VITS-A Vision System for Autonomous Land Vehicle Navigation
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special Issue on Industrial Machine Vision and Computer Vision Technology:8MPart
Recursive 3-D Road and Relative Ego-State Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
Estimations of previewed road curvatures and vehicular motion by a vision-based data fusion scheme
Machine Vision and Applications
Rapidly Adapting Machine Vision for Automated Vehicle Steering
IEEE Expert: Intelligent Systems and Their Applications
Road lane segmentation using dynamic programming for active safety vehicles
Pattern Recognition Letters
Hi-index | 0.10 |
We present an approach to road recognition based on Kalman filtering and EM theory resulting in a fast recursive filter that can adaptively track unpaved roads. The road model uses linear dynamic equations and an ANN front end detects road boundaries. Kalman filters construct search neighborhoods and adapt the ANN to road conditions. The road model adapts to motion dynamics using EM. Experimental results are presented.