Detection of UAVs on a collision course using optical flow-Reference-Cited by-同舟云学术

Detection of UAVs on a collision course using optical flow

Published:2024-06-27 Issue: Volume: Page:138-144
ISSN:
Container-title:Proceedings of the 2024 4th International Conference on Robotics and Control Engineering
language:
Short-container-title:

Author:

Cabrera Juan José¹^ORCID,Gil Arturo²^ORCID,Payá Luis²^ORCID,Santo Antonio³^ORCID,Reinoso Oscar³^ORCID,Rodríguez David⁴^ORCID

Affiliation:

1. Institute for Engineering Research (I3E), Miguel Hernandez University, Spain

2. Institute for Engineering Research (I3E), Miguel Hernández University, Spain

3. Institute for Engineering Research (I3E), Miguel Hernández University, Spain and Valencian Graduate School and Research Network for Artificial Intelligence (ValgrAI), Spain

4. Abionica Solutions S.L.P., Spain

Funder

MCIN/AEI/10.13039/501100011033 and European Union ?NextGenerationEU?/PRTR.

Ayudas para la Formación de Profesorado Universitario

MCIN/AEI/10.13039/501100011033

Employment of algorithms for in-flight situational awareness using computer vision

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3674746.3674795

Reference26 articles.

1. Review of optical flow technique for moving object detection

2. Abdulla Al-Kaff, Fernando García, David Martín, Arturo De La Escalera, and José María Armingol. 2017. Obstacle Detection and Avoidance System Based on Monocular Camera and Size Expansion Algorithm for UAVs. Sensors 17, 5 (2017).

3. Positioning and perception in LIDAR point clouds

4. Moving Object Tracking Based on Sparse Optical Flow with Moving Window and Target Estimator

5. Frank Christnacher Sébastien Hengy Martin Laurenzis Alexis Matwyschuk Pierre Naz Stéphane Schertzer and Gwenaél Schmitt. 2016. Optical and acoustical UAV detection. In Security + Defence.