CN112185144A - Traffic early warning method and system - Google Patents
Traffic early warning method and system Download PDFInfo
- Publication number
- CN112185144A CN112185144A CN201910585709.5A CN201910585709A CN112185144A CN 112185144 A CN112185144 A CN 112185144A CN 201910585709 A CN201910585709 A CN 201910585709A CN 112185144 A CN112185144 A CN 112185144A
- Authority
- CN
- China
- Prior art keywords
- vehicle
- driving
- road condition
- information
- data
- 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.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/0967—Systems involving transmission of highway information, e.g. weather, speed limits
-
- 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
- B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
-
- 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
- B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
- B60W40/02—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to ambient conditions
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Automation & Control Theory (AREA)
- Mathematical Physics (AREA)
- Transportation (AREA)
- Mechanical Engineering (AREA)
- Life Sciences & Earth Sciences (AREA)
- Atmospheric Sciences (AREA)
- Traffic Control Systems (AREA)
Abstract
The invention relates to a traffic early warning method, which comprises the following steps: collecting driving data of a vehicle; judging whether the vehicle runs abnormally according to the running data of the vehicle; under the condition that the vehicle is judged to be abnormally driven, sensing information of the surrounding environment of the vehicle is selectively acquired and processed according to the driving data; judging whether a road condition obstructing normal driving exists or not by combining the driving data and the sensing information of the vehicle; in the case where there is a road condition that impedes normal travel, the road condition information that impedes normal travel is transmitted to the interconnected vehicles. The invention further correspondingly provides a traffic early warning system. By the method and the system, the road conditions which obstruct normal driving are timely transmitted to the interconnected vehicles at a long distance, so that traffic accidents are reduced and traffic pressure is reduced. And moreover, the sensing information of the surrounding environment of the vehicle is selectively acquired and processed in a targeted manner according to the driving data, so that the data processing amount is small, and the judgment result is more accurate and reliable.
Description
Technical Field
The invention relates to the field of road traffic, in particular to a method and a system for realizing remote early warning on vehicles in road traffic, which are convenient for vehicles to plan routes and ensure traffic safety.
Background
The existing vehicles driven manually or automatically mostly rely on vehicle-mounted sensing devices such as cameras and radars to sense the environment and obstacles around the vehicles, so that the drivers are reminded or the obstacle avoidance is automatically completed.
The vehicle-mounted sensing device has a limited detection range, can only detect a short distance, and cannot acquire and analyze information of an environment outside the detection range of the sensing device. However, when an actual vehicle is driving on the road, the road conditions are usually complex, for example, an emergency traffic accident, or situations such as invisible slope and invisible curve, which still belong to a blind area for the driver of the vehicle, are caused. In other words, the vehicle cannot acquire the front traffic information and take measures in time only by means of the vehicle-mounted sensing device of the vehicle.
However, timely acquisition of the road conditions ahead (such as accidents, curves, congestion, earth construction, jolts, water accumulation, a large number of large transport vehicles and the like) is very helpful for making driving route planning or driving operations (such as braking, lane changing, overtaking and the like) as early as possible for the following vehicles, and is also very beneficial to dredging road traffic. Accordingly, it is desirable to provide a method and/or system that enables remote early warning of a vehicle.
Further, particularly on an expressway, accidents are easily caused by high-speed running, sudden deceleration, braking, lane changing and the like of the vehicle, so that the vehicle running on the expressway needs to be early warned remotely and take countermeasures as soon as possible.
An object of the present invention is to solve at least one of the above problems and disadvantages in the related art and other technical problems.
Disclosure of Invention
The invention provides a traffic early warning method, which comprises the following steps: collecting driving data of a vehicle; judging whether the vehicle runs abnormally according to the running data of the vehicle; selectively acquiring and processing sensing information of the surrounding environment of the vehicle according to driving data under the condition that the vehicle is judged to be abnormally driven; judging whether a road condition obstructing normal driving exists or not by combining the driving data of the vehicle and the sensing information; in the case where there is a road condition that impedes normal travel, the road condition information that impedes normal travel is transmitted to the interconnected vehicles.
