A review of UAV Visual Detection and Tracking Methods
Not on the map. Why?
Abstract (arXiv)
This paper presents a review of techniques used for the detection and tracking of UAVs or drones. There are different techniques that depend on collecting measurements of the position, velocity, and image of the UAV and then using them in detection and tracking. Hybrid detection techniques are also presented. The paper is a quick reference for a wide spectrum of methods that are used in the drone detection process.
Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 9 of its 64 references that are in the map. First posted on arXiv 8 Jun 2023.
Builds on
9 of 64 references.
References · 9
- 2015Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networkscited by 9,617
- 2020End-to-End Object Detection with Transformerscited by 7,384
- 2015SSD: Single Shot MultiBox Detectorcited by 3,125
- 2018YOLOv3: An Incremental Improvementcited by 2,652
- 2018Object Detection with Deep Learning: A Reviewcited by 524
- 2017AirSim: High-Fidelity Visual and Physical Simulation for Autonomous Vehiclescited by 517
- 2019Deep Learning in Video Multi-Object Tracking: A Surveycited by 107
- 2018Towards Visible and Thermal Drone Monitoring with Convolutional Neural Networkscited by 8
- 2021Track Boosting and Synthetic Data Aided Drone Detectioncited by 3
Built on by
Citing papers per year: 2024: 2; 2025: 0; 2026: 1.
3 papers.