CN100429101C - Safety monitoring system for running car and monitoring method - Google Patents
Safety monitoring system for running car and monitoring method Download PDFInfo
- Publication number
- CN100429101C CN100429101C CNB2005101167154A CN200510116715A CN100429101C CN 100429101 C CN100429101 C CN 100429101C CN B2005101167154 A CNB2005101167154 A CN B2005101167154A CN 200510116715 A CN200510116715 A CN 200510116715A CN 100429101 C CN100429101 C CN 100429101C
- Authority
- CN
- China
- Prior art keywords
- vehicle
- image
- threat
- car
- digital
- 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
- 238000000034 method Methods 0.000 title claims abstract description 33
- 238000012544 monitoring process Methods 0.000 title claims abstract description 19
- 238000012545 processing Methods 0.000 claims abstract description 89
- 230000000875 corresponding effect Effects 0.000 claims description 26
- 238000007781 pre-processing Methods 0.000 claims description 15
- 230000008569 process Effects 0.000 claims description 15
- 239000000284 extract Substances 0.000 claims description 11
- 238000004891 communication Methods 0.000 claims description 10
- 238000012937 correction Methods 0.000 claims description 6
- 230000000007 visual effect Effects 0.000 claims description 4
- 206010039203 Road traffic accident Diseases 0.000 claims description 3
- 230000009471 action Effects 0.000 claims description 3
- 238000009826 distribution Methods 0.000 claims description 2
- 238000013519 translation Methods 0.000 claims description 2
- 230000002265 prevention Effects 0.000 claims 7
- 238000001914 filtration Methods 0.000 claims 4
- 238000011946 reduction process Methods 0.000 claims 2
- 238000007664 blowing Methods 0.000 claims 1
- 230000009429 distress Effects 0.000 claims 1
- 238000005096 rolling process Methods 0.000 claims 1
- 230000000475 sunscreen effect Effects 0.000 claims 1
- 239000000516 sunscreening agent Substances 0.000 claims 1
- 230000000153 supplemental effect Effects 0.000 claims 1
- 238000010586 diagram Methods 0.000 description 6
- 230000033001 locomotion Effects 0.000 description 5
- 230000008859 change Effects 0.000 description 4
- 238000003708 edge detection Methods 0.000 description 4
- 238000009499 grossing Methods 0.000 description 4
- 238000010295 mobile communication Methods 0.000 description 4
- 238000005192 partition Methods 0.000 description 4
- 230000009467 reduction Effects 0.000 description 4
- 238000004364 calculation method Methods 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 238000004519 manufacturing process Methods 0.000 description 2
- 238000004091 panning Methods 0.000 description 2
- LFQSCWFLJHTTHZ-UHFFFAOYSA-N Ethanol Chemical compound CCO LFQSCWFLJHTTHZ-UHFFFAOYSA-N 0.000 description 1
- 208000027418 Wounds and injury Diseases 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 230000001276 controlling effect Effects 0.000 description 1
- 230000006378 damage Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000001066 destructive effect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 208000014674 injury Diseases 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 239000003550 marker Substances 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 238000007790 scraping Methods 0.000 description 1
Images
Landscapes
- Traffic Control Systems (AREA)
Abstract
本发明涉及一种汽车行驶安全监控系统及监控方法,该系统包括车载数字图像信息获取单元和车载嵌入式计算机平台,所述的车载嵌入式计算机平台设有系统图像处理与决策控制单元,所述的车载数字图像信息获取单元由其内置的数码摄像装置获取车辆周围的实景图像,并生成预处理数字图像信息送给所述系统图像处理与决策控制单元,所述系统图像处理与决策控制单元对所述预处理数字图像信号进行分析处理,生成威胁种类和威胁等级信号,当威胁种类和威胁等级到达告警标准时,向连接在总线上的声光告警装置发送告警指令,进行告警。本发明可以及时提醒驾驶员存在的威胁,极大地提供了行车的安全性。
The present invention relates to a vehicle driving safety monitoring system and monitoring method. The system includes a vehicle-mounted digital image information acquisition unit and a vehicle-mounted embedded computer platform. The vehicle-mounted embedded computer platform is provided with a system image processing and decision-making control unit. The vehicle-mounted digital image information acquisition unit acquires the real scene image around the vehicle by its built-in digital camera device, and generates pre-processed digital image information and sends it to the system image processing and decision-making control unit, and the system image processing and decision-making control unit The pre-processed digital image signal is analyzed and processed to generate threat type and threat level signals, and when the threat type and threat level reach the alarm standard, an alarm command is sent to the sound and light alarm device connected to the bus for alarm. The present invention can remind the driver of the threat in time and greatly improve the safety of driving.
Description
技术领域 technical field
本发明涉及一种汽车行驶安全监控系统及监控方法。The invention relates to a vehicle driving safety monitoring system and a monitoring method.
背景技术 Background technique
汽车的普及使人们的活动半径增大、生产生活节奏加快、办公效率提高,提高了人们的生活质量,现正越来越多地进入了普通人的家庭,并成为人们生产、生活领域须臾不可离开的重要交通运输工具。但是,随着汽车保有量的不断增加,当我们看到汽车在给人类带来巨大利益的同时,也要看到由于道路拥挤、汽车技术性能不完备,加上司机“超载行车、疲劳驾驶、酒后开车,超速、抢道、长时间占道行驶”等,或在对路况、地形不熟悉的情况下仍不提高警惕等原因所引发的“翻车、车撞车、车撞人”等恶性交通事故时有发生,确实酿成了许多人间悲剧。美国交通部提供的研究数据表明:在美国发生的机动车相撞事故中大约23%是由追尾事故引发的;戴姆勒-克莱斯勒汽车制造公司对50000起8吨以上重型卡车发生的交通意外进行了统计,其中有48469起是因为驾驶员精力不集中导致汽车偏离车道所致。汽车偏离自己的行车道以后,可能发生追尾、车-车侧撞、刮伤,也可能伤人或发生翻车事故,因而如何防止汽车偏离正常行车道、长时间占道、抢道以及超速行驶,必须引起人们的高度重视。为了减少追尾造成的损失,确保自身车辆的安全,人们在车的前后方安装了保险杠,在一定程度上减少了自身的损失,但这种方法是被动的,无法主动避免追尾;随着电子技术的发展,近年来有人发明了倒车告警装置等,但这装置一般是用在会车、泊车时,一般说来并不能有效解决追尾、侧撞等问题,至于能全面预防车-车相撞、人-车相撞、车-车侧碰/侧刮的技术至今尚未见到。The popularization of automobiles increases people's activity radius, accelerates the pace of production and life, improves office efficiency, and improves people's quality of life. Now it is increasingly entering the families of ordinary people and has become an indispensable part of people's production and life. Important means of transportation to leave. However, with the continuous increase of car ownership, when we see that cars bring huge benefits to mankind, we must also see that due to road congestion, incomplete technical performance of cars, and drivers' "overloaded driving, fatigue driving, Driving under the influence of alcohol, speeding, grabbing the road, and driving on the road for a long time", or "overturning, car crashing, car hitting people" and other vicious traffic caused by reasons such as "overturning, car crashing, car hitting people" caused by not being familiar with the road conditions and terrain Accidents happen from time to time, and they have indeed led to many human tragedies. Research data provided by the U.S. Department of Transportation shows that about 23% of motor vehicle collisions in the United States are caused by rear-end collisions; According to statistics, 48,469 of them were caused by the driver's inattention causing the car to deviate from the lane. After the car deviates from its own lane, there may be rear-end collisions, car-car side collisions, scratches, injuries or rollover accidents, so how to prevent cars from deviating from the normal lane, occupying the lane for a long time, grabbing the lane and speeding, People must pay great attention to it. In order to reduce the loss caused by rear-end collisions and ensure the safety of their own vehicles, people have installed bumpers at the front and rear of the car, which reduces their own losses to a certain extent, but this method is passive and cannot actively avoid rear-end collisions; With the development of technology, in recent years, some people have invented the reversing warning device, etc., but this device is generally used when meeting cars and parking, and generally speaking, it cannot effectively solve problems such as rear-end collisions and side collisions. The technology of colliding, people-vehicle collision, car-vehicle side collision/side scraping has not been seen so far.
