Autonomous UAV Navigation for Target Detection in Visually Degraded and GPS Denied Environments
Author:
Affiliation:
1. School of Electrical Engineering and Robotics Queensland University of Technology,Brisbane City,QLD,Australia,4000
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10115529/10115530/10115544.pdf?arnumber=10115544
Reference27 articles.
1. Multi-modal Visual-Thermal Saliency-based Object Detection in Visually-degraded Environments
2. Autonomous UAV Navigation for Active Perception of Targets in Uncertain and Cluttered Environments
3. Autonomous exploration of visually-degraded environments using aerial robots
4. Graph-based Path Planning for Autonomous Robotic Exploration in Subterranean Environments
5. A Framework for UAV Navigation and Exploration in GPS-Denied Environments
Cited by 4 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 Comprehensive Framework for UAV-Based Autonomous Target Finding in Environments with Limited Global Navigation Satellite Systems and Reduced Visibility;2024 International Conference on Unmanned Aircraft Systems (ICUAS);2024-06-04
2. SMA: A Suitable-Matching Area Selection Dataset;2024 7th International Conference on Advanced Algorithms and Control Engineering (ICAACE);2024-03-01
3. Framework for Autonomous UAV Navigation and Target Detection in Global-Navigation-Satellite-System-Denied and Visually Degraded Environments;Remote Sensing;2024-01-25
4. Suitable-Matching Areas’ Selection Method Based on Multi-Level Saliency;Remote Sensing;2023-12-30
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