Sense and avoid for unmanned aircraft systems

Author:

Fasano Giancarmine,Accado Domenico,Moccia Antonio,Moroney David

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Space and Planetary Science,Aerospace Engineering

Cited by 56 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. Building interfaces between unmanned aircraft systems (UAS), air traffic controllers (ATCo), and the national airspace system (NAS): A software training platform;Transportation Engineering;2024-09

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. 3D LiDAR Sensor Characterization for Obstacle Detection in Autonomous UAS Applications;2024 11th International Workshop on Metrology for AeroSpace (MetroAeroSpace);2024-06-03

4. Extended Kalman Filter Based Data Fusion Algorithm Implemented in a Sense and Avoid System for a Mini-UAV Application;2024 11th International Workshop on Metrology for AeroSpace (MetroAeroSpace);2024-06-03

5. A Review of Detection-Related Multiple Object Tracking in Recent Times;2024 26th International Conference on Advanced Communications Technology (ICACT);2024-02-04

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