Advantageously, the driving data of the vehicle includes a vehicle speed, a steering wheel angle and a steering direction, a vehicle driving direction, a wheel posture, a state of a lamp or a state of a wiper.
Advantageously, the step of determining whether the vehicle is running abnormally according to the vehicle speed includes: when the acceleration value of the vehicle speed is larger than a predetermined threshold value, it is determined that the driving abnormality has occurred.
Advantageously, the step of determining whether the vehicle is running abnormally according to the steering wheel angle includes: and when the steering wheel angle is larger than a preset steering wheel angle threshold value, judging that abnormal driving occurs.
Advantageously, the acquisition of the sensed information of the surroundings of the vehicle is realized by an onboard sensor.
Advantageously, the step of transmitting road condition information that impedes normal travel to the interconnected vehicles comprises: and sending the road condition information which hinders normal running to a cloud server, and acquiring information from the cloud server by the interconnected vehicle.
Advantageously, the step of transmitting road condition information that impedes normal travel to the interconnected vehicles comprises: road condition information that impedes normal travel is sent directly to the interconnected vehicles through the internet of vehicles.
Advantageously, the step of transmitting road condition information that impedes normal travel to the interconnected vehicles comprises: road condition information that impedes normal travel is sent to a roadside stationary device, and the road condition information is transmitted by the stationary device to an interconnected vehicle.
According to another aspect of the present invention, there is provided a traffic early warning system including an in-vehicle control unit provided on a vehicle and an in-vehicle sensor sensing a surrounding environment of the vehicle and transmitting sensed information into the in-vehicle control unit, wherein the in-vehicle control unit includes: the system comprises a data collection module, a driving abnormity judgment module, a road abnormity judgment module and a communication module, wherein the data collection module is used for collecting driving data of a vehicle; the abnormal driving judgment module judges whether the vehicle is abnormal in driving according to the driving data of the vehicle; a road abnormality determination module that selectively acquires and processes sensing information of a surrounding environment of the vehicle according to the driving data in a case where the driving abnormality determination module determines that the vehicle is abnormally driven, and determines whether or not there is a road condition that impedes normal driving in conjunction with the driving data of the vehicle and the sensing information; the communication module transmits a road condition that impedes normal travel to the interconnected vehicles when the road condition that impedes normal travel exists.
The invention has at least the following advantages and beneficial technical effects: in the traffic early warning method and the system, the abnormal driving of the vehicle is timely judged, whether the road abnormality exists is further judged, and the road condition which hinders the normal driving is timely transmitted to the interconnected vehicles, so that the driving route planning of the following vehicles is facilitated or other measures are taken, the traffic accidents are reduced, and the traffic pressure is reduced. Also, in the system and method, sensing information of the surroundings of the vehicle is selectively acquired and processed in a targeted manner according to the traveling data. Compared with a method for acquiring and processing sensing information of the surrounding environment all the time, the method has the advantages that the data processing amount is not required to be too large, the processing speed is high, the result of whether the road condition obstructing normal driving exists can be given out timely and rapidly, and the method is more targeted and more accurate and reliable in judgment result.
Drawings
Features and advantages of embodiments of the present invention will become apparent with reference to the accompanying drawings, in which fig. 1 shows a schematic flow chart of a traffic warning method according to an exemplary embodiment of the present invention; and is
Fig. 2 shows a schematic block architecture diagram of a traffic warning system according to an exemplary embodiment of the present invention.
Detailed Description
The technical scheme of the invention is further specifically described by the following embodiments and the accompanying drawings. The following description of the embodiments of the present invention with reference to the accompanying drawings is intended to explain the general inventive concept and should not be construed as limiting the invention.
Furthermore, in the following detailed description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the embodiments. It may be evident, however, that one or more embodiments may be practiced without these specific details.
Fig. 1 shows a schematic flow diagram of an exemplary long-distance traffic warning method. The traffic early warning method comprises the following steps: collecting driving data of the vehicle S01; judging whether the vehicle is abnormal according to the driving data of the vehicle S02; selectively acquiring and processing sensing information of a surrounding environment of the vehicle according to the traveling data S03 in a case where the vehicle traveling abnormality is determined; determining whether there is a road condition obstructing normal driving in combination with the driving data of the vehicle and the sensing information S04; in the case where there is a road condition that impedes normal running, the road condition that impedes normal running is transmitted to the interconnected vehicle S05.