发明内容 Contents of the invention
针对现有技术的缺陷,本发明的目的就是提供一种汽车行驶安全监控系统及监控方法,这种系统和方法,可以在行驶的车辆长时间偏离自己的行车道或存在发生交通事故的危险时,发出告警,以便提醒驾驶员。Aiming at the defects of the prior art, the object of the present invention is to provide a vehicle driving safety monitoring system and monitoring method. This system and method can be used when the vehicle that is driving deviates from its own lane for a long time or there is a danger of a traffic accident. , to send out an alarm to remind the driver.
为了实现本发明的目的,本发明采用如下技术方案:In order to realize the purpose of the present invention, the present invention adopts following technical scheme:
一种汽车行驶安全监控系统,包括车载数字图像信息获取单元和车载嵌入式计算机平台,以及通过总线与所述车载嵌入式计算机平台相接的声光告警装置,所述车载嵌入式计算机平台设有系统图像处理与决策控制单元,所述的车载数字图像信息获取单元由其内置的数码摄像装置获取车辆周围的实景图像,并生成预处理数字图像信息送给所述系统图像处理与决策控制单元,所述系统图像处理与决策控制单元对所述预处理数字图像信号进行分析处理,生成威胁种类和威胁等级信号,当威胁种类和威胁等级到达告警标准时,向所述声光告警装置发送告警指令,进行告警。A vehicle driving safety monitoring system, comprising a vehicle-mounted digital image information acquisition unit and a vehicle-mounted embedded computer platform, and an acousto-optic alarm device connected to the vehicle-mounted embedded computer platform through a bus, the vehicle-mounted embedded computer platform is equipped with The system image processing and decision-making control unit, the vehicle-mounted digital image information acquisition unit acquires the real scene image around the vehicle by its built-in digital camera device, and generates pre-processed digital image information and sends it to the system image processing and decision-making control unit, The system image processing and decision-making control unit analyzes and processes the pre-processed digital image signal to generate threat type and threat level signals, and when the threat type and threat level reach the alarm standard, send an alarm command to the sound and light alarm device, Make an alarm.
所述车载嵌入式计算机单元的总线可连接有车载显示器,所述系统图像处理与决策控制单元接收所述预处理数字图像信息后,生成矢量数字图像信息并发送至所述车载显示器显示。The bus of the vehicle-mounted embedded computer unit may be connected to a vehicle-mounted display, and the system image processing and decision-making control unit generates vector digital image information after receiving the pre-processed digital image information and sends it to the vehicle-mounted display for display.
所述车载嵌入式计算机单元的总线可连接车辆自身的一个或多个电控单元,所述系统图像处理与决策控制单元对其生成的威胁种类和等级信号进行判断,当威胁种类和威胁等级到达紧急避险自动控制标准时,向车辆相应的电控单元发送紧急避险自动控制指令,以控制车辆动作。The bus of the vehicle-mounted embedded computer unit can be connected to one or more electronic control units of the vehicle itself, and the system image processing and decision-making control unit judges the threat type and level signal generated by it. When the threat type and threat level reach When the emergency avoidance automatic control is standard, the emergency avoidance automatic control command is sent to the corresponding electronic control unit of the vehicle to control the movement of the vehicle.
所述车载嵌入式计算机单元的总线可连接有移动数字通信装置,所述系统图像处理与决策控制单元对其生成的威胁种类和等级信号进行判断,当威胁种类和威胁等级到达紧急求援标准时,向所述移动数字通信装置发出紧急求援指令,启动所述移动数字通信装置依照预订的方式发送紧急求援信号。The bus of the vehicle-mounted embedded computer unit can be connected with a mobile digital communication device, and the system image processing and decision-making control unit judges the threat type and level signal generated by it, and when the threat type and threat level reach the emergency call standard, send The mobile digital communication device sends out an emergency call for help command, and starts the mobile digital communication device to send an emergency call for help signal in a predetermined manner.
所述的车载数字图像信息获取单元可以由若干数码摄像装置、缓冲电路、数字图像预处理模块组成,所述若干数码摄像装置可以包括一架高性能自动变焦数码摄像机和若干个数码摄像头,所述高性能自动变焦数码摄像机和数码摄像头一般均应带有遮光防护罩,其中所述的高性能自动变焦数码摄像机通过防震支架被安置在汽车的正前端,而数码摄像头则通过防震支架固定分布在汽车的前面两侧、侧面及后面,所述的数字图像预处理模块主要由设有图像预处理模块的数字信号处理芯片组成,用于进行图像失真校正、平滑滤波降噪处理、图像增强与锐化处理、边沿检测处理,以有效滤除各种干扰、减少图像失真,由自动变焦数码摄像机和数码摄像头等数码摄像装置产生的原始图像信号,通过缓冲电路送到所述数字信号处理芯片的信号进行处理,生成高保真数字图像数据,然后通过CAN/LIN总线和串口RS-232送入车载嵌入式计算机平台的系统图像处理与决策控制单元做进一步处理。The vehicle-mounted digital image information acquisition unit can be composed of several digital cameras, buffer circuits, and digital image preprocessing modules, and the several digital cameras can include a high-performance automatic zoom digital camera and several digital cameras. The high-performance automatic zoom digital video camera and the digital video camera should generally have a shading shield, wherein the high-performance automatic zoom digital video camera is placed on the front end of the car through a shockproof bracket, and the digital camera is fixed and distributed in the car through a shockproof bracket. The front sides, sides and back of the front, the digital image preprocessing module is mainly composed of a digital signal processing chip with an image preprocessing module, which is used for image distortion correction, smoothing filter noise reduction processing, image enhancement and sharpening Processing, edge detection processing, in order to effectively filter out various interferences and reduce image distortion, the original image signals generated by digital camera devices such as automatic zoom digital cameras and digital cameras are sent to the digital signal processing chip through the buffer circuit. processing to generate high-fidelity digital image data, and then send it to the system image processing and decision-making control unit of the vehicle-mounted embedded computer platform through CAN/LIN bus and serial port RS-232 for further processing.
