ALX: autonomous vehicle guidance for roadway following and obstacle avoidance

Yu feng Du, Bill Schiller, Don Krantz, Craig Shankwitz, Max Donath

Research output: Contribution to journalConference article

3 Scopus citations

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 languageEnglish (US)
Pages (from-to)364-370
Number of pages7
JournalProceedings of the IEEE International Conference on Systems, Man and Cybernetics
Volume1
StatePublished - Dec 1 1995
EventProceedings of the 1995 IEEE International Conference on Systems, Man and Cybernetics. Part 2 (of 5) - Vancouver, BC, Can
Duration: Oct 22 1995Oct 25 1995

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