Obstacle detection for a mining vehicle using a 2D laser
Contribuinte(s) |
Jarvis, Ray Kleeman, Lindsay |
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Data(s) |
2000
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Resumo |
This paper discusses a number of key issues for the development of robust obstacle detection systems for autonomous mining vehicles. Strategies for obstacle detection are described and an overview of the state-of-the-art in obstacle detection for outdoor autonomous vehicles using lasers is presented, with their applicability to the mining environment noted. The development of an obstacle detection system for a mining vehicle is then detailed. This system uses a 2D laser scanner as the prime sensor and combines dead-reckoning data with laser data to create local terrain maps. The slope of the terrain maps is then used to detect potential obstacles. |
Identificador | |
Publicador |
Australian Robotics & Automation Association |
Relação |
http://www.araa.asn.au/acra/acra2000/papers/paper32.pdf Roberts, Jonathan & Corke, Peter (2000) Obstacle detection for a mining vehicle using a 2D laser. In Jarvis, Ray & Kleeman, Lindsay (Eds.) Proceedings of the Australian Conference on Robotics and Automation (ACRA 2000), Australian Robotics & Automation Association, Melbourne, Australia, pp. 185-190. |
Direitos |
Copyright 2000 ARAA |
Fonte |
School of Electrical Engineering & Computer Science; Science & Engineering Faculty |
Palavras-Chave | #Autonomous mining vehicles #Obstacle detection #2D laser |
Tipo |
Conference Paper |