所述系统图像处理与决策控制单元可以包括视频图像主处理模块、图像显示控制模块、威胁优先级处理模块、系统决策控制模块,所述的视频图像主处理模块通过总线接收车载数字图像信息获取单元输出的预处理数字图像信息,处理后生成所述的矢量数字图像,并将该矢量数字图像信息分别送给图像显示控制模块和威胁优先级处理模块,以便进行图像显示和威胁种类和威胁等级判定,威胁优先级处理模块从矢量数字图像中提取威胁种类和威胁等级信息,并将该信息一路送至所述车载显示器进行威胁种类和威胁等级的显示,一路送至所述系统决策控制模块进行处理,所述系统决策控制模块将所述威胁种类和威胁等级数据同预设的威胁处理方案数据库的数据进行比较,生成与该威胁种类和威胁等级相应的所述告警、紧急避险自动控制和紧急求援指令。The system image processing and decision-making control unit may include a video image main processing module, an image display control module, a threat priority processing module, and a system decision-making control module. The video image main processing module receives the vehicle-mounted digital image information acquisition unit through the bus The output preprocessed digital image information is processed to generate the vector digital image, and the vector digital image information is sent to the image display control module and the threat priority processing module respectively, so as to perform image display and threat type and threat level judgment , the threat priority processing module extracts the threat type and threat level information from the vector digital image, and sends the information all the way to the vehicle display to display the threat type and threat level, and all the way to the system decision control module for processing , the system decision control module compares the threat type and threat level data with the data in the preset threat processing plan database, and generates the alarm, emergency avoidance automatic control and emergency response corresponding to the threat type and threat level Call for help.
所述的图像显示控制模块设有基于象素与屏幕尺寸关系的车载显示器分区控制程序和图像显示控制程序。在所述车载显示器分区控制程序的支持下,把车载显示器分为主显示区、威胁参数显示区、汽车图标显示区和触摸键盘显示区;在所述图像显示控制程序的支持下,对来自视频图像主处理模块与威胁优先级处理模块的输出数据信息进行识别和分类,将识别分类后的矢量数字图象数据送到车载显示器的主显区进行图象显示,将威胁优先级属性参数数据送到威胁参数显示区进行表格显示,或根据人机对话命令对所显示的图像进行无级缩放、平移、滚动、任意角度旋转和/或动态更新处理。The image display control module is provided with a vehicle-mounted display partition control program and an image display control program based on the relationship between pixels and screen size. With the support of the vehicle-mounted display partition control program, the vehicle-mounted display is divided into a main display area, a threat parameter display area, a car icon display area, and a touch keyboard display area; Identify and classify the output data information of the image main processing module and the threat priority processing module, send the identified and classified vector digital image data to the main display area of the vehicle display for image display, and send the threat priority attribute parameter data to Go to the threat parameter display area for table display, or perform stepless zooming, panning, scrolling, arbitrary angle rotation and/or dynamic update processing on the displayed image according to man-machine dialogue commands.
本系统还可以设有人机对话装置,所述人机对话装置与所述车载嵌入式计算机平台相互通信,向所述车载嵌入式计算机平台输入人工命令。作为一个优选的实施例,所述人机对话装置可以由一组软件触摸开关组成,这些软件触摸开关与所述车载显示器集成为一体,形成一个车载显示器和人机对话装置的组合。所述人机对话装置也可以采用其他触摸屏或键盘等。The system can also be provided with a man-machine dialogue device, which communicates with the vehicle-mounted embedded computer platform and inputs manual commands to the vehicle-mounted embedded computer platform. As a preferred embodiment, the man-machine dialogue device may be composed of a group of software touch switches, and these software touch switches are integrated with the vehicle display to form a combination of a vehicle display and a man-machine dialogue device. The man-machine dialogue device can also use other touch screens or keyboards.
一种汽车行驶安全监控系统的监控方法,该方法包括如下几个主要步骤:A monitoring method for a vehicle driving safety monitoring system, the method includes the following main steps:
(1)用系统的车载数码摄像装置获取车辆周围道路等的实景图像并进行预处理,得出车辆周围实景的高保真数字图象;(1) Acquire real-scene images of roads around the vehicle with the system's on-board digital camera device and perform preprocessing to obtain high-fidelity digital images of the real scene around the vehicle;
(2)将车辆周围的实景高保真数字进行主处理,得出本车周围的矢量数字图像;(2) Mainly process the high-fidelity real-scene figures around the vehicle to obtain vector digital images around the vehicle;
(3)从所述本车周围的矢量数据图像中提取出车道线、周围其他车辆或障碍物等目标与本车的相对位置信息,以本车边沿离周围目标种类以及距目标图像边沿的距离大小为判据,对该车目前的安全性给出种类和等级描述;(3) From the vector data images around the vehicle, extract the relative position information of the lane line, other vehicles or obstacles around the target and the vehicle, and use the distance between the edge of the vehicle and the type of the surrounding objects and the edge of the target image The size is the criterion, and the type and level description of the current safety of the vehicle is given;
(4)在出现威胁的情况下,根据威胁种类和威胁等级进行相应的告警、紧急自动避险控制和/或紧急求援。(4) In the event of a threat, perform corresponding alarms, emergency automatic avoidance control and/or emergency help according to the threat type and threat level.
所述步骤(1)的具体过程主要是:The concrete process of described step (1) mainly is:
(1.1)采用车载数码摄像装置获取本车周围包括车道边界线、前后车辆、以及其他行车标志在内的目标景物的原始图象;(1.1) Adopt the vehicle-mounted digital camera device to obtain the original image of the target scene including the lane boundary line, front and rear vehicles, and other driving signs around the vehicle;
(1.2)对目标景物的原始图象进行处理,包括图像失真校正、平滑滤波降噪处理、图像增强与锐化处理、边沿检测处理等,以有效滤除各种干扰,减少图像失真,得出车辆周围实景的高保真数字图象。(1.2) Process the original image of the target scene, including image distortion correction, smoothing filter noise reduction processing, image enhancement and sharpening processing, edge detection processing, etc., to effectively filter out various interferences and reduce image distortion. A high-fidelity digital image of the real scene around the vehicle.
所述步骤(3)的具体过程主要是:The concrete process of described step (3) mainly is:
(3.1)从车辆周围目标的矢量数字图像中提取并计算出车道线、周围其他车辆或障碍物等目标的边沿与本车边沿之间的距离,并以此为判据,对该车目前的威胁种类和威胁等级给出定量描述;(3.1) Extract and calculate the distance between the edge of the lane line, other surrounding vehicles or obstacles and the edge of the vehicle from the vector digital image of the target around the vehicle, and use this as a criterion to determine the current position of the vehicle Threat categories and threat levels are given a quantitative description;
(3.2)对照预设的威胁处理方案数据库,判断在本车目前所处的威胁种类和威胁等级下,是否需要进行告警、紧急避险自动控制和/或紧急求援,如需要,发出相应的指令,控制相应的装置做相应的动作,其中所述告警、紧急避险自动控制和紧急求援采用下列方式进行:(3.2) Comparing with the preset threat processing plan database, judge whether it is necessary to carry out alarm, emergency avoidance automatic control and/or emergency help under the current threat type and threat level of the vehicle, and issue corresponding instructions if necessary , control the corresponding device to do the corresponding action, wherein the alarm, automatic control of emergency avoidance and emergency call for help are carried out in the following ways:
(a)向车载显示器发送威胁种类和威胁等级显示指令,由车载显示器显示出威胁种类和威胁等级信息;(a) Send threat type and threat level display instructions to the on-board display, and the threat type and threat level information will be displayed by the on-board display;
(b)向车辆自身的相应电控单元发出紧急避险自动控制指令,通过电控单元控制车辆做相应的紧急避险动作;(b) Send an emergency avoidance automatic control command to the corresponding electronic control unit of the vehicle itself, and control the vehicle to perform corresponding emergency avoidance actions through the electronic control unit;
(c)向移动数字通信装置发送紧急求援指令,启动移动数字通信装置依照预设的方式向外界(例如,公安交通管理中心)发出紧急求援信号。(c) Send an emergency call instruction to the mobile digital communication device, and activate the mobile digital communication device to send an emergency call signal to the outside world (for example, the public security traffic management center) according to a preset method.
