Research on Improved Obstacle Avoidance Algorithm

Title:Research on Improved Obstacle Avoidance Algorithm

Volume: 7 Issue: 2

Author(s): Liguang Zhang and Chao Chen

Affiliation:

Keywords: BP network, GA algorithm, multi sensor, potential field method, unmanned vehicle.

Abstract: The traditional artificial potential field algorithm has the shortcomings of appearing trap area easily and shaking in front of obstacles. This paper, studying traditional artificial potential field deeply, optimizes the sensor data with the introduction of the BP network and the GA algorithm, unmanned vehicles achieving autonomous obstacle avoidance and prognoses in advance when passing the path with obstacles, and effectively eliminating system instability caused by shock and dead zone. Comparing with traditional artificial potential field algorithm, the improved algorithm makes a further improvement in the respects of system stability and efficiency.

Cite this article as:

Zhang Liguang and Chen Chao, Research on Improved Obstacle Avoidance Algorithm, Recent Advances in Electrical & Electronic Engineering 2014; 7 (2) . https://dx.doi.org/10.2174/2352096507666140913005103

DOI https://dx.doi.org/10.2174/2352096507666140913005103	Print ISSN 2352-0965
Publisher Name Bentham Science Publisher	Online ISSN 2352-0973