A Comparative Study of Different Collision Avoidance Systems With Local Path Planning for Autonomous Underwater Vehicles
Author:
Affiliation:
1. Faculty of Mechanical and Electrical Engineering Polish Naval Academy, Gdynia, Poland
2. Faculty of Navigation and Naval Weapon Polish Naval Academy, Gdynia, Poland
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/6287639/10380310/10509790.pdf?arnumber=10509790
Reference73 articles.
1. A real-time monocular vision-based frontal obstacle detection and avoidance for low cost UAVs in GPS denied environment
2. Vision-Based Navigation Techniques for Unmanned Aerial Vehicles: Review and Challenges
3. Convolutional Neural Networks for Classifying Electronic Components in Industrial Applications
4. Review on Vision-Based Control Using Artificial Intelligence in Autonomous Ground Vehicle
5. Review of Obstacle Detection Systems for Collision Avoidance of Autonomous Underwater Vehicles Tested in a Real Environment
Cited by 2 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-Star (A*) with Map Processing for the Global Path Planning of Autonomous Underwater and Surface Vehicles Operating in Large Areas;Applied Sciences;2024-09-07
2. OGM-Based Real-Time Obstacle Detection and Avoidance Using a Multi-beam Forward Looking Sonar;Journal of Ocean Engineering and Technology;2024-08-31
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