적응형 헤드 램프 컨트롤을 위한 야간 차량 인식

Title
적응형 헤드 램프 컨트롤을 위한 야간 차량 인식
Other Titles
Vehicle Detection for Adaptive Head-Lamp Controlof Night Vision System
Author(s)
박주현정호열김현구[김현구]
Keywords
Adaptive front lighting system; Shape filter; Kalman filter; Nighttime vehicle detection; Adaptive front lighting system; Shape filter; Kalman filter; Nighttime vehicle detection
Issue Date
201102
Publisher
대한임베디드공학회
Citation
대한임베디드공학회논문지, v.6, no.1, pp.8 - 15
Abstract
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, in order to effectively extract spotlight of interest, a pre-signal-processing process based on camera lens filter and labeling method is applied on road-scene images. Second, to spatial clustering vehicle of detecting lamps, a grouping process use light tracking method and locating vehicle lighting patterns. For simulation, we are implemented through Da-vinci 7437 DSP board with visible light mono-camera and tested it in urban and rural roads. Through the test, classification performances are above 89% of precision rate and 94% of recall rate evaluated on real-time environment.
URI
http://hdl.handle.net/YU.REPOSITORY/25621
ISSN
1975-5066
Appears in Collections:
공과대학 > 전기공학과 > Articles
공과대학 > 모바일정보통신공학과 > Articles
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