As will be understood by those skilled in the art, the term "far distance" as used herein refers to a distance outside the detection range, relative to the range that the vehicle-mounted sensor can detect, which is the driver's line of sight or an area that is inaccessible to a typical vehicle-mounted sensor. But the meaning of "remote" will also be clear to the skilled person. For example, in urban road traffic, the distance may be small, while in highway traffic, the distance may be large. Remote traffic warnings make sharing of road condition information that impedes normal driving particularly meaningful.
Accordingly, as shown in fig. 2, the present invention also provides a long-distance traffic early warning system, which is disposed on a vehicle and includes an on-vehicle control unit disposed on the vehicle and an on-vehicle sensor that senses a surrounding environment of the vehicle and transmits sensed information to the on-vehicle control unit, wherein the on-vehicle control unit includes a data collection module, a driving abnormality determination module, a road abnormality determination module, and a communication module, wherein the data collection module is used for collecting driving data of the vehicle; the abnormal driving judgment module judges whether the vehicle is abnormal or not according to the driving data of the vehicle; the road abnormality determination module selectively acquires and processes sensing information according to the driving data in a case where the driving abnormality determination module determines that the vehicle is abnormally driven, and determines whether or not there is a road condition that impedes normal driving in conjunction with the driving data of the vehicle and the sensing information; the communication module transmits the road condition that impedes normal driving to the inter-connected vehicle, for example, transmits the road condition information to the device and then transmits the road condition information from the device to the inter-connected vehicle, or directly transmits the road condition information to the inter-connected vehicle, in the case where there is a road condition that impedes normal driving.
According to the traffic early warning method and the traffic early warning system, the abnormal driving of the vehicle is timely judged, whether the road abnormality exists is further judged, the road condition which hinders normal driving is timely transmitted to the interconnected vehicles, the driving route planning of the following vehicles is facilitated, other measures are taken, the traffic accidents are reduced, and the traffic pressure is reduced. Also, in the system and method, sensing information of the surroundings of the vehicle is selectively acquired and processed in a targeted manner according to the traveling data. Compared with the method and the system for acquiring and processing the sensing information of the surrounding environment all the time, the method and the system have the advantages that the data processing amount is not required to be large, the processing speed is high, the result of whether the road condition obstructing normal driving exists can be given out timely and rapidly, the pertinence is realized, and the judgment result is accurate and reliable.
As an example, the step of transmitting the road condition that impedes normal travel to the inter-connected vehicle includes, for example, transmitting the road condition information to a cloud server from which the inter-connected vehicle acquires information. In this way, it is possible to make the vehicle obtain information of the road condition at a long distance. This is particularly advantageous for vehicles travelling on highways.
Those skilled in the art will appreciate that the method of sharing the road condition information is not limited to transmitting the road condition information to the cloud server, and other V2X techniques may be employed, such as transmitting the road condition information directly to other vehicles, or to a fixed device beside the road, broadcasting by the fixed device, etc.
The driving data of the vehicle includes, for example, a vehicle speed, a steering wheel angle and a turning direction, a turning around state that is a change in a driving direction, a state of a lamp, a state of a wiper, and the like. Specifically, a change in the running data of the vehicle is reflected due to a change in the running state of the vehicle, such as slow passing of deceleration, sudden braking deceleration, temporary parking, lane change continued running, steering, turning on of a fog light, and the like.
For example, when a vehicle is braked or parked, the vehicle is determined to be abnormally driven according to a change in the vehicle speed, and then an image captured by the vehicle-mounted camera is processed to determine whether a situation such as a road block sign or a road defect occurs in front of the road.
As an example, in the case where a fog light or a wiper is turned on, for example, it is determined that a situation in which the vehicle is running abnormally has occurred, at this time, a determination is made based on data of an in-vehicle humidity sensor to determine whether it is rainy or whether a heavy fog weather has occurred, and after the determination result, the road situation is transmitted to the interconnected vehicles.
