Performance of optical flow techniques
International Journal of Computer Vision
A 100-GOPS Programmable Processor for Vehicle Vision Systems
IEEE Design & Test
On-Road Vehicle Detection: A Review
IEEE Transactions on Pattern Analysis and Machine Intelligence
Preceding vehicle recognition based on learning from sample images
IEEE Transactions on Intelligent Transportation Systems
Reliable Detection of Overtaking Vehicles Using Robust Information Fusion
IEEE Transactions on Intelligent Transportation Systems
GOLD: a parallel real-time stereo vision system for generic obstacle and lane detection
IEEE Transactions on Image Processing
A Novel Method for Lateral Vehicle Localization by Omni-Cameras for Car Driving Assistance
KES '09 Proceedings of the 13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems: Part II
A practical several moving objects area extraction using a half-cosine function wavelet network
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
| Hi-index | 0.00 |
This paper describes the real-time implementation of a vision-based overtaking vehicle detection method for driver assistance systems using IMAPCAR, a highly parallel SIMD linear array processor. The implemented overtaking vehicle detection method is based on optical flows detected by block matching using SAD and detection of the flows' vanishing point. The implementation is done efficiently by taking advantage of the parallel SIMD architecture of IMAPCAR. As a result, video-rate (33 frames/s) implementation could be achieved.