CN104537888A - Automobile collision alarming method based on mobile phone - Google Patents
Automobile collision alarming method based on mobile phone Download PDFInfo
- Publication number
- CN104537888A CN104537888A CN201410827643.3A CN201410827643A CN104537888A CN 104537888 A CN104537888 A CN 104537888A CN 201410827643 A CN201410827643 A CN 201410827643A CN 104537888 A CN104537888 A CN 104537888A
- Authority
- CN
- China
- Prior art keywords
- mobile phone
- camera
- image
- gamma
- coordinates
- 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
- 238000000034 method Methods 0.000 title claims abstract description 10
- 238000013507 mapping Methods 0.000 claims description 6
- 230000003287 optical effect Effects 0.000 claims description 5
- 230000000007 visual effect Effects 0.000 claims 1
- 230000007423 decrease Effects 0.000 description 2
- PCTMTFRHKVHKIS-BMFZQQSSSA-N (1s,3r,4e,6e,8e,10e,12e,14e,16e,18s,19r,20r,21s,25r,27r,30r,31r,33s,35r,37s,38r)-3-[(2r,3s,4s,5s,6r)-4-amino-3,5-dihydroxy-6-methyloxan-2-yl]oxy-19,25,27,30,31,33,35,37-octahydroxy-18,20,21-trimethyl-23-oxo-22,39-dioxabicyclo[33.3.1]nonatriaconta-4,6,8,10 Chemical compound C1C=C2C[C@@H](OS(O)(=O)=O)CC[C@]2(C)[C@@H]2[C@@H]1[C@@H]1CC[C@H]([C@H](C)CCCC(C)C)[C@@]1(C)CC2.O[C@H]1[C@@H](N)[C@H](O)[C@@H](C)O[C@H]1O[C@H]1/C=C/C=C/C=C/C=C/C=C/C=C/C=C/[C@H](C)[C@@H](O)[C@@H](C)[C@H](C)OC(=O)C[C@H](O)C[C@H](O)CC[C@@H](O)[C@H](O)C[C@H](O)C[C@](O)(C[C@H](O)[C@H]2C(O)=O)O[C@H]2C1 PCTMTFRHKVHKIS-BMFZQQSSSA-N 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 239000003086 colorant Substances 0.000 description 1
- 238000009795 derivation Methods 0.000 description 1
- 230000005236 sound signal Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/16—Anti-collision systems
- G08G1/166—Anti-collision systems for active traffic, e.g. moving vehicles, pedestrians, bikes
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Studio Devices (AREA)
Abstract
本发明涉及汽车领域,尤其涉及一种基于手机的汽车碰撞报警方法。手机摄像头摄取车辆前方/后方障碍物图像;根据手机摄取的障碍物在图像中的位置计算出该障碍物距离自车的实际距离dc;根据障碍物距离自车的实际距离dc与自车的速度v,计算出距离碰撞的时间t;将时间t与报警阈值时间T进行对比,当达到t达到阈值时间T时,进行报警。手机在生活中应用广泛,使得本发明的成本低廉,且普及度高。
The invention relates to the field of automobiles, in particular to a mobile phone-based automobile collision alarm method. The camera of the mobile phone captures the image of obstacles in front/rear of the vehicle; calculates the actual distance d c between the obstacle and the vehicle according to the position of the obstacle captured by the mobile phone in the image; according to the actual distance d c between the obstacle and the vehicle Calculate the time t from the collision with the speed v of the collision; compare the time t with the alarm threshold time T, and when t reaches the threshold time T, an alarm will be issued. Mobile phones are widely used in daily life, which makes the present invention low in cost and high in popularity.
Description
技术领域 technical field
本发明涉及汽车领域,尤其涉及一种基于手机的汽车碰撞报警方法。 The invention relates to the field of automobiles, in particular to a mobile phone-based automobile collision alarm method.
背景技术 Background technique
汽车碰撞预警系统是在汽车的前部或后部安装车辆识别传感器,通过测试前后车距、本车与前面或后面汽车的相对速度,计算碰撞时间,并在不同的时间点(如2.7秒,0.9秒)通过声音、不同颜色的图像发出不同紧急程度的报警,达到提醒驾驶员的目的。 The car collision warning system is to install a vehicle recognition sensor on the front or rear of the car. By testing the distance between the front and rear cars, the relative speed of the car and the car in front or behind, the collision time is calculated, and at different time points (such as 2.7 seconds, 0.9 seconds) to send out alarms of different urgency through sound and images of different colors, so as to remind the driver.