As an example, if, for example, it is determined from the driving data that the vehicle has changed lane, for example, to the right lane, only the road and environment information obtained from the vehicle-mounted sensor in the initial left lane need be processed in a targeted manner.
As can be seen from the above examples, by selectively acquiring and processing different sensing information according to the traveling data, it is made possible to accurately and quickly judge a specific road condition. Meanwhile, the data processing amount can be reduced, so that the response of the early warning system is timely and quick.
Wherein the step of judging whether the vehicle is running abnormally according to the vehicle speed includes judging that the running abnormality occurs when the acceleration value of the vehicle is greater than a predetermined threshold value.
The step of judging whether the vehicle runs abnormally according to the steering wheel angle comprises the following steps: and when the steering wheel angle is larger than a preset steering wheel angle threshold value, judging that abnormal driving occurs. At this time, by combining the turning angle and the steering direction of the steering wheel, only the sensing information of the camera on the corresponding side needs to be acquired and processed.
Those skilled in the art will appreciate that the vehicle-mounted sensor may take many forms, such as a camera, an acoustic sensor, a humidity sensor, etc., and may be configured as desired.
The vehicle can be an automatic driving vehicle or a non-automatic driving vehicle driven by a driver. The early warning method can be executed as long as the early warning system can be installed on a vehicle, and the long-distance traffic early warning function is realized.
Although a few embodiments of the present general inventive concept have been shown and described, it would be appreciated by those skilled in the art that changes may be made in these embodiments without departing from the principles and spirit of the general inventive concept, the scope of which is defined in the claims and their equivalents.
Claims (10)
1. A traffic warning method, the method comprising the steps of:
collecting driving data of the vehicle (S01);
judging whether the vehicle runs abnormally according to the running data of the vehicle (S02);
selectively acquiring and processing sensing information of a surrounding environment of the vehicle according to the driving data in a case where the driving abnormality of the vehicle is determined (S03);
determining whether a road condition that impedes normal driving exists in conjunction with the driving data of the vehicle and the sensing information (S04);
in the case where there is a road condition that impedes normal travel, the road condition information that impedes normal travel is transmitted to the interconnected vehicles (S05).
2. The method of claim 1, wherein the driving data of the vehicle comprises a vehicle speed, a steering wheel angle, a vehicle driving direction, a state of a vehicle light, or a state of a wiper.
3. The method according to claim 2, wherein the step of determining whether the vehicle is abnormally driven according to the vehicle speed includes:
when the acceleration value of the vehicle is larger than a predetermined threshold value, it is determined that the driving abnormality has occurred.
4. The method according to claim 2, wherein the step of determining whether the vehicle is running abnormally according to the steering wheel angle includes:
and when the steering wheel angle is larger than a preset steering wheel angle threshold value, judging that abnormal driving occurs.
5. The method according to any one of claims 1-4, wherein acquiring sensed information of the surroundings of the vehicle is carried out by an on-board sensor.
6. The method of claim 1, wherein the step of communicating road condition information that impedes normal travel to the interconnected vehicles comprises:
and sending the road condition information which hinders normal running to a cloud server, and acquiring information from the cloud server by the interconnected vehicle.
7. The method of claim 1, wherein the step of communicating road condition information that impedes normal travel to the interconnected vehicles comprises: road condition information that impedes normal travel is sent directly to the interconnected vehicles through the internet of vehicles.
8. The method of claim 1, wherein the step of transmitting road condition information that impedes normal travel to the interconnected vehicles comprises: road condition information that impedes normal travel is sent to a roadside stationary device, and the road condition information is transmitted by the stationary device to an interconnected vehicle.
