Unmanned aerial vehicle visual detection and tracking using deep neural networks: A performance benchmark

BKS Isaac-Medina, M Poyser… - Proceedings of the …, 2021 - openaccess.thecvf.com
Abstract Unmanned Aerial Vehicles (UAV) can pose a major risk for aviation safety, due to
both negligent and malicious use. For this reason, the automated detection and tracking of …

[PDF][PDF] Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmark

BKS Isaac-Medina, M Poyser, D Organisciak… - researchgate.net
Abstract Unmanned Aerial Vehicles (UAV) can pose a major risk for aviation safety, due to
both negligent and malicious use. For this reason, the automated detection and tracking of …

[PDF][PDF] Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmark

BKS Isaac-Medina, M Poyser, D Organisciak… - hubertshum.com
Abstract Unmanned Aerial Vehicles (UAV) can pose a major risk for aviation safety, due to
both negligent and malicious use. For this reason, the automated detection and tracking of …

Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmark

BKS Isaac-Medina, M Poyser… - 2021 IEEE/CVF …, 2021 - ieeexplore.ieee.org
Unmanned Aerial Vehicles (UAV) can pose a major risk for aviation safety, due to both
negligent and malicious use. For this reason, the automated detection and tracking of UAV is …

[PDF][PDF] Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmark

BKS Isaac-Medina, M Poyser, D Organisciak… - openaccess.thecvf.com
Abstract Unmanned Aerial Vehicles (UAV) can pose a major risk for aviation safety, due to
both negligent and malicious use. For this reason, the automated detection and tracking of …

Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmark

BKS Isaac-Medina, M Poyser, D Organisciak… - 2021 - nrl.northumbria.ac.uk
Unmanned Aerial Vehicles (UAV) can pose a major risk for aviation safety, due to both
negligent and malicious use. For this reason, the automated detection and tracking of UAV is …

Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmark

BKS Isaac-Medina, M Poyser, D Organisciak… - 2021 IEEE/CVF …, 2021 - computer.org
Abstract Unmanned Aerial Vehicles (UAV) can pose a major risk for aviation safety, due to
both negligent and malicious use. For this reason, the automated detection and tracking of …

Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmark

BKS Isaac-Medina, M Poyser, D Organisciak… - 2021 - durham-repository.worktribe.com
Unmanned Aerial Vehicles (UAV) can pose a major risk for aviation safety, due to both
negligent and malicious use. For this reason, the automated detection and tracking of UAV is …

Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmark

BKS Isaac-Medina, M Poyser, D Organisciak… - arXiv preprint arXiv …, 2021 - arxiv.org
Unmanned Aerial Vehicles (UAV) can pose a major risk for aviation safety, due to both
negligent and malicious use. For this reason, the automated detection and tracking of UAV is …

Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmark

BKS Isaac-Medina, M Poyser, D Organisciak… - arXiv e …, 2021 - ui.adsabs.harvard.edu
Abstract Unmanned Aerial Vehicles (UAV) can pose a major risk for aviation safety, due to
both negligent and malicious use. For this reason, the automated detection and tracking of …