Vehicular Collision Avoidance Using Video Processing and Vehicle-to-Infrastructure Communication

被引:0
|
作者
Vishnu, S. [1 ]
Ramanadhan, Ullas [1 ]
Vasudevan, Nirmala [2 ]
Ramachandran, Anand [1 ]
机构
[1] Amrita Univ, Amrita Ctr Wireless Networks & Applicat, Coimbatore, Tamil Nadu, India
[2] Amrita Univ, Dept Phys, Coimbatore, Tamil Nadu, India
来源
2015 INTERNATIONAL CONFERENCE ON CONNECTED VEHICLES AND EXPO (ICCVE) | 2015年
关键词
Video Processing; Collision Avoidance; Vehicular Traffic Safety; WSN; V2I; V2V; WAVE; Lucas Kanade Optical Flow;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Road intersections, without signal lights, especially those with walls or other objects that block the driver's view, are a major traffic safety hazard. A significant number of accidents happen at these intersections. The risk factor is further aggravated by the presence of animals or pedestrians which is a common occurrence in developing countries such as India. In our proposed research, we aim to provide early warning to drivers at intersections to help them avoid possible collisions. This can be achieved with the help of a low-cost camera unit combined with special hardware for image capture/processing and Vehicle-to-Infrastructure (V2I) communication. Therefore, when an object on a collision path, such as a motor vehicle, pedestrian, or animal is detected by the system, a warning is issued to the nearby vehicles enabling drivers to react to critical situations quickly and effectively.
引用
收藏
页码:387 / 388
页数:2
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