9. The method of claim 1, wherein the vehicle is an autonomous vehicle.
10. A traffic early warning system comprising an in-vehicle control unit provided on a vehicle and an in-vehicle sensor that senses a surrounding environment of the vehicle and transmits sensed information into the in-vehicle control unit, wherein the in-vehicle control unit comprises:
the data collection module is used for collecting driving data of the vehicle;
the abnormal driving judgment module is used for judging whether the vehicle is abnormal in driving according to the driving data of the vehicle; and
a road abnormality determination module that selectively acquires and processes sensing information of a surrounding environment of the vehicle according to the driving data and determines whether there is a road condition that impedes normal driving in conjunction with the driving data of the vehicle and the sensing information, in a case where the driving abnormality determination module determines that the vehicle is abnormally driven;
and a communication module which transmits the road condition obstructing normal running to the interconnected vehicle when the road condition obstructing normal running exists.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910585709.5A CN112185144A (en) | 2019-07-01 | 2019-07-01 | Traffic early warning method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910585709.5A CN112185144A (en) | 2019-07-01 | 2019-07-01 | Traffic early warning method and system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112185144A true CN112185144A (en) | 2021-01-05 |
Family
ID=73914276
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910585709.5A Pending CN112185144A (en) | 2019-07-01 | 2019-07-01 | Traffic early warning method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112185144A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113096387A (en) * | 2021-03-22 | 2021-07-09 | 中国第一汽车股份有限公司 | Vehicle-mounted road surface monitoring and early warning method, system, terminal and storage medium |
| CN115359586A (en) * | 2022-09-01 | 2022-11-18 | 陕西省君凯电子科技有限公司 | Driving record management method and system |
| CN116153077A (en) * | 2023-03-31 | 2023-05-23 | 小米汽车科技有限公司 | Method, apparatus and medium for preventing transmission and display of travel information |
Citations (40)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101542554A (en) * | 2006-12-27 | 2009-09-23 | 丰田自动车株式会社 | Vehicle-installed obstacle detecting system and method |
| CN102785661A (en) * | 2012-08-20 | 2012-11-21 | 深圳先进技术研究院 | Lane departure control system and lane departure control method |
| CN102842244A (en) * | 2012-09-19 | 2012-12-26 | 奇瑞汽车股份有限公司 | Prewarning anti-collision device and method for vehicle |
| CN103080990A (en) * | 2011-06-07 | 2013-05-01 | 株式会社小松制作所 | Work vehicle vicinity monitoring device |
| CN103568953A (en) * | 2012-08-06 | 2014-02-12 | 现代摩比斯株式会社 | Around view monitor system and monitoring method |
| US20140191882A1 (en) * | 2011-03-09 | 2014-07-10 | Maya Varma | Intelligent Traffic Alerting and Control System |
| CN104732785A (en) * | 2015-01-09 | 2015-06-24 | 杭州好好开车科技有限公司 | Driving behavior analyzing and reminding method and system |
| CN104933863A (en) * | 2015-06-02 | 2015-09-23 | 福建工程学院 | Method and system for recognizing abnormal segment of traffic road |
| WO2016080744A1 (en) * | 2014-11-18 | 2016-05-26 | 주식회사 이노텍코리아 | Auxiliary traffic signal safety system |
| CN105644440A (en) * | 2015-12-28 | 2016-06-08 | 深圳市灵动飞扬科技有限公司 | Method and system for displaying driving state |
| CN105644441A (en) * | 2015-12-28 | 2016-06-08 | 深圳市灵动飞扬科技有限公司 | Method and system for reversing auxiliary display |
| US20160265931A1 (en) * | 2014-06-27 | 2016-09-15 | Google Inc. | Generating turn-by-turn direction previews |
