AirTrack: Onboard Deep Learning Framework for Long-Range Aircraft Detection and Tracking

Author:

Ghosh Sourish1,Patrikar Jay1,Moon Brady1,Hamidi Milad Moghassem1,Scherer Sebastian1

Affiliation:

1. Robotics Institute, Carnegie Mellon University,Pittsburgh,PA,USA,15213

Funder

Army Research Laboratory (ARL)

National Science Foundation

Publisher

IEEE

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. Common Corruptions for Evaluating and Enhancing Robustness in Air-to-Air Visual Object Detection;IEEE Robotics and Automation Letters;2024-07

2. Ensuring UAV Safety: A Vision-Only and Real-Time Framework for Collision Avoidance Through Object Detection, Tracking, and Distance Estimation;2024 International Conference on Unmanned Aircraft Systems (ICUAS);2024-06-04

3. SANet: Small but Accurate Detector for Aerial Flying Object;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

4. MMAUD: A Comprehensive Multi-Modal Anti-UAV Dataset for Modern Miniature Drone Threats;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

5. An Augmented Dataset for Vision-based Unmanned Aerial Vehicles Detection and Tracking;2023 IEEE Applied Imagery Pattern Recognition Workshop (AIPR);2023-09-27

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