A new lightweight network for efficient UAV object detection
WEBJun 10, 2024 · Unmanned Aerial Vehicle (UAV) perform object detection tasks using onboard cameras and embedded systems. They also find extensive research and applications in civilian and military domains,...
Deep learning for unmanned aerial vehicles detection: A review
WEBFeb 1, 2024 · The proposed method was evaluated using three different UAV platforms, yielding an accuracy of 97.93% when an intruder UAV is hovering close by and 82.28% where there is no intruder UAV nearby. This model is designed to work at a short range.
Special Issue : UAV Detection, Classification, and Tracking - MDPI
WEBThis Special Issue aims to highlight advances in the field of UAV detection, classification, and tracking using a variety of single and multi-sensor techniques. Topics include, but are not limited to: Visual UAV detection and classification; IR UAV detection and classification; Radar UAV detection and classification; RF UAV detection and ...
A Comprehensive Survey of Unmanned Aerial Vehicles Detection …
WEBMar 1, 2024 · In this survey study, ML-aided UAV detection and classification using some of the latest technologies, such as (1) RF-based UAV detection, (2) visual data (images/video)-based UAV detection, (3) acoustic/sound-based UAV detection, and finally (4) radar-based UAV detection, were extensively reviewed.
Deep Learning for UAV-based Object Detection and Tracking: A …
WEBOct 25, 2021 · This paper provides a comprehensive survey on the research progress and prospects of DL-based UAV object detection and tracking methods.
A Survey of Object Detection for UAVs Based on Deep Learning
WEBDec 29, 2023 · Therefore, this paper provides a survey on object detection for UAVs based on deep learning. Firstly, we analyze the types and sensors of UAVs. Then, we point out the main differences between UAV object detection and common object detection, and the main challenges in UAV object detection.
Deep Learning for Unmanned Aerial Vehicle-Based Object Detection …
WEBInspired by the recent success of deep learning (DL), many advanced object detection and tracking approaches have been widely applied to various UAV-related tasks, such as environmental monitoring, precision agriculture, and traffic management.
WEBThis paper focuses on UAV with a maximum take-off weight of fewer than 30 kilograms, and provides a comprehensive review of deep learning (DL)-based UAV object detection and tracking methods by summarizing the latest published work, discussing the key issues and difficult problems, and delineating areas of future development.
Modern methods for UAV detection, classification, and tracking
WEBIn this article, the authors describe the main UAV detection methods: acoustic detection, radio frequency signal detection, visual detection, and radar detection. The authors compare and analyze the benefits and drawbacks of the presented methods and draw proposals for using the techniques and their combinations in real-life scenarios.
Lightweight air-to-air unmanned aerial vehicle target detection …
WEBJan 31, 2024 · We have established a novel dataset for air-to-air unmanned aerial vehicle (UAV) target detection, taking into account the complexity of backgrounds in air-to-air scenarios.