传统的车辆识别传感器采用中远距离雷达、车载专有摄像头等高端装备。由于价格高昂,目前多装备在豪华车及高端车中,影响了普及。 Traditional vehicle recognition sensors use high-end equipment such as medium and long-distance radars and on-board proprietary cameras. Due to the high price, it is mostly equipped in luxury cars and high-end cars at present, which affects the popularization.
发明内容 Contents of the invention
本发明的目的在于提供一种基于手机的汽车碰撞报警方法,它可以利用大众化的手机摄像头实现主动安全预警的目的。 The purpose of the present invention is to provide a mobile phone-based automobile collision warning method, which can utilize the popular mobile phone camera to realize the purpose of active safety warning.
本发明的技术方案为,包括以下步骤: The technical scheme of the present invention is, comprises the following steps:
步骤1:手机摄像头摄取车辆前方/后方障碍物图像; Step 1: The mobile phone camera captures images of obstacles in front of/rear of the vehicle;
步骤2:根据手机摄取的障碍物在图像中的位置计算出该障碍物距离自车的实际距离dc; Step 2: Calculate the actual distance d c between the obstacle and the vehicle according to the position of the obstacle captured by the mobile phone in the image;
步骤4:根据障碍物距离自车的实际距离dc与自车的速度v,计 算出距离碰撞的时间t; Step 4: According to the actual distance dc between the obstacle and the own vehicle and the speed v of the own vehicle, calculate the time t from the collision;
步骤5:将时间t与报警阈值时间T进行对比,当达到t达到阈值时间T时,进行报警。 Step 5: compare the time t with the alarm threshold time T, and when t reaches the threshold time T, an alarm is issued.
进一步的,所述障碍物距自车的实际距离为dc=d1+d2,d1为手机摄像头最近视野到本车前端/尾部的距离,d2是图像上得到的最近视野与障碍物的距离,d2通过以下步骤得到: Further, the actual distance between the obstacle and the own vehicle is dc =d1+d2, d1 is the distance from the shortest field of view of the mobile phone camera to the front end/tail of the vehicle, and d2 is the distance between the shortest field of view and the obstacle obtained on the image, d2 is obtained through the following steps:
步骤1:选取摄像头摄取的障碍物在图像中形成的矩形框,计算矩形框底边中点的图像平面坐标xl,yl; Step 1: Select the rectangular frame formed by the obstacle captured by the camera in the image, and calculate the image plane coordinates xl, yl of the midpoint of the bottom edge of the rectangular frame;
步骤2:求取手机屏幕底边中点的图像平面坐标x2,y2; Step 2: Obtain the image plane coordinates x2, y2 of the midpoint of the bottom edge of the mobile phone screen;
步骤3:将图像平面坐标xl,yl和x2,y2根据图像平面坐标与路面坐标的映射关系求去除路面坐标Xl,Yl和X2,Y2; Step 3: the image plane coordinates x1, yl and x2, y2 are calculated according to the mapping relationship between the image plane coordinates and the road surface coordinates to remove the road surface coordinates X1, Y1 and X2, Y2;
步骤4:距离d2=((Yl-Y2)2+(Xl-X2)2)0.5。 Step 4: Distance d2=((Yl-Y2) 2 +(Xl-X2) 2 ) 0.5 .
进一步的,所述图像平面坐标与路面坐标的映射关系如下: Further, the mapping relationship between the image plane coordinates and the road surface coordinates is as follows:
其中: in:
(Xp、YP)为路面坐标,(xp、yp)为图像平面坐标,H为图像的高,w为图像的宽,h为摄像头的光轴距离地面的距离,2β0为摄像机镜头的水平视野角,2α0为摄像机镜头的垂直视野角,γ0为摄像机的俯仰角。 (X p , Y P ) are the coordinates of the road surface, (x p , y p ) are the coordinates of the image plane, H is the height of the image, w is the width of the image, h is the distance between the optical axis of the camera and the ground, and 2β 0 is the camera The horizontal view angle of the lens, 2α 0 is the vertical view angle of the camera lens, and γ 0 is the pitch angle of the camera.
进一步的,所述距离碰撞的时间t=dc/v。 Further, the time from collision t=d c /v.
