A Bio-Inspired Simultaneous Surface and Underwater Risk Assessment Method Based on Stereo Vision for USVs in Nearshore Clean Waters-Reference-Cited by-同舟云学术

A Bio-Inspired Simultaneous Surface and Underwater Risk Assessment Method Based on Stereo Vision for USVs in Nearshore Clean Waters

Published:2023-01 Issue:1 Volume:8 Page:360-367
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Xue Kaiwen¹^ORCID,Liu Jiawei²^ORCID,Xiao Nan²^ORCID,Ji Xiaoqiang¹^ORCID,Qian Huihuan¹^ORCID

Affiliation:

1. Shenzhen Institute of Artificial Intelligence and Robotics for Society (AIRS), The Chinese University of Hong Kong, Shenzhen, Guangdong, China

2. School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, Guangdong, China

Funder

National Natural Science Foundation of China

Shenzhen Institute of Artificial Intelligence and Robotics for Society

Shenzhen Science and Technology Innovation Commission, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/7083369/9963768/09691812.pdf?arnumber=9691812

Reference28 articles.

1. Radar based collision detection developments on USV ROAZ II

2. Persistent automatic tracking of multiple surface vessels by fusing radar and lidar

3. Obstacle detection and avoidance for an Autonomous Surface Vehicle using a profiling sonar

4. Real Time Underwater Obstacle Avoidance and Path Re-planning Using Simulated Multi-beam Forward Looking Sonar Images for Autonomous Surface Vehicle

5. Application of A* algorithm for real-time path re-planning of an unmanned surface vehicle avoiding underwater obstacles

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