由于本发明可以通过系统的自动处理,在长时间偏离自己的行车道、或临近由其他车辆或障碍物的情况下,可以自动告警,并将威胁显示在显示器上,可以使驾驶员避开危险,有效地避免因驾驶员疏忽造成的事故,同时在必要时还可以自动控制车辆进行紧急避险,并自动发出紧急求援信号,使出现事故的可能性降得更低。Due to the automatic processing of the system, the present invention can automatically warn and display the threat on the display when it deviates from its own driving lane for a long time, or is approached by other vehicles or obstacles, so that the driver can avoid the danger , to effectively avoid accidents caused by driver negligence, and at the same time, when necessary, it can automatically control the vehicle for emergency avoidance, and automatically send out an emergency signal to reduce the possibility of accidents.
附图说明 Description of drawings
图1是本发明系统一个实施例的简化示意图;Figure 1 is a simplified schematic diagram of an embodiment of the system of the present invention;
图2是本发明系统的另一个实施例的示意图;Figure 2 is a schematic diagram of another embodiment of the system of the present invention;
图3是本发明系统数码摄像装置的一种安装位置的示意图;Fig. 3 is a schematic diagram of an installation position of the system digital camera device of the present invention;
图4是本发明系统图像处理与决策控制单元的组成方框图;Fig. 4 is the composition block diagram of system image processing and decision-making control unit of the present invention;
图5是在动态坐标系下威胁判别参量的计算示意图;Fig. 5 is a schematic diagram of calculation of threat discrimination parameters in the dynamic coordinate system;
图6是系统制定控制决策的过程详细流程图。Fig. 6 is a detailed flow chart of the process of making control decisions by the system.
具体实施方式 Detailed ways
参见图1和图2,所述车载数字图像信息获取单元1包括其内置的数码摄像装置,所述数码摄像装置获取车辆周围的实景图像,经预处理后通过总线送给所述系统图像处理与决策控制单元5进行处理,从中提取出周围目标(例如车道线、周围其他车辆或障碍物等限制或妨碍车辆行驶的目标)与本车的相对位置信息,并以此为判据对本车所受威胁等级进行判定、继而据此制定出控制决策,发出相应的指令,由所述车载嵌入式计算机平台2分别将决策结果(指令或信息)通过控制总线交给所述车载显示器3、声光告警装置6、电控单元7或车载数字移动通信装置8,或进行威胁等级显示、或发出声光告警,或通过一组电控单元迅速改变汽车的运动状态,以便使本车迅速脱离危险区;需要时,所述系统决策控制模块将通过车载嵌入式计算机平台直接控制车载数字移动通信装置向交管中心发出请求支援信息。Referring to Fig. 1 and Fig. 2, described vehicle-mounted digital image
参见图3,所述数码摄像机自动变焦数码摄像机及数码摄像头在汽车上的分布方式应保证获得本车周围的完整图像,图2所示的实施例设有一个高性能自动变焦数码摄像机,安装在车辆的正前端,这是影响车辆行驶(或危险来源)的主要方向,5个成本低廉的数码摄像头1.2、1.3、1.4、1.5和1.6分布在车的周围。Referring to Fig. 3, the distribution mode of described digital camera automatic zoom digital video camera and digital camera on the car should guarantee to obtain the complete image around this car, the embodiment shown in Fig. 2 is provided with a high-performance automatic zoom digital video camera, is installed in The front end of the vehicle, which is the main direction that affects the driving of the vehicle (or sources of danger), five low-cost digital cameras 1.2, 1.3, 1.4, 1.5 and 1.6 are distributed around the car.
由于对行车进行安全监控需要信息支援,考虑到图像信息容易获得,而且造价便宜,所以本发明以道路的图像作为信息源。优选的,所述车载数字图像信息获取单元1可以由一架高性能自动变焦数码摄像机、若干数码摄像头、缓冲电路、数字图像信号预处模块构成,自动变焦数码摄像机和数码摄像头都带有遮光防护罩;自动变焦数码摄像机通过防震支架被安置在汽车的前端,而数码摄像头则通过防震支架,分别被固定在汽车的前面、侧面及后面;数字图像预处理模块由专用数字信号处理芯片,该芯片设有一组图像预处理模块软件,用于进行图像失真校正、平滑滤波降噪处理、图像增强与锐化处理、边沿检测处理等处理,其作用是有效滤除各种干扰、减少图像失真,以便为安全监控提供更准确、可靠的依据。Since the safety monitoring of driving requires information support, considering that the image information is easy to obtain and the cost is cheap, the present invention uses the image of the road as the information source. Preferably, the vehicle-mounted digital image
由自动变焦数码摄像机和数码摄像头等数码摄像装置送来的原始图像信号,通过缓冲电路送到所述数字信号处理芯片的信号输入端,交由所述数字图像预处理模块进行处理,以得出高保真数字图像数据,然后通过控制总线CAN/LIN和串口RS-232送给车载嵌入式计算机平台的视频图像主处理模块做进一步处理。顺便提及,对原始图像进行预处理是非常必要的,这是因为,虽然以图像为信息源较简单、便宜,但由于摄像头与目标的位置关系易带来失真、热噪声、光污染以及其他干扰,这些因素有时是很严重的,因而必须先把这些无用乃至破坏性的信息去掉,这就是为什么先要进行预处理的原因。The original image signals sent by digital camera devices such as automatic zoom digital cameras and digital cameras are sent to the signal input end of the digital signal processing chip through the buffer circuit, and are processed by the digital image preprocessing module to obtain The high-fidelity digital image data is then sent to the main video image processing module of the vehicle-mounted embedded computer platform through the control bus CAN/LIN and the serial port RS-232 for further processing. By the way, it is very necessary to preprocess the original image because, although it is simpler and cheaper to use the image as the information source, it is easy to cause distortion, thermal noise, light pollution and other interference due to the positional relationship between the camera and the target , these factors are sometimes very serious, so these useless and even destructive information must be removed first, which is why preprocessing is required first.
