Path planning for indoor Mobile robot based on deep learning

This paper aims to give an optimal path planning of a mobile robot in a known indoor environment. An algorithm based on deep learning, ray tracing algorithm, waiting rule, and Rapidly-exploring Random Tree is proposed to solve the problem of obstacle avoidance and path planning. Firstly, GoogLeNet i...

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Veröffentlicht in:	Optik (Stuttgart) Jg. 219; S. 165096
Hauptverfasser:	Zhang, Lin, Zhang, Yingjie, Li, Yangfan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier GmbH 01.10.2020
Schlagworte:	Deep learning Obstacle avoidance Path planning Rapidly-exploring random tree Ray tracing algorithm Waiting rule Deep learning Waiting rule Path planning Rapidly-exploring random tree Ray tracing algorithm Obstacle avoidance
ISSN:	0030-4026, 1618-1336
Online-Zugang:	Volltext
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