Obstacle Detection Using Projective Invariant and Vanishing Lines
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Multiple Vehicle Visual Tracking from a Moving Vehicle
ISDA '06 Proceedings of the Sixth International Conference on Intelligent Systems Design and Applications - Volume 02
ICMLA '08 Proceedings of the 2008 Seventh International Conference on Machine Learning and Applications
Augmented AVI video file for road surveying
Computers and Electrical Engineering
Block-matching-based motion field generation utilizing directional edge displacement
Computers and Electrical Engineering
Rear-lamp vehicle detection and tracking in low-exposure color video for night conditions
IEEE Transactions on Intelligent Transportation Systems
Real-time vehicle tracking for driving assistance
Machine Vision and Applications
Easy Calibration of a Blind-Spot-Free Fisheye Camera System Using a Scene of a Parking Space
IEEE Transactions on Intelligent Transportation Systems
Computers and Electrical Engineering
Minimizing address arithmetic instructions in embedded applications on DSPs
Computers and Electrical Engineering
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This paper proposes an effective blind spot warning system (BSWS) for daytime and nighttime conditions. The proposed BSWS includes camera models of a dynamic calibration and blind spot detection (BSD) algorithms for the daytime and nighttime. Under daytime conditions, the proposed system presents the Horizontal Edge and Shadow Composite Region (HESCR) method to extract the searching region and to acquire the shadow location of the targeted vehicles. Additionally, to detect vehicles at nighttime road scenes, the proposed system extracts bright objects and recognizes the paired headlights of the targeted vehicles for the BSD. The BSWS is implemented on a DSP-based embedded platform. The results of the BSWS are obtained by conducting practical experiments on our camera-assisted car on a highway in Taiwan under both nighttime and daytime conditions. Experimental results show that the proposed BSWS is feasible for vehicle detection and collision warning in various daytime and nighttime road environments.