参见图4,在系统图像处理与决策控制单元中,数字信号处理芯片5受系统工作协调服务软件的协调控制,包括视频图像主处理模块5.1、图像显示控制模块5.2、威胁优先级处理模块5.3、系统决策控制模块5.4,所述视频图像主处理模块5.1通过总线接收车载数字图像信息获取单元1输出的预处理图像信息,经其处理得出本车周围的矢量数字图像后,分别送给图像显示控制模块5.2和威胁优先级处理模块5.3进行图像显示和威胁种类和威胁等级的判定处理,当威胁优先级处理模块5.3从矢量数字图像中提取出威胁等级信息后,一路送车载显示器3进行威胁等级显示,一路送给所述系统决策控制模块5.4进行处理,并根据威胁等级制定出系统的控制决策,发出相应的指令。Referring to Fig. 4, in the system image processing and decision-making control unit, the digital
决策实现的过程是:通过车载嵌入式计算机平台1将系统决策控制模块5.4输出的控制信息,通过控制总线交给所述车载显示器3、声光告警装置6、各有关的电控单元7或车载数字移动通信装置,或进行威胁等级显示、或发出声光告警,或通过一组电控单元(使控制机械装置刹车、改变行驶方向及行车速度)迅速改变汽车的运动状态,以便使本车迅速脱离危险区。需要时,系统决策控制模块5.4将通过车载嵌入式计算机平台1直接控制车载数字移动通信装置8向交管中心发出请求支援信息。The process of decision-making realization is: through the vehicle-mounted embedded
所述车载显示器3采用分区显示的方式显示不同的内容,这样有利于观察。所述车载显示器分区包括主显区、威胁等级属性及威胁图标显示区、汽车图标显示区和触摸键盘显示区,主显区以背景方式显示道路的矢量数字图像,威胁等级属性及威胁图标显示区以表格叠加方式显示威胁等级属性参数(威胁种类和威胁等级等),汽车图标显示区以增辉叠加方式把汽车图标显示在背景图象上(主显区下方中央),触摸键盘显示区集成有触摸屏,用以进行人机对话,这样用可以减少车载显示器的数量。作为一个优选的实施方式,主显区位于车载显示器的右方,面积约占全屏幕的2/3,威胁参数显示区位于车载显示器的左上角,面积约占全屏幕的1/6,汽车图标显示区位于主显区之内,其面积大小由图标而定,触摸键盘显示区位于车载显示器的右下角,面积约占全屏幕的1/6。The on-
图像的显示主要由图像显示控制模块5.2完成,它设有一基于象素与屏幕尺寸关系构建的图像显示控制专用程序,用于对车载显示器分区和对图像显示控制处理程序。其实施方式为,首先建立显示坐标系,即以车载显示器屏幕的左上角为坐标原点,根据车载显示器的屏幕大小,用象素与屏幕尺寸的对应关系,得出满幅显示所需的象素数及每行/列应有的象素数;然后根据上述规定在不同位置对屏幕进行开窗,并分别命名为所述的显示区。所谓显示处理与控制,首先是基于同样的方法(把各区视为一个小车载显示器),把要显示的内容送往该区域,如果需要,就用象素尺寸处理、页面处理和数据更新技术,对所显示的内容进行无级缩放、平移、滚动、任意角度旋转、动态更新等。该软件接收的数据是视频图像主处理模块5.1与威胁优先级处理模块5.3输出的信息;所述的图像显示控制处理软件,将送显的图像数字信息进行识别、分类,并将已识别分类后的道路矢量数字图象数据送到主显区进行图象显示,将威胁优先级属性参数数据送到威胁参数显示区,进行表格显示,在人机对话或所述系统工作协调服务软件的控制下,所述图像显示控制处理软件视频图像主处理模块还可以对于主显区所显示的内容进行无级缩放、平移、滚动、任意角度旋转、动态更新处理等,满足不同的显示要求,以方便司机观察路况图像。The display of the image is mainly completed by the image display control module 5.2, which is provided with a special program for image display control based on the relationship between pixels and screen size, which is used to partition the vehicle display and control the image display. Its implementation is as follows: First, establish a display coordinate system, that is, take the upper left corner of the vehicle display screen as the coordinate origin, and use the corresponding relationship between pixels and screen sizes according to the screen size of the vehicle display to obtain the pixels required for full-scale display. and the number of pixels that each row/column should have; then, according to the above-mentioned regulations, open windows at different positions on the screen, and name them respectively as the display areas. The so-called display processing and control are at first based on the same method (regarding each district as a small vehicle display), sending the content to be displayed to this district, and if necessary, using pixel size processing, page processing and data update technology, Perform stepless zooming, panning, scrolling, rotation at any angle, dynamic update, etc. on the displayed content. The data received by the software is the information output by the video image main processing module 5.1 and the threat priority processing module 5.3; the image display control processing software will identify and classify the image digital information sent for display, and after the identification and classification The road vector digital image data is sent to the main display area for image display, and the threat priority attribute parameter data is sent to the threat parameter display area for table display, under the control of the man-machine dialogue or the system work coordination service software The video image main processing module of the image display control processing software can also perform stepless zooming, translation, scrolling, rotation at any angle, dynamic update processing, etc. for the content displayed in the main display area, so as to meet different display requirements and facilitate drivers. Observe the traffic image.
作为执行控制决策的组成部分,电控单元组电控单元也是一重要组成部分,因此有必要做点介绍。这里,电控单元组电控单元7主要包括制动电控单元、牵引力电控单元、自动变速电控单元、电子动力转向电控单元,它们在系统工作协调服务软件的协调下,由所述车载嵌入式计算机平台通过系统控制总线,直接把所述系统决策控制模块输出的控制信息,送到每个电控单元的控制信息处理器进行处理,生成与其对应受控机械装置所需的控制信号使其产生相应的动作,改变汽车的运动状态和运动参数。As an integral part of executive control decision-making, the electronic control unit group ECU is also an important part, so it is necessary to make some introduction. Here, the
本发明还给出了本发明所示的汽车行驶安全监控系统的监控方法,该方法包括如下几个主要步骤:The present invention also provides the monitoring method of the automobile running safety monitoring system shown in the present invention, and this method comprises several main steps as follows:
(1)用系统的车载数码摄像装置获取车辆周围道路等的实景图像并进行预处理,得出车辆周围实景的高保真数字图象;(1) Acquire real-scene images of roads around the vehicle with the system's on-board digital camera device and perform preprocessing to obtain high-fidelity digital images of the real scene around the vehicle;
(2)将车辆周围的实景高保真数字进行主处理,得出本车周围的矢量数字图像;(2) Mainly process the high-fidelity real-scene figures around the vehicle to obtain vector digital images around the vehicle;
(3)从所述本车周围的矢量数据图像中提取出车道线、周围其他车辆或障碍物等目标与本车的相对位置信息,以本车边沿离周围目标种类以及距目标图像边沿的距离大小为判据,对该车目前的安全性给出种类和等级描述;(3) From the vector data images around the vehicle, extract the relative position information of the lane line, other vehicles or obstacles around the target and the vehicle, and use the distance between the edge of the vehicle and the type of the surrounding objects and the edge of the target image The size is the criterion, and the type and level description of the current safety of the vehicle is given;
(4)在出现威胁的情况下,根据威胁种类和威胁等级进行相应的告警、紧急自动避险控制和/或紧急求援。(4) In the event of a threat, perform corresponding alarms, emergency automatic avoidance control and/or emergency help according to the threat type and threat level.
所述步骤(1)的具体过程主要是:The concrete process of described step (1) mainly is:
(1.1)采用车载数码摄像装置获取本车周围包括车道边界线、前后车辆、以及其他行车标志在内的目标景物的原始图象;(1.1) Adopt the vehicle-mounted digital camera device to obtain the original image of the target scene including the lane boundary line, front and rear vehicles, and other driving signs around the vehicle;
(1.2)对目标景物的原始图象进行处理,包括图像失真校正、平滑滤波降噪处理、图像增强与锐化处理、边沿检测处理等,以有效滤除各种干扰,减少图像失真,得出车辆周围实景的高保真数字图象。(1.2) Process the original image of the target scene, including image distortion correction, smoothing filter noise reduction processing, image enhancement and sharpening processing, edge detection processing, etc., to effectively filter out various interferences and reduce image distortion. A high-fidelity digital image of the real scene around the vehicle.
