Effective Free-Driving Region Detection for Mobile Robots by Uncertainty Estimation Using RGB-D Data

Effective Free-Driving Region Detection for Mobile Robots by Uncertainty Estimation Using RGB-D Data

Accurate segmentation of drivable areas and road obstacles is critical for autonomous mobile robots to navigate safely in indoor and outdoor environments. With the fast advancement of deep learning, mobile robots may now perform autonomous navigation based on what they learned in the learning phase....

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Bibliographic Details
Main Authors: Toan-Khoa Nguyen, Phuc Thanh-Thien Nguyen, Dai-Dong Nguyen, Chung-Hsien Kuo
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Sensors
Subjects:
mobile robots
self-supervised learning
semantic segmentation
automatic labeling
Online Access:https://www.mdpi.com/1424-8220/22/13/4751

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