Abstract
This paper presents results of research done on an Autonomous Land Experimental Vehicle (ALX). ALX is able to autonomously follow roadways through the use of a vision system and to execute obstacle detection and collision avoidance using a suite of range sensors. This paper describes the embedded real-time control system for ALX based on a multi-processor, multi-tasking architecture and presents the algorithms that were used for visual perception, path tracking, obstacle detection and collision avoidance. Experimental results are also presented.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 364-370 |
| Number of pages | 7 |
| Journal | Proceedings of the IEEE International Conference on Systems, Man and Cybernetics |
| Volume | 1 |
| State | Published - 1995 |
| Event | Proceedings of the 1995 IEEE International Conference on Systems, Man and Cybernetics. Part 2 (of 5) - Vancouver, BC, Can Duration: Oct 22 1995 → Oct 25 1995 |
