Autonomous navigation based on the velocity space method in dynamic environments

Authors:
Shi Chao-xia;Hong Bing-rong;Wang Yan-qing;Piao Song-hao
Affiliations:
School of Computer Science and Technology, Harbin Institute of Technology, Harbin, Heilongjiang, China;School of Computer Science and Technology, Harbin Institute of Technology, Harbin, Heilongjiang, China;School of Computer Science and Technology, Harbin University of Science and Technology, Harbin, Heilongjiang, China;School of Computer Science and Technology, Harbin Institute of Technology, Harbin, Heilongjiang, China
Venue:
ICNC'06 Proceedings of the Second international conference on Advances in Natural Computation - Volume Part II
Year:
2006

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Abstract

We present a new local obstacle avoidance approach for mobile robots in partially known environments on the basis of the curvature-velocity method (CVM), the lane-curvature method (LCM) and the beam-curvature method (BCM). Not only does this method inherit the advantages from both BCM and LCM, but also it combines the prediction model of collision with BCM perfectly so that the so-called prediction based BCM (PBCM) comes into being and can be used to avoid moving obstacles in dynamic environments.