicting vehicle brake lining life according to claim 1, wherein the method further comprises the steps of: and storing the brake lining life prediction model script file in a vehicle service cloud end, and downloading and storing the brake lining life prediction model script file from the vehicle service cloud end in the vehicle end.
3. The method for predicting vehicle brake lining life according to claim 2, wherein the brake lining life prediction model script file is downloaded and stored in an on-board infotainment system, a body control module, an electronic brake control module, a chassis domain control unit, a complete vehicle control unit, or an electro-hydraulic brake system control unit at the vehicle end.
4. A method for predicting vehicle brake lining life according to claim 1, wherein the method further comprises the steps of: uploading the obtained wear amount and life prediction value from the vehicle end to a vehicle service cloud end.
5. The method for predicting vehicle brake lining life according to claim 4, wherein the method further comprises the steps of: and sending the wear loss and the service life predicted value stored in the vehicle service cloud end to a mobile terminal or a vehicle-mounted human-computer interaction system of the vehicle end.
6. The method for predicting vehicle brake lining life according to any one of claims 1 to 5, wherein the vehicle operation data includes vehicle travel speed, vehicle travel time, vehicle acceleration, vehicle travel distance, master cylinder pressure, ambient temperature.
7. The method for predicting vehicle brake pad life according to claim 6, wherein the vehicle operation data is obtained via a CAN bus.
8. A method for predicting vehicle brake lining life according to any one of claims 1-5, wherein said processing the vehicle operating data according to the brake lining life prediction model script file stored on the vehicle side comprises:
calculating the vehicle running gradient and the braking energy according to the vehicle running data;
respectively calculating the temperature of the vehicle brake lining under the vehicle braking working condition, the driving working condition and the parking working condition according to the vehicle driving gradient, the braking energy and the characteristic parameters of the vehicle; and
the wear amount and the predicted life value of the vehicle brake lining are calculated from the wear characteristics of the vehicle brake lining and the calculated temperature of the vehicle brake lining.
9. A system for predicting vehicle brake lining life comprising a processor and a memory for storing instructions, wherein the instructions, when executed by the processor, implement a method for predicting vehicle brake lining life as defined in any one of claims 1-8.
10. A storage medium storing instructions that, when executed, implement a method for predicting vehicle brake lining life as defined in any one of claims 1 to 8.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811018846.2A CN110874093B (en) | 2018-09-03 | 2018-09-03 | Method and system for predicting life of brake lining of vehicle and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811018846.2A CN110874093B (en) | 2018-09-03 | 2018-09-03 | Method and system for predicting life of brake lining of vehicle and storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110874093A CN110874093A (en) | 2020-03-10 |
| CN110874093B true CN110874093B (en) | 2023-02-21 |
Family
ID=69716555
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811018846.2A Active CN110874093B (en) | 2018-09-03 | 2018-09-03 | Method and system for predicting life of brake lining of vehicle and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110874093B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114919558B (en) * | 2022-05-09 | 2023-05-30 | 中国第一汽车股份有限公司 | Wear monitoring method and device for friction shoe, electronic equipment and storage medium |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101349313A (en) * | 2007-03-27 | 2009-01-21 | 通用汽车环球科技运作公司 | Brake pad prognosis system |
| CN102800213A (en) * | 2012-08-27 | 2012-11-28 | 武汉大学 | Traffic-priority-based lane change danger collision avoiding method |
| CN106406296A (en) * | 2016-12-14 | 2017-02-15 | 东北大学 | Train fault diagnosis system and method based on vehicle and cloud |
| CN106602935A (en) * | 2015-10-14 | 2017-04-26 | 发那科株式会社 | Motor drive apparatus |