进一步的,所述的报警阈值时间至少为一个,所述碰撞时间达到不同的报警阈值时间时输出不同频率的警报音。 Further, there is at least one alarm threshold time, and when the collision time reaches different alarm threshold times, alarm tones of different frequencies are output.
本发明的有益效果是:通过手机摄像头获取路面障碍物图像,再根据摄机投影模型,通过几何推导来得到路面坐标系和图像坐标系之间的关系,从而得出行驶至障碍物处的时间,即碰撞时间。将碰撞时间与报警阈值时间进行对比,在达到报警阈值时间进行碰撞报警,从而达到利用手机摄像头实现主动安全预警的目的。手机在生活中应用广泛,使得本发明的成本低廉,且普及度高。 The beneficial effects of the present invention are: obtain the road obstacle image through the camera of the mobile phone, and then obtain the relationship between the road surface coordinate system and the image coordinate system through geometric derivation according to the camera projection model, so as to obtain the time to travel to the obstacle , that is, the collision time. The collision time is compared with the alarm threshold time, and the collision alarm is performed when the alarm threshold time is reached, so as to achieve the purpose of using the mobile phone camera to realize active safety warning. Mobile phones are widely used in daily life, which makes the present invention low in cost and high in popularity.
附图说明 Description of drawings
图1为单目视觉几何投影模型a; Figure 1 is a monocular vision geometric projection model a;
图2为单目视觉几何投影模型b; Figure 2 is a monocular vision geometric projection model b;
具体实施方式 detailed description
为了使本发明的目的、技术方案及优点更加清楚明白,以下结合 附图及实施例,对本发明进行进一步详细说明。此处所描述的具体实施例仅仅用以解释本发明,并不用于限定本发明。此外,下面所描述的本发明各个实施方式中所涉及到的技术特征只要彼此之间未构成冲突就可以相互组合。 In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. The specific embodiments described here are only used to explain the present invention, not to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not constitute a conflict with each other.
本发明中的手机通过精确计算和标定后的角度牢固地固定在汽车前面或后面的挡风玻璃上,使得手机摄像头对准车辆前方或后方路径中的物体并获取图像信息。 The mobile phone in the present invention is firmly fixed on the front or rear windshield of the car through precise calculation and calibrated angle, so that the camera of the mobile phone is aimed at the objects in the front or rear path of the vehicle and acquires image information.
手机摄取障碍物(即车辆前方或后方路径中的物体)后,图像显示输出。 After the mobile phone captures obstacles (that is, objects in the path in front of or behind the vehicle), the image display output.
如图1所示,平面ABU代表路平面,ABCD为摄像机拍摄到的路平面上的梯形区域,O点为摄像机镜头中心点,OG为摄像机光轴,G点为摄像机光轴和路平面的交点(同时也是视野梯形的对角线交点),I点为O点在路平面上的垂直投影。在路面坐标系中,将G点定义为坐标系原点,车辆前进方向定义为Y轴方向。 As shown in Figure 1, the plane ABU represents the road plane, ABCD is the trapezoidal area on the road plane captured by the camera, point O is the center point of the camera lens, OG is the optical axis of the camera, and point G is the intersection point between the optical axis of the camera and the road plane (It is also the diagonal intersection point of the trapezoid of the field of view at the same time), and point I is the vertical projection of point O on the road plane. In the road surface coordinate system, point G is defined as the origin of the coordinate system, and the forward direction of the vehicle is defined as the direction of the Y axis.
G、A、B、C、D各点在图像平面内的对应点如图2所示,a、b、c、d为像平面矩形的4个端点,H和W分别为像平面的高和宽。定义图像矩形的中点g为像平面坐标系的坐标原点,y轴代表车辆前进方向。取路平面上一点P,其在路平面坐标系的坐标为(Xp,Yp),P点在图像平面内的对应点为P1,其在像平面坐标系的坐标为(xp,yp)。利用几何关系可以推导出如下路面坐标与图像坐标之间的对应关系: The corresponding points of G, A, B, C, and D in the image plane are shown in Figure 2, a, b, c, and d are the four endpoints of the image plane rectangle, H and W are the height and height of the image plane, respectively. Width. Define the midpoint g of the image rectangle as the coordinate origin of the image plane coordinate system, and the y-axis represents the forward direction of the vehicle. Take a point P on the road plane, its coordinates in the road plane coordinate system are (X p , Y p ), the corresponding point of point P in the image plane is P1, and its coordinates in the image plane coordinate system are (x p , y p ). Using the geometric relationship, the following correspondence between road surface coordinates and image coordinates can be deduced:
其中: in:
w为图像的宽,h为摄像头的光轴距离地面的距离,2β0为摄像机镜头的水平视野角,2α0为摄像机镜头的垂直视野角,γ0为摄像机的俯仰角。 w is the width of the image, h is the distance between the optical axis of the camera and the ground, 2β 0 is the horizontal view angle of the camera lens, 2α 0 is the vertical view angle of the camera lens, and γ 0 is the pitch angle of the camera.
