OctoPath: An OcTree-Based Self-Supervised Learning Approach to Local Trajectory Planning for Mobile Robots

Autonomous mobile robots are usually faced with challenging situations when driving in complex environments. Namely, they have to recognize the static and dynamic obstacles, plan the driving path and execute their motion. For addressing the issue of perception and path planning, in this paper, we in...

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Bibliographic Details
Main Authors: Bogdan Trăsnea, Cosmin Ginerică, Mihai Zaha, Gigel Măceşanu, Claudiu Pozna, Sorin Grigorescu
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/21/11/3606