所述步骤(3)的具体过程主要是:The concrete process of described step (3) mainly is:
(3.1)从车辆周围目标的矢量数字图像中提取并计算出车道线、周围其他车辆或障碍物等目标的边沿与本车边沿之间的距离,并以此为判据,对该车目前的威胁种类和威胁等级给出定量描述;(3.1) Extract and calculate the distance between the edge of the lane line, other surrounding vehicles or obstacles and the edge of the vehicle from the vector digital image of the target around the vehicle, and use this as a criterion to determine the current position of the vehicle Threat categories and threat levels are given a quantitative description;
(3.2)对照预设的威胁处理方案数据库,判断在本车目前所处的威胁种类和威胁等级下,是否需要进行告警、紧急避险自动控制和/或紧急求援,如需要,发出相应的指令,控制相应的装置做相应的动作,其中所述告警、紧急避险自动控制和紧急求援采用下列方式进行:(3.2) Comparing with the preset threat processing plan database, judge whether it is necessary to carry out alarm, emergency avoidance automatic control and/or emergency help under the current threat type and threat level of the vehicle, and issue corresponding instructions if necessary , control the corresponding device to do the corresponding action, wherein the alarm, automatic control of emergency avoidance and emergency call for help are carried out in the following ways:
(a)向车载显示器发送威胁种类和威胁等级显示指令,由车载显示器显示出威胁种类和威胁等级信息;(a) Send threat type and threat level display instructions to the on-board display, and the threat type and threat level information will be displayed by the on-board display;
(b)向车辆自身的相应电控单元发出紧急避险自动控制指令,通过电控单元控制车辆做相应的紧急避险动作;(b) Send an emergency avoidance automatic control command to the corresponding electronic control unit of the vehicle itself, and control the vehicle to perform corresponding emergency avoidance actions through the electronic control unit;
(c)向移动数字通信装置发送紧急求援指令,启动移动数字通信装置依照预设的方式向外界(例如,公安交通管理中心)发出紧急求援信号。(c) Send an emergency call instruction to the mobile digital communication device, and activate the mobile digital communication device to send an emergency call signal to the outside world (for example, the public security traffic management center) according to a preset method.
参见图5,系统决策控制单元对威胁制定告警与控制决策、以及通过车载显示器显示道路的矢量数字图象时,可以采用所谓“动态坐标系”。该坐标系是这样规定的:以本车车身的纵轴为x轴、且车辆的前进方向为该轴的正方向,以车身的横轴为y轴、且该轴的正方向符合右手螺旋定则,而车辆的几何中心永远与坐标系的原点重合这样的坐标系。这种坐标系特别便于司机通过车载显示器对本车周围景物图像的观察。Referring to Fig. 5, the system decision-making control unit can use the so-called "dynamic coordinate system" when making warning and control decisions for threats and displaying vector digital images of the road through the vehicle-mounted display. The coordinate system is stipulated as follows: the longitudinal axis of the vehicle body is the x-axis, and the forward direction of the vehicle is the positive direction of the axis, and the horizontal axis of the vehicle body is the y-axis, and the positive direction of the axis conforms to the right-handed spiral Then, the geometric center of the vehicle always coincides with the origin of the coordinate system such a coordinate system. This coordinate system is particularly convenient for the driver to observe the scene images around the vehicle through the vehicle-mounted display.
为了在这种坐标系下对系统进行控制决策,图4给出了在此动态坐标系下威胁判别参量的定义及其计算示意图。图中ρAMh、ρAMv为本车的纵/横向边沿到坐标原点的垂直距离ρAMh、ρAMv,ρlr,ρll为车道左、右边界线至坐标原点的垂直距离,ρtf,ρtb为本车前后的车辆到坐标原点的垂直距离,di=ρli(t)-ρAMh为横向误差,dj=ρtj(t)-ρAMv为纵向误差dj=ρtj(t)-ρAMv,(i=r,l;j=f,b)。根据此图可算出在动态坐标系下用“距离准则”做判据时的判别参数计算方法。In order to make control decisions for the system in this coordinate system, Figure 4 shows the definition and calculation schematic diagram of the threat discrimination parameters in this dynamic coordinate system. In the figure, ρ AMh and ρ AMv are the vertical distances from the longitudinal/transverse edge of the vehicle to the coordinate origin ρ AMh , ρ AMv , ρ lr , ρ ll are the vertical distances from the left and right boundary lines of the lane to the coordinate origin, ρ tf , ρ tb d i =ρ li (t)-ρ AMh is the lateral error, d j =ρ tj (t)-ρ AMv is the longitudinal error d j =ρ tj (t) - ρ AMv , (i=r, l; j=f, b). According to this figure, the calculation method of the discriminant parameters can be calculated when the "distance criterion" is used as the criterion in the dynamic coordinate system.
图6给出了系统根据上述原则判别威胁、制定控制决策的过程详细流程。在本发明所示的一种汽车行驶安全监控系统的监控方法中,用所述的数字中的威胁优先级处理模块对该车目前的安全等级(由于安全等级与威胁种类和威胁等级均表述车辆行驶的安全性,在本说明书中认为这两个概念是等同的)为标识给出定量描述,主要包括如下几个具体步骤:Figure 6 shows the detailed process of the system to identify threats and make control decisions based on the above principles. In the monitoring method of a kind of automobile running safety monitoring system shown in the present invention, use the threat priority processing module in the described number to the current safety level of this car (because safety level and threat type and threat level all express vehicle Driving safety, these two concepts are considered to be equivalent in this manual) to give a quantitative description for the mark, which mainly includes the following specific steps:
1)提取出车道线、周围其他车辆以及其他障碍物和标志物边沿在动态坐标系中的位置信息及其动态坐标[xk(ti),yk(ti)],其中下标k用于区分行车线、本车前后车辆,以及其他标志物、障碍物,下标i用于表示当前时间;1) Extract the position information of lane lines, other vehicles around, and other obstacles and marker edges in the dynamic coordinate system and their dynamic coordinates [x k (t i ), y k (t i )], where the subscript k It is used to distinguish traffic lanes, vehicles in front of and behind the vehicle, and other markers and obstacles. The subscript i is used to indicate the current time;
2)根据所述目标边沿的动态位置坐标[xk(ti),yk(ti)],分别计算ρAMh、ρAMv,ρlr,ρll,ρtf,ρtb,以及横向误差di=ρli(t)-ρAMh和纵向误差dj=ρtj(t)-ρAMv,(i=r,l;j=f,b);2) According to the dynamic position coordinates [x k (t i ), y k (t i )] of the target edge, respectively calculate ρ AMh , ρ AMv , ρ lr , ρ ll , ρ tf , ρ tb , and lateral error d i =ρ li (t)-ρ AMh and longitudinal error d j =ρ tj (t)-ρ AMv , (i=r,l;j=f,b);
3)根据误差di及dj的数值及符号,结合道路的直观图象,用威胁优先级处理模块、系统决策控制模块,按下述方法给车辆当前的安全等级给出定量描述,并给出控制对策:3) According to the values and signs of the errors d i and d j , combined with the intuitive image of the road, use the threat priority processing module and the system decision control module to give a quantitative description of the current safety level of the vehicle according to the following method, and give Control measures:
①当0≤di以及Dsf≤dj≤∞时,(i=r,l;j=f,b)告警控制系统不发出告警信号,车载显示器显示的告警威胁等级颜色为绿色,本车可以继续在自己的车道内安全行驶;①When 0≤d i and D sf ≤d j ≤∞, (i=r, l; j=f, b) the alarm control system does not send out an alarm signal, the color of the alarm threat level displayed on the on-board display is green, and the vehicle You can continue to drive safely in your own lane;