得出像平面坐标和路面平面坐标之间的映射关系后,可以进行障碍物距车辆真是距离的计算。障碍物距自车的实际距离为dc=d1+d2,d1为手机摄像头最近视野到本车前端/尾部的距离(即手机摄像头最前端距本车前端/尾部的距离),d2是图像上得到的最近视野与障碍物的距离,d2通过以下步骤可以得到: After obtaining the mapping relationship between the image plane coordinates and the road plane coordinates, the distance between the obstacle and the vehicle can be calculated. The actual distance between the obstacle and the own vehicle is d c =d1+d2, d1 is the distance from the nearest field of view of the mobile phone camera to the front/rear of the vehicle (that is, the distance from the front end of the mobile phone camera to the front/rear of the vehicle), and d2 is the distance on the image The obtained distance between the nearest field of view and the obstacle, d2 can be obtained through the following steps:
步骤1:选取摄像头摄取的障碍物在图像中形成的矩形框,计算矩形框底边中点的图像平面坐标xl,yl; Step 1: Select the rectangular frame formed by the obstacle captured by the camera in the image, and calculate the image plane coordinates xl, yl of the midpoint of the bottom edge of the rectangular frame;
步骤2:求取手机屏幕底边中点的图像平面坐标x2,y2; Step 2: Obtain the image plane coordinates x2, y2 of the midpoint of the bottom edge of the mobile phone screen;
步骤3:将图像平面坐标xl,yl和x2,y2根据图像平面坐标与路 面坐标的映射关系求去除路面坐标Xl,Yl和X2,Y2; Step 3: the image plane coordinates x1, yl and x2, y2 are calculated according to the mapping relationship between the image plane coordinates and the road surface coordinates to remove the road surface coordinates X1, Y1 and X2, Y2;
步骤4:距离d2=((Yl-Y2)2+(Xl-X2)2)0.5。 Step 4: Distance d2=((Yl-Y2) 2 +(Xl-X2) 2 ) 0.5 .
依据手机GPS信号,可以计算出车辆的运行速度V,从而可以计算出距离碰撞的时间t=dc/v。控制单元内存储报警阈值时间T1、T2等表示车辆与物体接近的紧急程度。当t从大于减小到等于T1(如2.7秒),控制单元输出表示一定紧急程度预警信号;当t从T1减小到等于T2时(T2>T1,如0.9秒),控制单元输出紧急程度高的预警信号。警报系统接到这些预警信号后,将预警信号转换为频率程度不同的声音信号或图形闪烁信号。紧急程度越高,频率越高,即与T2对应的预警声音或图形闪烁频率应高于与T1对应的预警声音或图形闪烁频率。 According to the GPS signal of the mobile phone, the running speed V of the vehicle can be calculated, so that the time t=d c /v from the collision can be calculated. The alarm threshold times T 1 , T 2 etc. are stored in the control unit to represent the urgency of the vehicle approaching the object. When t decreases from greater than or equal to T 1 (such as 2.7 seconds), the control unit outputs an early warning signal indicating a certain degree of urgency; when t decreases from T 1 to equal to T 2 (T 2 > T 1 , such as 0.9 seconds), The control unit outputs a warning signal with a high degree of urgency. After the alarm system receives these early warning signals, it converts the early warning signals into sound signals or graphic flashing signals with different frequencies. The higher the degree of urgency, the higher the frequency, that is, the warning sound or graphic flashing frequency corresponding to T2 should be higher than the warning sound or graphic flashing frequency corresponding to T1.
以上所述,仅为本发明的具体实施方式,应当指出,任何熟悉本领域的技术人员在本发明所揭露的技术范围内,可轻易想到的变化或替换,都应涵盖在本发明的保护范围之内。 The above is only a specific embodiment of the present invention. It should be pointed out that any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention shall be covered by the protection scope of the present invention. within.
Claims (5)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201410827643.3A CN104537888A (en) | 2014-12-25 | 2014-12-25 | Automobile collision alarming method based on mobile phone |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201410827643.3A CN104537888A (en) | 2014-12-25 | 2014-12-25 | Automobile collision alarming method based on mobile phone |
Publications (1)
Publication Number | Publication Date |
---|---|
CN104537888A true CN104537888A (en) | 2015-04-22 |
Family
ID=52853407
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201410827643.3A Pending CN104537888A (en) | 2014-12-25 | 2014-12-25 | Automobile collision alarming method based on mobile phone |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN104537888A (en) |
Cited By (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104792302A (en) * | 2015-04-29 | 2015-07-22 | 深圳市保千里电子有限公司 | Modeling method for measuring car distance |
CN106355950A (en) * | 2015-07-17 | 2017-01-25 | 罗伯特·博世有限公司 | Method and system to warn of a vehicle moving in the wrong direction of travel |
CN107295467A (en) * | 2016-03-31 | 2017-10-24 | 中兴通讯股份有限公司 | The reminding method and device in terminal orientation |
WO2018058266A1 (en) * | 2016-09-27 | 2018-04-05 | 深圳智乐信息科技有限公司 | Mobile terminal-based notification method and system |
CN108180888A (en) * | 2017-12-29 | 2018-06-19 | 三英精控(天津)仪器设备有限公司 | A kind of distance detection method based on rotating pick-up head |
CN108230393A (en) * | 2016-12-14 | 2018-06-29 | 贵港市瑞成科技有限公司 | A kind of distance measuring method of intelligent vehicle forward vehicle |
CN108399793A (en) * | 2018-02-07 | 2018-08-14 | 长安大学 | Millimetre-wave radar automatic obstacle avoidance method based on truck traffic |
CN110401763A (en) * | 2019-04-14 | 2019-11-01 | 戚建民 | Mobile terminal action triggers system based on mode detection |
CN110556024A (en) * | 2019-07-18 | 2019-12-10 | 华瑞新智科技(北京)有限公司 | Anti-collision auxiliary driving method and system and computer readable storage medium |
Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101391589A (en) * | 2008-10-30 | 2009-03-25 | 上海大学 | Vehicle intelligent alarm method and device |
US20090184811A1 (en) * | 2008-01-23 | 2009-07-23 | Althoff Nicholas K | Methods and system for an impact avoidance system |
CN101497330A (en) * | 2008-01-29 | 2009-08-05 | 福特全球技术公司 | A system for collision course prediction |
CN102160006A (en) * | 2008-07-15 | 2011-08-17 | 空中侦察辨识和避免技术有限责任公司 | System and method for preventing a collis |
CN102642510A (en) * | 2011-02-17 | 2012-08-22 | 汽车零部件研究及发展中心有限公司 | Image-based vehicle anti-collision early warning method |
CN102862574A (en) * | 2012-09-21 | 2013-01-09 | 上海永畅信息科技有限公司 | Method for realizing active safety of vehicle on the basis of smart phone |
CN103403779A (en) * | 2011-03-04 | 2013-11-20 | 日立汽车系统株式会社 | Vehicle-mounted camera and vehicle-mounted camera system |
CN103465857A (en) * | 2013-09-17 | 2013-12-25 | 上海羽视澄蓝信息科技有限公司 | Mobile-phone-based active safety early-warning method for automobile |
-
2014
- 2014-12-25 CN CN201410827643.3A patent/CN104537888A/en active Pending
Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20090184811A1 (en) * | 2008-01-23 | 2009-07-23 | Althoff Nicholas K | Methods and system for an impact avoidance system |
CN101497330A (en) * | 2008-01-29 | 2009-08-05 | 福特全球技术公司 | A system for collision course prediction |
CN102160006A (en) * | 2008-07-15 | 2011-08-17 | 空中侦察辨识和避免技术有限责任公司 | System and method for preventing a collis |
CN101391589A (en) * | 2008-10-30 | 2009-03-25 | 上海大学 | Vehicle intelligent alarm method and device |
CN102642510A (en) * | 2011-02-17 | 2012-08-22 | 汽车零部件研究及发展中心有限公司 | Image-based vehicle anti-collision early warning method |
CN103403779A (en) * | 2011-03-04 | 2013-11-20 | 日立汽车系统株式会社 | Vehicle-mounted camera and vehicle-mounted camera system |
