A survey of deep learning techniques for vehicle detection from UAV images
S Srivastava, S Narayan, S Mittal - Journal of Systems Architecture, 2021 - Elsevier
Abstract “Unmanned aerial vehicles”(UAVs) are now being used for a wide range of
surveillance applications. Specifically, the detection of on-ground vehicles from UAV images …
surveillance applications. Specifically, the detection of on-ground vehicles from UAV images …
Vehicle detection from UAV imagery with deep learning: A review
Vehicle detection from unmanned aerial vehicle (UAV) imagery is one of the most important
tasks in a large number of computer vision-based applications. This crucial task needed to …
tasks in a large number of computer vision-based applications. This crucial task needed to …
Deep learning for unmanned aerial vehicle-based object detection and tracking: A survey
Owing to effective and flexible data acquisition, unmanned aerial vehicles (UAVs) have
recently become a hotspot across the fields of computer vision (CV) and remote sensing …
recently become a hotspot across the fields of computer vision (CV) and remote sensing …
M3detr: Multi-representation, multi-scale, mutual-relation 3d object detection with transformers
We present a novel architecture for 3D object detection, M3DETR, which combines different
point cloud representations (raw, voxels, bird-eye view) with different feature scales based …
point cloud representations (raw, voxels, bird-eye view) with different feature scales based …
Towards real-world prohibited item detection: A large-scale x-ray benchmark
Automatic security inspection using computer vision technology is a challenging task in real-
world scenarios due to various factors, including intra-class variance, class imbalance, and …
world scenarios due to various factors, including intra-class variance, class imbalance, and …
[HTML][HTML] A review on object detection in unmanned aerial vehicle surveillance
A Ramachandran, AK Sangaiah - International Journal of Cognitive …, 2021 - Elsevier
Purpose Computer vision in drones has gained a lot of attention from artificial intelligence
researchers. Providing intelligence to drones will resolve many real-time problems …
researchers. Providing intelligence to drones will resolve many real-time problems …
A systematic review of drone based road traffic monitoring system
Drone deployment has become crucial in a variety of applications, including solutions to
traffic issues in metropolitan areas and highways. On the other hand, data collected via …
traffic issues in metropolitan areas and highways. On the other hand, data collected via …
Fine-tuned YOLOv5 for real-time vehicle detection in UAV imagery: Architectural improvements and performance boost
MH Hamzenejadi, H Mohseni - Expert Systems with Applications, 2023 - Elsevier
Abstract Nowadays, Unmanned Aerial Vehicles (UAVs) have become useful for various civil
applications, such as traffic monitoring and smart parkings, where real-time vehicle detection …
applications, such as traffic monitoring and smart parkings, where real-time vehicle detection …
Industrial UAV-based unsupervised domain adaptive crack recognitions: From database towards real-site infrastructural inspections
The defect diagnosis of modern infrastructures is crucial to public safety. In this work, we
propose an unsupervised domain adaptive crack recognition framework. To fulfill the …
propose an unsupervised domain adaptive crack recognition framework. To fulfill the …
Target object detection from Unmanned Aerial Vehicle (UAV) images based on improved YOLO algorithm
A Jawaharlalnehru, T Sambandham, V Sekar… - Electronics, 2022 - mdpi.com
Aerial image-based target object detection has several glitches such as low accuracy in
multi-scale target detection locations, slow detection, missed targets, and misprediction of …
multi-scale target detection locations, slow detection, missed targets, and misprediction of …