Landing Area Recognition using Deep Learning for Unammaned Aerial Vehicles
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9204011/9205768/09205793.pdf?arnumber=9205793
Cited by 7 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. AI-powered vision-aided navigation and ground obstacles detection for UAM approach and landing;2023 IEEE/AIAA 42nd Digital Avionics Systems Conference (DASC);2023-10-01
2. Autonomous Emergency Landing on 3D Terrains: Approaches for Monocular Vision-based UAVs;2023 International Conference on Advanced Robotics and Mechatronics (ICARM);2023-07-08
3. RHFSafeUAV: Real-Time Heuristic Framework for Safe Landing of UAVs in Dynamic Scenarios;2023 International Conference on Unmanned Aircraft Systems (ICUAS);2023-06-06
4. A Plug-and-Play TinyML-based Vision System for Drone Automatic Landing;2023 IEEE International Workshop on Metrology for Industry 4.0 & IoT (MetroInd4.0&IoT);2023-06-06
5. Vision-Based UAV Landing with Guaranteed Reliability in Adverse Environment;Electronics;2023-02-15
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