| CN106355933A (en) * | 2016-09-05 | 2017-01-25 | 深圳市双赢伟业科技股份有限公司 | Vehicle networking method and apparatus |
| CN106537481A (en) * | 2014-08-07 | 2017-03-22 | 日立汽车系统株式会社 | Action planning device |
| CN106652559A (en) * | 2016-11-21 | 2017-05-10 | 深圳市元征软件开发有限公司 | Driving control method and apparatus |
| CN107016869A (en) * | 2017-05-03 | 2017-08-04 | 北京小米移动软件有限公司 | Reminding method, server and the system of traffic accident |
| CN107195199A (en) * | 2017-07-11 | 2017-09-22 | 珠海利安达智能科技有限公司 | Road safety early warning system and method |
| CN107331191A (en) * | 2017-08-15 | 2017-11-07 | 北京汽车集团有限公司 | Abnormal driving vehicle localization method, Cloud Server and system |
| WO2017203508A1 (en) * | 2016-05-26 | 2017-11-30 | Mattar Amir | System and method for traffic flow management using an adaptive lane system |
| CN107891813A (en) * | 2017-10-31 | 2018-04-10 | 北京新能源汽车股份有限公司 | A kind of control method of vehicle, device and automobile |
| CN108025751A (en) * | 2015-08-31 | 2018-05-11 | 日立汽车系统株式会社 | Controller of vehicle and vehicle control system |
| CN108470469A (en) * | 2018-03-12 | 2018-08-31 | 海信集团有限公司 | Road barrier method for early warning, device and terminal |
| CN108528433A (en) * | 2017-03-02 | 2018-09-14 | 比亚迪股份有限公司 | Vehicle travels autocontrol method and device |
| CN108564681A (en) * | 2018-04-17 | 2018-09-21 | 百度在线网络技术（北京）有限公司 | Data processing method, device, computing device, program product and storage medium |
| CN108886585A (en) * | 2017-01-25 | 2018-11-23 | 松下知识产权经营株式会社 | Ride Control System and driving control method |
| CN108922216A (en) * | 2018-06-22 | 2018-11-30 | 泉州创先力智能科技有限公司 | A kind of road monitoring method and system based on vehicle mounted guidance |
| CN109087533A (en) * | 2018-09-28 | 2018-12-25 | 盯盯拍（深圳）云技术有限公司 | Stop monitoring method, parking monitoring device and Monitor System of Stop |
| CN109151060A (en) * | 2018-09-28 | 2019-01-04 | 广州小鹏汽车科技有限公司 | A kind of road surface method for monitoring abnormality, device and computer readable storage medium |
| CN109278757A (en) * | 2018-10-25 | 2019-01-29 | 广州小鹏汽车科技有限公司 | Vehicle collision detection method and vehicle control system |
| CN109305166A (en) * | 2017-07-26 | 2019-02-05 | 上海汽车集团股份有限公司 | A kind of mistake proofing is stepped on the gas braking method and device |
| CN109448373A (en) * | 2018-11-09 | 2019-03-08 | 百度在线网络技术（北京）有限公司 | Method and apparatus for generating information |
| CN109606358A (en) * | 2018-12-12 | 2019-04-12 | 禾多科技（北京）有限公司 | Image collecting device and its acquisition method applied to intelligent driving automobile |
| CN109754326A (en) * | 2019-01-11 | 2019-05-14 | 福建工程学院 | A kind of fender-bender assists the method and system of quick setting loss |
| CN109792507A (en) * | 2016-09-30 | 2019-05-21 | 爱信精机株式会社 | Periphery monitoring apparatus |
| CN109785633A (en) * | 2019-03-14 | 2019-05-21 | 百度在线网络技术（北京）有限公司 | Dangerous road conditions based reminding method, device, car-mounted terminal, server and medium |
| CN109801511A (en) * | 2017-11-16 | 2019-05-24 | 华为技术有限公司 | A kind of anti-collision warning method and device |
| CN109859526A (en) * | 2019-01-18 | 2019-06-07 | 长安大学 | Objects ahead moving attitude of vehicle real-time observation device and method when one kind is overtaken other vehicles |
| CN109872530A (en) * | 2017-12-05 | 2019-06-11 | 广州腾讯科技有限公司 | A kind of generation method of traffic information, car-mounted terminal and server |
| CN109886088A (en) * | 2019-01-04 | 2019-06-14 | 郭柄言 | The determination method and Related product in congestion lane |
| CN109941265A (en) * | 2019-03-20 | 2019-06-28 | 王志伟 | Automobile electro-mechanical brake system |
-
2019
- 2019-07-01 CN CN201910585709.5A patent/CN112185144A/en active Pending
Patent Citations (40)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101542554A (en) * | 2006-12-27 | 2009-09-23 | 丰田自动车株式会社 | Vehicle-installed obstacle detecting system and method |