②当di≤0但Dsf≤dj≤∞时,车载显示器显示的告警威胁等级颜色为黄色,声光告警装置发出柔和告警信号,告警本车司机迅速使车返自己的行车道行车;② When d i ≤ 0 but D sf ≤ d j ≤ ∞, the color of the warning threat level displayed on the on-board display is yellow, and the sound and light warning device sends out a soft warning signal to warn the driver of the vehicle to quickly return the vehicle to his own lane;
③当0≤di但dj≤Dsf时,车载显示器显示的威胁等级信号为橙色,声光告警装置向本车司机发出告警提示,而且控制本车的喇叭/照明灯等,向位于本车前/后的车辆发出声光告警信号,让它们加快或降低行车速度,以免发生碰撞或追尾;③ When 0 ≤ d i but d j ≤ D sf , the threat level signal displayed on the on-board display is orange, and the sound and light alarm device sends an alarm to the driver of the vehicle, and controls the horn/lights of the vehicle to send a message to the driver located in the vehicle. Vehicles in front/rear of the vehicle send out sound and light warning signals to let them speed up or slow down to avoid collision or rear-end collision;
④当di≤0且dj≤Dsf时,告警控制系统发出高声告警信号,车载显示器显示的威胁等级信号为红色,此时,系统一方面通过声光告警装置用特殊声光告诉本车司机,另一方面则通过鸣笛、亮车灯等方式,向位于本车前后的车辆发出声光告警提示信号,与此同时,系统在所述系统工作协调服务软件的协调下,由所述的车载嵌入式计算机平台将系统决策控制模块输出的决策控制信息通过总线送给电控单元,通过自动控制油门的大小改变行车速度,通过刹车制动使车迅速停止行驶,或通过地盘加力系统改变车的行驶方向,使本车迅速脱离危险;④ When d i ≤ 0 and d j ≤ D sf , the alarm control system sends out a loud alarm signal, and the threat level signal displayed on the on-board display is red. The driver of the car, on the other hand, sends out sound and light warning signals to the vehicles located in front and behind of the car by honking the whistle, turning on the lights, etc. At the same time, the system is coordinated by the system work coordination service software. The vehicle-mounted embedded computer platform described above sends the decision-making control information output by the system decision-making control module to the electronic control unit through the bus, changes the driving speed by automatically controlling the size of the accelerator, stops the car quickly by braking, or uses the power of the chassis The system changes the driving direction of the car to make the car out of danger quickly;
⑤当本车与其他车辆发生追尾、碰撞、擦伤或其他重大交通事故,以至于使本车无法继续正常行车时,所述监控告警系统可通过车载无线通信单元及时向交管中心发出告警、求救信息。⑤ When the vehicle collides with other vehicles, collides, scratches or has other major traffic accidents, so that the vehicle cannot continue to drive normally, the monitoring and alarm system can send an alarm to the traffic control center in time through the vehicle wireless communication unit, calling for help. information.
Claims (8)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CNB2005101167154A CN100429101C (en) | 2005-09-09 | 2005-10-28 | Safety monitoring system for running car and monitoring method |
Applications Claiming Priority (3)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN200510098347.5 | 2005-09-09 | ||
CN200510098347 | 2005-09-09 | ||
CNB2005101167154A CN100429101C (en) | 2005-09-09 | 2005-10-28 | Safety monitoring system for running car and monitoring method |
Publications (2)
Publication Number | Publication Date |
---|---|
CN1833934A CN1833934A (en) | 2006-09-20 |
CN100429101C true CN100429101C (en) | 2008-10-29 |
Family
ID=37001871
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CNB2005101167154A Active CN100429101C (en) | 2005-09-09 | 2005-10-28 | Safety monitoring system for running car and monitoring method |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN100429101C (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
TWI657950B (en) * | 2017-07-19 | 2019-05-01 | 緯創資通股份有限公司 | Auxiliary identification device for indicating object and auxiliary identification and display method thereof |
Families Citing this family (41)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP4412337B2 (en) * | 2007-03-08 | 2010-02-10 | トヨタ自動車株式会社 | Ambient environment estimation device and ambient environment estimation system |
JP2010108264A (en) * | 2008-10-30 | 2010-05-13 | Honda Motor Co Ltd | Vehicle periphery monitoring device |
CN101777261B (en) * | 2009-03-25 | 2013-03-20 | 长春理工大学 | Method for measuring vehicle speed based on CMOS digital camera with roll-type shutter |
JP5577398B2 (en) * | 2010-03-01 | 2014-08-20 | 本田技研工業株式会社 | Vehicle periphery monitoring device |
CN102236966A (en) * | 2010-04-21 | 2011-11-09 | 昆达电脑科技(昆山)有限公司 | System and method for combining traveling record and early warning device with portable electronic device |
KR101360683B1 (en) * | 2011-12-06 | 2014-02-10 | 현대자동차주식회사 | Apparatus and method for controlling emergency braking using vehicle condition data |
CN102611876A (en) * | 2012-02-24 | 2012-07-25 | 上海世有机电科技有限公司 | Police escort 4G video transmission system |
CN102582539A (en) * | 2012-03-30 | 2012-07-18 | 广州进强电子科技有限公司 | Vehicle safety service device and automobile |
CN103448652B (en) * | 2012-06-04 | 2016-06-15 | 宏达国际电子股份有限公司 | Traffic warning method and electronic device thereof |
DE112013004267T5 (en) * | 2012-08-30 | 2015-06-25 | Honda Motor Co., Ltd. | Road marking recognition device |
DE102013216994A1 (en) * | 2013-08-27 | 2015-03-05 | Robert Bosch Gmbh | Speed assistant for a motor vehicle |
US9335765B2 (en) * | 2013-10-10 | 2016-05-10 | Ford Global Technologies, Llc | Autonomous vehicle media control |
US9437111B2 (en) * | 2014-05-30 | 2016-09-06 | Ford Global Technologies, Llc | Boundary detection system |
CN105128850B (en) * | 2014-05-30 | 2017-12-01 | 华创车电技术中心股份有限公司 | Safety Control System of Hybrid Electric Vehicle |
CN104199645B (en) * | 2014-08-15 | 2017-08-22 | 苏州佳世达电通有限公司 | The system and its based reminding method of reminder events |
CN104156737B (en) * | 2014-08-19 | 2017-07-11 | 哈尔滨工程大学 | A kind of passenger on public transport Safe getting-off automatic testing method |
US10438073B2 (en) * | 2014-10-28 | 2019-10-08 | Trw Automotive U.S. Llc | Augmented lane detection using kinematic data |
CN105365820B (en) * | 2015-08-07 | 2017-12-22 | 河南省现代富博智能装备科技有限公司 | A kind of automotive vision safety assistant driving method and device |
CN105698812B (en) * | 2016-01-15 | 2019-04-30 | 武汉光庭科技有限公司 | Lane detection system and method based on safe driving map and two sides camera in a kind of automatic Pilot |
CN105620475A (en) * | 2016-03-02 | 2016-06-01 | 上海航盛实业有限公司 | Intelligent drive system with safety protection function |
CN105825181A (en) * | 2016-03-14 | 2016-08-03 | 广东欧珀移动通信有限公司 | Vehicle driving monitoring method, device and terminal equipment |
CN106184201A (en) * | 2016-07-22 | 2016-12-07 | 池州学院 | A kind of car bump protection control system |
WO2018058263A1 (en) * | 2016-09-27 | 2018-04-05 | 深圳智乐信息科技有限公司 | Driving method and system |
CN109591816B (en) * | 2016-10-14 | 2020-06-12 | 成都鹰明智通科技股份有限公司 | Control method for avoiding collision between automobile and target moving body based on video analysis |
