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On-Board Small-Scale Object Detection for Unmanned Aerial Vehicles (UAVs)
Drones, 2023 Object detection is a critical task that becomes difficult when dealing with onboard detection using aerial images and computer vision technique. The main challenges with aerial images are small target sizes, low resolution, occlusion, attitude, and ...
Zubair Saeed +4 more
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Threats from and Countermeasures for Unmanned Aerial and Underwater Vehicles
Sensors, 2022 The use of unmanned aerial vehicles (UAVs) for different applications has increased tremendously during the past decade. The small size, high maneuverability, ability to fly at predetermined coordinates, simple construction, and affordable price have ...
Wahab Khawaja +5 more
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A Literature Survey of Unmanned Aerial Vehicle Usage for Civil Applications [PDF]
Journal of Aerospace Technology and Management, 2021 Unmanned vehicles/systems (UVs/USs) technology has exploded in recent years. Unmanned vehicles are operated in the air, on the ground, or on/in the water.
Mithra Sivakumar, Naga Malleswari TYJ
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Data in BriefForest ecosystems face increasing wildfire threats, demanding prompt and precise detection methods to ensure efficient fire control. However, real-time forest fire data accessibility and timeliness require improvement. Our study addresses the challenge through the introduction of the Unmanned Aerial Vehicles (UAVs) based forest fire database (UAVs-FFDB)
Shamsul Masum +2 more
exaly +5 more sources
Unmanned Aerial Vehicle (UAV)-Based Remote Sensing for Early-Stage Detection of Ganoderma [PDF]
Remote Sensing, 2022 Early detection of Basal Stem Rot (BSR) disease in oil palms is an important plantation management activity in Southeast Asia. Practical approaches for the best strategic approach toward the treatment of this disease that originated from Ganoderma Boninense require information about the status of infection.
Parisa Ahmadi +3 more
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UAV-YOLO: Small Object Detection on Unmanned Aerial Vehicle Perspective [PDF]
Sensors, 2020 Object detection, as a fundamental task in computer vision, has been developed enormously, but is still challenging work, especially for Unmanned Aerial Vehicle (UAV) perspective due to small scale of the target. In this study, the authors develop a special detection method for small objects in UAV perspective.
Liu, Mingjie +5 more
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Deep Learning-Based Ground Target Detection and Tracking for Aerial Photography from UAVs
Applied Sciences, 2021 Target detection and tracking can be widely used in military and civilian scenarios. Unmanned aerial vehicles (UAVs) have high maneuverability and strong concealment, thus they are very suitable for using as a platform for ground target detection and ...
Kaipeng Wang, Zhijun Meng, Zhe Wu
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Drones, 2022 This article presents a survey of simultaneous localization and mapping (SLAM) and data fusion techniques for object detection and environmental scene perception in unmanned aerial vehicles (UAVs). We critically evaluate some current SLAM implementations
Abhishek Gupta, Xavier Fernando
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Aerospace, 2023 Unmanned Ground Vehicles (UGVs) and Unmanned Aerial Vehicles (UAVs) are commonly used for various purposes, and their cooperative systems have been developed to enhance their capabilities. However, tracking and interacting with dynamic UAVs poses several
Haojun Luo, Chih-Yung Wen
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Individual Tree Detection in a Eucalyptus Plantation Using Unmanned Aerial Vehicle (UAV)-LiDAR [PDF]
Remote Sensing, 2020 The present study addresses the tree counting of a Eucalyptus plantation, the most widely planted hardwood in the world. Unmanned aerial vehicle (UAV) light detection and ranging (LiDAR) was used for the estimation of Eucalyptus trees. LiDAR-based estimation of Eucalyptus is a challenge due to the irregular shape and multiple trunks.
Juan Picos +4 more
openaire +3 more sources