| US20140191882A1 (en) * | 2011-03-09 | 2014-07-10 | Maya Varma | Intelligent Traffic Alerting and Control System |
| CN103080990A (en) * | 2011-06-07 | 2013-05-01 | 株式会社小松制作所 | Work vehicle vicinity monitoring device |
| CN103568953A (en) * | 2012-08-06 | 2014-02-12 | 现代摩比斯株式会社 | Around view monitor system and monitoring method |
| CN102785661A (en) * | 2012-08-20 | 2012-11-21 | 深圳先进技术研究院 | Lane departure control system and lane departure control method |
| CN102842244A (en) * | 2012-09-19 | 2012-12-26 | 奇瑞汽车股份有限公司 | Prewarning anti-collision device and method for vehicle |
| US20160265931A1 (en) * | 2014-06-27 | 2016-09-15 | Google Inc. | Generating turn-by-turn direction previews |
| CN106537481A (en) * | 2014-08-07 | 2017-03-22 | 日立汽车系统株式会社 | Action planning device |
| WO2016080744A1 (en) * | 2014-11-18 | 2016-05-26 | 주식회사 이노텍코리아 | Auxiliary traffic signal safety system |
| CN104732785A (en) * | 2015-01-09 | 2015-06-24 | 杭州好好开车科技有限公司 | Driving behavior analyzing and reminding method and system |
| CN104933863A (en) * | 2015-06-02 | 2015-09-23 | 福建工程学院 | Method and system for recognizing abnormal segment of traffic road |
| CN108025751A (en) * | 2015-08-31 | 2018-05-11 | 日立汽车系统株式会社 | Controller of vehicle and vehicle control system |
| CN105644441A (en) * | 2015-12-28 | 2016-06-08 | 深圳市灵动飞扬科技有限公司 | Method and system for reversing auxiliary display |
| CN105644440A (en) * | 2015-12-28 | 2016-06-08 | 深圳市灵动飞扬科技有限公司 | Method and system for displaying driving state |
| WO2017203508A1 (en) * | 2016-05-26 | 2017-11-30 | Mattar Amir | System and method for traffic flow management using an adaptive lane system |
| CN106355933A (en) * | 2016-09-05 | 2017-01-25 | 深圳市双赢伟业科技股份有限公司 | Vehicle networking method and apparatus |
| CN109792507A (en) * | 2016-09-30 | 2019-05-21 | 爱信精机株式会社 | Periphery monitoring apparatus |
| CN106652559A (en) * | 2016-11-21 | 2017-05-10 | 深圳市元征软件开发有限公司 | Driving control method and apparatus |
| CN108886585A (en) * | 2017-01-25 | 2018-11-23 | 松下知识产权经营株式会社 | Ride Control System and driving control method |
| CN108528433A (en) * | 2017-03-02 | 2018-09-14 | 比亚迪股份有限公司 | Vehicle travels autocontrol method and device |
| CN107016869A (en) * | 2017-05-03 | 2017-08-04 | 北京小米移动软件有限公司 | Reminding method, server and the system of traffic accident |
| CN107195199A (en) * | 2017-07-11 | 2017-09-22 | 珠海利安达智能科技有限公司 | Road safety early warning system and method |
| CN109305166A (en) * | 2017-07-26 | 2019-02-05 | 上海汽车集团股份有限公司 | A kind of mistake proofing is stepped on the gas braking method and device |
| CN107331191A (en) * | 2017-08-15 | 2017-11-07 | 北京汽车集团有限公司 | Abnormal driving vehicle localization method, Cloud Server and system |
| CN107891813A (en) * | 2017-10-31 | 2018-04-10 | 北京新能源汽车股份有限公司 | A kind of control method of vehicle, device and automobile |
| CN109801511A (en) * | 2017-11-16 | 2019-05-24 | 华为技术有限公司 | A kind of anti-collision warning method and device |
| CN109872530A (en) * | 2017-12-05 | 2019-06-11 | 广州腾讯科技有限公司 | A kind of generation method of traffic information, car-mounted terminal and server |
| CN108470469A (en) * | 2018-03-12 | 2018-08-31 | 海信集团有限公司 | Road barrier method for early warning, device and terminal |
| CN108564681A (en) * | 2018-04-17 | 2018-09-21 | 百度在线网络技术（北京）有限公司 | Data processing method, device, computing device, program product and storage medium |
| CN108922216A (en) * | 2018-06-22 | 2018-11-30 | 泉州创先力智能科技有限公司 | A kind of road monitoring method and system based on vehicle mounted guidance |
| CN109151060A (en) * | 2018-09-28 | 2019-01-04 | 广州小鹏汽车科技有限公司 | A kind of road surface method for monitoring abnormality, device and computer readable storage medium |
