Design and implementation of a novel obstacle avoidance scheme based on combination of CNN-based deep learning method and liDAR-based image processing approach-Reference-Cited by-同舟云学术

Design and implementation of a novel obstacle avoidance scheme based on combination of CNN-based deep learning method and liDAR-based image processing approach

Published:2018-08-26 Issue:2 Volume:35 Page:1695-1705
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Zhou Chengmin¹,Li Fei¹,Cao Wen²,Wang Cao¹,Wu Yihuai¹

Affiliation:

1. School of Cybersecurity, Chengdu University of Information Technology, Chengdu, China

2. School of Information Engineering, Southwest University of Science and Technology, Mianyang, China

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference29 articles.

1. A robot manipulator with adaptive fuzzy controller in obstacle avoidance;Sreekumar;Journal of the Institution of Engineers,2016

2. Reactive obstacle avoidance for highly maneuverable vehicles based on a two-stage optical flow clustering;Schaub;IEEE Transactions on Intelligent Transportation Systems,2017

3. Robust ground plane region detection using multiple visual cues for obstacle avoidance of a mobile robot;Lin;Robotica,2015

4. A study of fuzzy control with ant colony algorithm used in mobile robot for shortest path planning and obstacle avoidance;Yen;Microsystem Technologies,2016

5. Chiang S.Y. , Vision-based obstacle avoidance system with fuzzy logic for humanoid robots, Knowledge Engineering Review (2016), 1–11.

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Novel High-Precision Railway Obstacle Detection Algorithm Based on 3D LiDAR;Sensors;2024-05-15

2. Design of an Assisted Driving System for Obstacle Avoidance Based on Reinforcement Learning Applied to Electrified Wheelchairs;Electronics;2024-04-16

3. Automatic elevator shaft inspection using a multi-sensor measuring system and computer vision techniques;Journal of Building Engineering;2024-04

4. Deep Learning-Based Algorithm for Recognizing Tennis Balls;Applied Sciences;2022-11-26

5. Design and Implementation of a Rural Social Security System Based on Deep Learning;Wireless Communications and Mobile Computing;2021-08-23