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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …