@inproceedings{0438fb7a9ae440b1865228e6cfdce549,
title = "A Robot Obstacle Avoidance Method Using Merged CNN Framework",
abstract = "In this paper, a merged convolution neural network (CNN) framework is proposed to automatically avoid obstacles. Although there are many methods for avoiding obstacles, previous methods mostly contain high energy-consuming and high cost. This paper aims to realize an image-based method with a monocular webcam. The experimental results illustrate that the proposed method can effectively avoid obstacles in mobile robot navigation.",
keywords = "Merged CNN framework, Obstacle avoidance method, ROS architecture",
author = "Chang, {Nai Hsiang} and Chien, {Yi Hsing} and Chiang, {Hsin Han} and Wang, {Wei Yen} and Hsu, {Chen Chien}",
year = "2019",
month = jul,
doi = "10.1109/ICMLC48188.2019.8949168",
language = "English",
series = "Proceedings - International Conference on Machine Learning and Cybernetics",
publisher = "IEEE Computer Society",
booktitle = "Proceedings of 2019 International Conference on Machine Learning and Cybernetics, ICMLC 2019",
note = "18th International Conference on Machine Learning and Cybernetics, ICMLC 2019 ; Conference date: 07-07-2019 Through 10-07-2019",
}