This paper presents an effective method for detecting vehicles in front of the camera-assisted car during nighttime driving. The proposed method detects vehicles based on detecting vehicle headlights and taillights using techniques of image segmentation and clustering. First, to effectively extract spotlight of interest, a segmentation process based on automatic multi-level threshold method is applied on the road-scene images. Second, to spatial clustering vehicle of detecting lamps, a grouping process based on light tracking and locating vehicle lighting patterns. For simulation, we are implemented through Da-vinci 7437 DSP board with near infrared mono-camera and tested it in the urban and rural roads. Through the test, classification performances are above 97% of true positive rate evaluated on real-time environment. Our method also has good performance in the case of clear, fog and rain weather.
An Effective Method of Head Lamp and Tail Lamp Recognition for Night Time Vehicle Detection
2010-08-29
oai:zenodo.org:1070579
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
DDC: | 629 |
VEHICLE HEAD LAMP AND VEHICLE HEAD LAMP CONTROLLING METHOD
Europäisches Patentamt | 2019
|