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Detection of Multiple Preceding Cars in Busy Traffic Using Taillights

文集名：	Image Analysis and Recognition
作者：	Rachana A. Gupta（Electrical Engineering, North Carolina State University） Wesley E. Snyder（Electrical Engineering, North Carolina State University）
会议名：	8th International Conference on Image Analysis and Recognition (ICIAR 2011)
会议日期：	June 22-24, 2011
会议地点：	Burnaby, BC, Canada,
出版年：	2011
页码：	338-347
总页数：	10
馆藏号：	300640
分类号：	TP3-53/L471/(8th-v.6754p.2)+TP391
关键词：	Taillight detection；Preceding vehicle detection；Autonomous vehicles；Computer vision
参考中译：
语种：	eng
文摘：	This paper presents an improved method for detecting and segmenting taillight pairs of multiple preceding cars in busy traffic in day as well as night. Novelties and advantages of this method are that it is designed to detect multiple car simultaneously, it does not require knowledge of lanes, it works in busy traffic in daylight as well as night, and it is fast irrespective of number of preceding vehicles in the scene, and therefore suitable for real-time applications. The time to process the scene is independent of the size of the vehicle in pixels, and the number of preceding cars detected. One of the previous night taillight detection methods in literature is modified to detect taillight pairs in the scene for both day and night conditions. This paper further introduces a novel hypothesis verification method based on the mathematical relationship between the vehicle distance from the vanishing point and the location of and distance between its taillights. This method enables the detection of multiple preceding vehicles in multiple lanes in a busy traffic environment in real-time. The results are compared with state-of-the-art algorithms for preceding vehicle detection performance, time and ease of implementation.