Digital image processing (2nd ed.)
Digital image processing (2nd ed.)
Vision-Based Vehicle Guidance
Computer
A Compact Vision System for Road Vehicle Guidance
ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume III-Volume 7276 - Volume 7276
Decision-level fusion for vehicle detection
ICCOMP'07 Proceedings of the 11th WSEAS International Conference on Computers
A pedestrian detection system using applied log-Gabor
SSIP'07 Proceedings of the 7th WSEAS International Conference on Signal, Speech and Image Processing
Camera based vehicle detection and tracking using shadows and adaptive template matching
ICECS'03 Proceedings of the 2nd WSEAS International Conference on Electronics, Control and Signal Processing
Visual perception of obstacles and vehicles for platooning
IEEE Transactions on Intelligent Transportation Systems
Rear-lamp vehicle detection and tracking in low-exposure color video for night conditions
IEEE Transactions on Intelligent Transportation Systems
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This study proposes a vehicle detection system for identifying the vehicles by locating their headlights and rear-lights in the nighttime road environment. The proposed system comprises of two stages for detecting the vehicles in front of the camera-assisted car. The first stage is a fast automatic multilevel thresholding, which separates the bright objects from the grabbed nighttime road scene images. This proposed automatic multilevel thresholding approach provide the robustness and adaptability for the system to operate on various illuminated conditions at night. Then the extracted bright objects are processed by the second stage - the proposed knowledge-based connected-component analysis procedure, to identify the vehicles by locating their vehicle lights, and estimate the distance between the camera-assisted car and the detected vehicles. Experimental results demonstrate the feasibility and effectiveness of the proposed approach on vehicle detection at night.