| CN109087533A (en) * | 2018-09-28 | 2018-12-25 | 盯盯拍（深圳）云技术有限公司 | Stop monitoring method, parking monitoring device and Monitor System of Stop |
| CN109278757A (en) * | 2018-10-25 | 2019-01-29 | 广州小鹏汽车科技有限公司 | Vehicle collision detection method and vehicle control system |
| CN109448373A (en) * | 2018-11-09 | 2019-03-08 | 百度在线网络技术（北京）有限公司 | Method and apparatus for generating information |
| CN109606358A (en) * | 2018-12-12 | 2019-04-12 | 禾多科技（北京）有限公司 | Image collecting device and its acquisition method applied to intelligent driving automobile |
| CN109886088A (en) * | 2019-01-04 | 2019-06-14 | 郭柄言 | The determination method and Related product in congestion lane |
| CN109754326A (en) * | 2019-01-11 | 2019-05-14 | 福建工程学院 | A kind of fender-bender assists the method and system of quick setting loss |
| CN109859526A (en) * | 2019-01-18 | 2019-06-07 | 长安大学 | Objects ahead moving attitude of vehicle real-time observation device and method when one kind is overtaken other vehicles |
| CN109785633A (en) * | 2019-03-14 | 2019-05-21 | 百度在线网络技术（北京）有限公司 | Dangerous road conditions based reminding method, device, car-mounted terminal, server and medium |
| CN109941265A (en) * | 2019-03-20 | 2019-06-28 | 王志伟 | Automobile electro-mechanical brake system |
Non-Patent Citations (1)
| Title |
|---|
| 田景熙: "《物联网概论》", 31 July 2017 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113096387A (en) * | 2021-03-22 | 2021-07-09 | 中国第一汽车股份有限公司 | Vehicle-mounted road surface monitoring and early warning method, system, terminal and storage medium |
| CN115359586A (en) * | 2022-09-01 | 2022-11-18 | 陕西省君凯电子科技有限公司 | Driving record management method and system |
| CN116153077A (en) * | 2023-03-31 | 2023-05-23 | 小米汽车科技有限公司 | Method, apparatus and medium for preventing transmission and display of travel information |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US9896094B2 (en) | Collision avoidance control system and control method | |
| US10176720B2 (en) | Auto driving control system | |
| US9589464B2 (en) | Vehicular headlight warning system | |
| CN108454631B (en) | Information processing apparatus, information processing method, and recording medium | |
| US8180527B2 (en) | Driver assistance method | |
| US20170101097A1 (en) | Method for Producing a Model of the Surroundings of a Vehicle | |
| US20130057397A1 (en) | Method of operating a vehicle safety system | |
| US10262629B2 (en) | Display device | |
| JP2023010800A (en) | Display device | |
| CN201311715Y (en) | Tunnel exit safety early-warning system | |
| CN110053616B (en) | Vehicle driving assistance system and method | |
| JP7457080B2 (en) | Dangerous vehicle information collection method, dangerous vehicle information collection system, dangerous vehicle information collection program | |
| CN112185144A (en) | Traffic early warning method and system | |
| JPH11195196A (en) | On-vehicle information providing device | |
| JP2013020293A (en) | Vehicle control device | |
| KR101917827B1 (en) | Device for detecting offensive diriving | |
| WO2016058635A1 (en) | Systems and methods for traffic sign validation | |
| US10408937B2 (en) | Metal bridge detection systems and methods | |
| CN113853328A (en) | Method for operating a vehicle designed to be driven in an automated, in particular highly automated or autonomous manner | |
| US20210171032A1 (en) | Driving support system | |
| CN110580819A (en) | Method and device for operating an automated vehicle at an intersection | |
| CN116133920A (en) | Method for operating a dangerous parking warning system for a vehicle | |
| JP2004302622A (en) | Braking control device for vehicle | |
| EP4082855A1 (en) | Driving assistance device | |
| JP7202123B2 (en) | Vehicle stereo camera device |
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 | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20210105 |