Recovering high dynamic range radiance maps from photographs
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
Computer Vision: Three-Dimensional Data from Images
Computer Vision: Three-Dimensional Data from Images
Radial Distortion Refinement by Inverse Mapping-Based Extrapolation
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 01
iCAN: Pursuing Technology for Near-Future ITS
IEEE Intelligent Systems
A cost-effective ultrasonic sensor-based driver-assistance system for congested traffic conditions
IEEE Transactions on Intelligent Transportation Systems
Automatic free parking space detection by using motion stereo-based 3D reconstruction
Machine Vision and Applications
Structure analysis based parking slot marking recognition for semi-automatic parking system
SSPR'06/SPR'06 Proceedings of the 2006 joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
Scanning Laser Radar-Based Target Position Designation for Parking Aid System
IEEE Transactions on Intelligent Transportation Systems
Eliminating Blind Spots for Assisted Driving
IEEE Transactions on Intelligent Transportation Systems
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This paper proposes a novel light-stripe-projection-based target position-designation method for an intelligent parking assist system, providing an economical free-space-based target position-designation method for poorly lit indoor parking spaces without degradation of the external appearance when integrated into a vehicle's body. The proposed method can be applied by adding a low-cost light plane projector to existing backward-parking cameras. Light stripe features are detected by the difference between an image with the light plane projector on and off. Three-dimensional information of the parking area is reconstructed using the light-stripe-projection theory. By orientation normalization and depth-map construction, free spaces are detected, and the nearest is selected as the target position. Experimental results show that the proposed method can successfully designate the target position, in spite of poor lighting conditions and the black reflective surface of adjacently parked vehicles.