| CN107728929A (en) * | 2016-08-10 | 2018-02-23 | 先智云端数据股份有限公司 | Method for data protection in cloud service system |
| CN108045366A (en) * | 2017-12-07 | 2018-05-18 | 北京经纬恒润科技有限公司 | A kind of method and system for monitoring brake strip remaining life |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9003500B2 (en) * | 2009-03-13 | 2015-04-07 | Hti Ip, Llc | Method and system for facilitating synchronizing media content between a vehicle device and a user device |
| US9267806B2 (en) * | 2011-08-29 | 2016-02-23 | Bayerische Motoren Werke Aktiengesellschaft | System and method for automatically receiving geo-relevant information in a vehicle |
| US9280901B2 (en) * | 2013-03-25 | 2016-03-08 | E-Lead Electronic Co., Ltd. | Method for displaying the vehicle safety distance |
| US9841463B2 (en) * | 2014-02-27 | 2017-12-12 | Invently Automotive Inc. | Method and system for predicting energy consumption of a vehicle using a statistical model |
| US10328921B2 (en) * | 2016-01-25 | 2019-06-25 | Ford Global Technologies, Llc | Brake fade and brake capacity gauge |
-
2018
- 2018-09-03 CN CN201811018846.2A patent/CN110874093B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101349313A (en) * | 2007-03-27 | 2009-01-21 | 通用汽车环球科技运作公司 | Brake pad prognosis system |
| CN102800213A (en) * | 2012-08-27 | 2012-11-28 | 武汉大学 | Traffic-priority-based lane change danger collision avoiding method |
| CN106602935A (en) * | 2015-10-14 | 2017-04-26 | 发那科株式会社 | Motor drive apparatus |
| CN107728929A (en) * | 2016-08-10 | 2018-02-23 | 先智云端数据股份有限公司 | Method for data protection in cloud service system |
| CN106406296A (en) * | 2016-12-14 | 2017-02-15 | 东北大学 | Train fault diagnosis system and method based on vehicle and cloud |
| CN108045366A (en) * | 2017-12-07 | 2018-05-18 | 北京经纬恒润科技有限公司 | A kind of method and system for monitoring brake strip remaining life |
Non-Patent Citations (2)
| Title |
|---|
| 基于单车信息采集的车辆器材保障预测系统;戴书泉等;《军事交通学院学报》;20080915(第05期);全文 * |
| 汽车制动摩擦片寿命预测及分析;王素艳;《汽车零部件》;20160428(第04期);全文 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110874093A (en) | 2020-03-10 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10730352B2 (en) | System and method for tire wear prognostics | |
| US9846978B1 (en) | Remaining useful life estimation of vehicle component | |
| US9830749B2 (en) | Systems and methods for executing custom fleet vehicle management scripts | |
| CN105383416B (en) | Method and apparatus for activation and logging of event data records | |
| CN109094550B (en) | Method and device for monitoring a vehicle brake system | |
| CN106534366A (en) | Driving behavior analyzing method, device and system | |
| EP2954420B1 (en) | Context-rich communication between a device and a vehicle | |
| CN202870890U (en) | Logistic scheduling allocating analysis system based on Beidou satellite positioning | |
| CN105577755A (en) | Car networking terminal service system | |
| CN107526311A (en) | Vehicle external surface object detection | |
| CN102256382A (en) | Intelligent mobile vehicle-mounted terminal | |
| CN102045547A (en) | Internet of things-based vehicle-mounted front end device | |
| CN203485916U (en) | Vehicle-mounted driving auxiliary system based on Big Dipper/GPS dual-mode satellite positioning | |
| US20180232964A1 (en) | Vehicle component failure prevention | |
| CN105008875A (en) | Determining a remedial action for a motorized vehicle based on sensed vibration | |
| CN110874093B (en) | Method and system for predicting life of brake lining of vehicle and storage medium | |
| US11454967B2 (en) | Systems and methods for collecting vehicle data to train a machine learning model to identify a driving behavior or a vehicle issue | |
| DE102010004164A1 (en) | Driver behavior based remote vehicle misuse warning and self-maintenance | |
| US20210264693A1 (en) | Sensor apparatus and method for monitoring the driving-mode-dependent state of a vehicle | |
| CN108230719A (en) | Vehicle trouble treating method and apparatus, system | |
| CN107433904A (en) | Adaptive backsight is shown | |
| CN104590273A (en) | Safe driving system and method based on human body reactions | |
| US20170094231A1 (en) | Scene reconstruction using pre-buffering in sensor triggered automobile cameras | |
| US10783724B2 (en) | Vehicle data collection system and method | |
| US11263837B2 (en) | Automatic real-time detection of vehicular incidents |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |