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Vehicle collision model based on mono-vision Wang Chao,Zhao Chunxia,Ren Mingwu,Wang Huan


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Vehicle collision model based on mono-vision Wang Chao,Zhao Chunxia,Ren Mingwu,Wang Huan
Wang ChaoZhao ChunxiaRen MingwuWang Huan
School of Computer Science and Engineering,NUST,Nanjing 210094,China
mono-vision vehicles collision model active safety target vehicles world coordinate system real vehicles vanishing point detection time to collision
In order to solve the problem of collision safety analysis of moving vehicles in active safety field,a new vehicle collision model is proposed here.The corresponding relations between target vehicles in images and real vehicles in world coordinate system are analyzed based on keyhole imaging principle.The vanishing point of road and the location of vehicle bottom in images are detected,and their difference is treated as the scale of vehicles.The changing law of the scale of vehicles in multi-frame images is analyzed,and the moving tendency of the vehicles is calculated and the time of collision between the front vehicle and the self-vehicle is evaluated.The vehicle collision model proposed here provides exact warning time and avoids needless alarms by analyzing acceleration.Compared with other models,the result of this model is astable when the distance between vehicles is longer than 30 m,and the error of this model is below 5% when the distance between vehicles is shorter than 30 m.A real vehicle experiment verifies the practicability and accuracy of this model.


[1] Rumar K.The role of perceptual and cognitive filters in observed behavior[A].Human Behavior and Traffic Safety(Session 2)[C].New York,USA:Springer US,1985:151-170.
[2]National transportation safety board.Special investiga-tion report — highway vehicle and infrastructure-based technology for the prevention of rear end collisions(NTSB Number SIR-01/01)[R].Washington,USA:NTSB,2001.
[3]Yadav G K,Kancharla T,Nair S.Real time vehicle detection for rear and forward collision warning systems[A].Advances in Computing and Communications[C].Kochi,India:Springer Berlin Heidelberg,2011:368-377.
[4]Suzuki K,Hashimoto N.Semi-transparent vision for driving assistance[A].Proceedings of the 11th ACM SIGGRAPH International Conference on Virtual-reality Continuum and Its Applications in Industry[C].Singapore:ACM SIGGRAPH,2012:99-102.
[5]Chiu Chungcheng,Chung Mingliang,Chen Wenchung.Real-time front vehicle detection algorithm for an asynchronous binocular system[J].Journal of Information Science and Engineering,2010,26(3,SI):735-752.
[6]Zhu Junda,Yuan Liang,Zheng Y F,et al.Stereo visual tracking within structured environments for measuring vehicle speed[J].IEEE Transactions on Circuits and Systems for Video Technology,2012,22(10):1471-1484.
[7]Jin Xuebo,Jing Jingdu,Jia Bao.Brightness and color transfer for infrared images in vehicle night vision system[J].Applied Mechanics and Materials,2013,263:2477-2482.
[8]Zhang Zhengyou.A flexible new technique for camera calibration[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2000,22(11):1330-1334.
[9]Seyffarth T.Design and analysis of an image-based ACC controller[A].50th IEEE Conference on Decision and Control and European Control Conference(CDC-ECC 2011)[C].Orlando,Florida,USA:IEEE,2011:8068-8075.
[10]Dagan E,Mano O,Stein G P,et al.Forward collision warning with a single camera[A].2004 IEEE Conference on Intelligent Vehicles Symposium[C].Parma,Italy:IEEE,2004:37-42.
[11]Stein G P,Mano O,Shashua A.Vision-based ACC with a single camera:Bounds on range and range rate accuracy[A].Proceedings of IEEE Conference on Intelligent Vehicles Symposium,2003.[C].Colum-bus,OH,USA:IEEE,2003:120-125.
[12]Stierlin S,Dietmayer K.Scale change and TTC filter for longitudinal vehicle control based on monocular video[A].15th International IEEE Conference on Intelligent Transportation Systems(ITSC 2012)[C].Anchorage,AK,USA:IEEE,2012:528-533.
[13]Kong Hui,Sarma S E,Tang Feng.Generalizing Lapla-cian of Gaussian filters for vanishing-point detection[J].IEEE Transactions on Intelligent Transportation Systems,2013,14(1):408-418.


Last Update: 2014-12-31