CN106564496B (en) * | 2016-10-19 | 2018-11-09 | 江苏大学 | Based on the preceding intelligent vehicle safety environment envelope reconstructing method to vehicle drive behavior |
CN108001433A (en) * | 2016-10-28 | 2018-05-08 | 法乐第(北京)网络科技有限公司 | Automobile control method, device and automobile |
CN106428020A (en) * | 2016-11-17 | 2017-02-22 | 深圳市华宝电子科技有限公司 | Safety monitoring system and method |
JP6227211B1 (en) * | 2017-03-15 | 2017-11-08 | 三菱電機株式会社 | Information processing apparatus, information processing method, and information processing program |
CN107277445B (en) * | 2017-06-29 | 2020-05-12 | 深圳市元征科技股份有限公司 | Vehicle-mounted equipment |
JP7077616B2 (en) * | 2017-12-28 | 2022-05-31 | トヨタ自動車株式会社 | Display control device and display control method |
JP6735952B2 (en) * | 2018-04-10 | 2020-08-05 | 三菱電機株式会社 | Security equipment and embedded equipment |
CN108510798A (en) * | 2018-04-10 | 2018-09-07 | 西安电子科技大学 | Traffic safety method and apparatus |
CN108583564B (en) * | 2018-06-27 | 2024-01-19 | 江苏省计量科学研究院 | Safety running system for vehicle |
CN110775063B (en) * | 2019-09-25 | 2021-08-13 | 华为技术有限公司 | Information display method, device and vehicle for vehicle-mounted equipment |
CN110893775B (en) * | 2019-11-21 | 2020-11-10 | 胡海明 | Target speed customizing system of electric automobile |
CN110930701B (en) * | 2019-11-22 | 2021-05-28 | 长安大学 | A vehicle classification early warning system and method based on road accident data |
US11433855B2 (en) * | 2020-04-03 | 2022-09-06 | Micron Technology, Inc. | Intelligent detection and alerting of potential intruders |
US11093766B1 (en) | 2020-04-03 | 2021-08-17 | Micron Technology, Inc. | Detect and alert of forgotten items left in a vehicle |
CN113848935A (en) * | 2021-10-12 | 2021-12-28 | 广州小鹏自动驾驶科技有限公司 | Braking method, device and system for remote driving |
CN114155447B (en) * | 2021-12-02 | 2022-06-24 | 北京中科智易科技有限公司 | Artificial intelligence big data acquisition system |
CN119418297A (en) * | 2024-10-12 | 2025-02-11 | 深圳市诺威达电汽有限公司 | Driving assistance system based on 360-degree panoramic monitoring |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2001022444A (en) * | 1999-07-05 | 2001-01-26 | Honda Motor Co Ltd | Vehicle steering control device |
US6226389B1 (en) * | 1993-08-11 | 2001-05-01 | Jerome H. Lemelson | Motor vehicle warning and control system and method |
CN1589456A (en) * | 2001-11-19 | 2005-03-02 | 皇家飞利浦电子股份有限公司 | Method and system for improving car safety using image-enhancement |
CN2716057Y (en) * | 2004-06-21 | 2005-08-10 | 上海中油企业集团有限公司 | Prompting apparatus for deviating road of automobile |
-
2005
- 2005-10-28 CN CNB2005101167154A patent/CN100429101C/en active Active
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6226389B1 (en) * | 1993-08-11 | 2001-05-01 | Jerome H. Lemelson | Motor vehicle warning and control system and method |
JP2001022444A (en) * | 1999-07-05 | 2001-01-26 | Honda Motor Co Ltd | Vehicle steering control device |
CN1589456A (en) * | 2001-11-19 | 2005-03-02 | 皇家飞利浦电子股份有限公司 | Method and system for improving car safety using image-enhancement |
CN2716057Y (en) * | 2004-06-21 | 2005-08-10 | 上海中油企业集团有限公司 | Prompting apparatus for deviating road of automobile |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
TWI657950B (en) * | 2017-07-19 | 2019-05-01 | 緯創資通股份有限公司 | Auxiliary identification device for indicating object and auxiliary identification and display method thereof |
Also Published As
Publication number | Publication date |
---|---|
CN1833934A (en) | 2006-09-20 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN100429101C (en) | Safety monitoring system for running car and monitoring method | |
JP7231953B2 (en) | Driving history recording device, vehicle, and automatic driving control system | |
CN107077795B (en) | Auxiliary system for detecting driving obstacles appearing in vehicle surroundings | |
JP4578795B2 (en) | Vehicle control device, vehicle control method, and vehicle control program | |
CN112026761A (en) | Automobile auxiliary driving method based on data sharing | |
CN109584571A (en) | Intersection pre-warning and control method and system and sensing device used | |
CN106097776A (en) | A kind of bend collision early warning system and control method thereof | |
CN114932902B (en) | Ghost probe early warning avoiding method and system based on Internet of vehicles technology | |
CN106114502A (en) | A kind of intelligent automobile aid system | |
CN106097747B (en) | A kind of crossing anticollision intelligent signal lamp device and its control method | |
CN113269990B (en) | Early warning method for vehicle collision and vehicle control system | |
CN107344552A (en) | Dynamic monitoring omnidirectional vehicle anti-collision early warning system | |
CN110083162B (en) | Control method and system for autonomous vehicle based on mixed traffic flow | |
CN112606831A (en) | Anti-collision warning information external interaction method and system for passenger car | |
CN112216111A (en) | Vehicle speed and distance early warning system and method based on microwave radar and video image | |
CN114537374A (en) | Vehicle front anti-collision system based on travelable area | |
CN114283617A (en) | Intersection anti-collision warning system based on pedestrian tracking algorithm | |
CN112849130B (en) | Intelligent collision mitigation system and method | |
CN111098864B (en) | Prompt method, device, automatic driving vehicle and storage medium | |
CN113401056A (en) | Display control device, display control method, and computer-readable storage medium | |
CN111994075A (en) | Driving assistance method based on artificial intelligence | |
CN108238102A (en) | A kind of vehicle-mounted ultrasonic wave sensor system | |
CN205881183U (en) | Crossing anticollision intelligence signal lamp device | |
CN118418884A (en) | Vehicle early warning system and method | |
CN113246975A (en) | Intelligent auxiliary control method for automobile courtesy pedestrians |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
C14 | Grant of patent or utility model | ||
GR01 | Patent grant | ||
TR01 | Transfer of patent right | ||
TR01 | Transfer of patent right |
Effective date of registration: 20220719 Address after: 266114 room 206-1, block D, Pangu maker space, No. 100, Torch Road, high tech Industrial Development Zone, Qingdao, Shandong Patentee after: QINGDAO VEHICLE INTELLIGENCE PIONEERS Inc. Address before: 100080 No. 95 East Zhongguancun Road, Beijing, Haidian District Patentee before: INSTITUTE OF AUTOMATION, CHINESE ACADEMY OF SCIENCES |