Ensuring UAV Safety: A Vision-Only and Real-Time Framework for Collision Avoidance Through Object Detection, Tracking, and Distance Estimation-Reference-Cited by-同舟云学术

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Ensuring UAV Safety: A Vision-Only and Real-Time Framework for Collision Avoidance Through Object Detection, Tracking, and Distance Estimation

Published:2024-06-04 Issue: Volume:135 Page:1072-1079
ISSN:
Container-title:2024 International Conference on Unmanned Aircraft Systems (ICUAS)
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Author:

Karampinis Vasileios¹,Arsenos Anastasios¹,Filippopoulos Orfeas²,Petrongonas Evangelos¹,Skliros Christos²,Kollias Dimitrios³,Kollias Stefanos¹,Voulodimos Athanasios¹

Affiliation:

1. School of Electrical & Computer Engineering, National Technical University Athens,Polytechnioupoli,Zografou,Greece,15780

2. Hellenic Drones S.A.,Piraeus,Greece,18533

3. School of Electronic Engineering Computer Science, Queen Mary University of London,UK

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10556795/10556824/10556937.pdf?arnumber=10556937

Reference34 articles.

1. A survey of autonomous vision-based See and Avoid for Unmanned Aircraft Systems

2. Yolox: Exceeding yolo series in 2021;Ge;arXiv preprint,2021

3. End-to-End Object Detection with Transformers

4. DiffusionDet: Diffusion Model for Object Detection

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