CNN-Based Vision Model for Obstacle Avoidance of Mobile Robot

CNN-Based Vision Model for Obstacle Avoidance of Mobile Robot

Exploration in a known or unknown environment for a mobile robot is an essential application. In the paper, we study the mobile robot obstacle avoidance problem in an indoor environment. We present an end-to-end learning model based Convolutional Neural Network (CNN), which takes the raw image obtai...

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Bibliographic Details
Main Authors: Liu Canglong, Zheng Bin, Wang Chunyang, Zhao Yongting, Fu Shun, Li Haochen
Format: Article
Language:English
Published: EDP Sciences 2017-01-01
Series:MATEC Web of Conferences
Subjects:
End-to-End Learning
CNN;
Obstacle Avoidance
ROS
Online Access:https://doi.org/10.1051/matecconf/201713900007

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