CN102862574A (en) * | 2012-09-21 | 2013-01-09 | 上海永畅信息科技有限公司 | Method for realizing active safety of vehicle on the basis of smart phone |
CN103465857A (en) * | 2013-09-17 | 2013-12-25 | 上海羽视澄蓝信息科技有限公司 | Mobile-phone-based active safety early-warning method for automobile |
Cited By (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104792302A (en) * | 2015-04-29 | 2015-07-22 | 深圳市保千里电子有限公司 | Modeling method for measuring car distance |
CN106355950A (en) * | 2015-07-17 | 2017-01-25 | 罗伯特·博世有限公司 | Method and system to warn of a vehicle moving in the wrong direction of travel |
CN107295467A (en) * | 2016-03-31 | 2017-10-24 | 中兴通讯股份有限公司 | The reminding method and device in terminal orientation |
WO2018058266A1 (en) * | 2016-09-27 | 2018-04-05 | 深圳智乐信息科技有限公司 | Mobile terminal-based notification method and system |
CN108230393A (en) * | 2016-12-14 | 2018-06-29 | 贵港市瑞成科技有限公司 | A kind of distance measuring method of intelligent vehicle forward vehicle |
CN108180888A (en) * | 2017-12-29 | 2018-06-19 | 三英精控(天津)仪器设备有限公司 | A kind of distance detection method based on rotating pick-up head |
CN108399793A (en) * | 2018-02-07 | 2018-08-14 | 长安大学 | Millimetre-wave radar automatic obstacle avoidance method based on truck traffic |
CN110401763A (en) * | 2019-04-14 | 2019-11-01 | 戚建民 | Mobile terminal action triggers system based on mode detection |
CN110401763B (en) * | 2019-04-14 | 2020-07-31 | 安徽省徽腾智能交通科技有限公司泗县分公司 | Mobile terminal action triggering system based on mode detection |
CN110556024A (en) * | 2019-07-18 | 2019-12-10 | 华瑞新智科技(北京)有限公司 | Anti-collision auxiliary driving method and system and computer readable storage medium |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN104537888A (en) | Automobile collision alarming method based on mobile phone | |
US11535155B2 (en) | Superimposed-image display device and computer program | |
JP5769163B2 (en) | Alarm device | |
JP5172314B2 (en) | Stereo camera device | |
TWI596361B (en) | Using structured light sensing barrier reversing warning method | |
CN105599610A (en) | Road sign information display system and method | |
CN101101333A (en) | Apparatus and method for generating driver assistance information for a moving vehicle | |
US10896338B2 (en) | Control system | |
JP2011118482A (en) | In-vehicle device and recognition support system | |
CN101910781A (en) | Mobile State Estimation Device | |
CN101318491A (en) | Embedded integrated vision-assisted driving safety system | |
JPWO2018180579A1 (en) | Imaging control device, control method of imaging control device, and moving object | |
KR101979276B1 (en) | User interface apparatus for vehicle and Vehicle | |
WO2011058822A1 (en) | Vehicle surrounding display device, vehicle surrounding display method | |
CN111273765A (en) | Display control device for vehicle, display control method for vehicle, and storage medium | |
JP6922169B2 (en) | Information processing equipment and methods, vehicles, and information processing systems | |
CN104641405A (en) | Warning device for vehicle and outside mirror device for vehicle | |
JP2006344009A (en) | Method and system for monitoring periphery of vehicle | |
CN103802728A (en) | Driving assistance system and method based on head-mounted display and used for automatic scene selection for display | |
CN113071418A (en) | Vehicle rearview mirror control method and device, electronic equipment and storage medium | |
CN105867875A (en) | Front pedestrian target recognition based automobile horn volume self-adaption control system | |
CN108528337B (en) | Intelligent inner wheel difference early warning system and early warning method based on video projection | |
CN102303563A (en) | Front vehicle collision warning system and method | |
JP2006279752A (en) | Undervehicle image display controlling apparatus and its display controlling program | |
JPWO2019142660A1 (en) | Image processing device, image processing method, and program |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into 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: 20150422 |