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 …

This paper presents an automatic solution to the problem of detecting and counting cars in
unmanned aerial vehicle (UAV) images. This is a challenging task given the very high …

Deep learning-based object detection solutions emerged from computer vision has
captivated full attention in recent years. The growing UAV market trends and interest in …

In the contemporary era, the global explosion of traffic has created many eye-catching
concerns for policymakers. This not only enhances pollution but also leads to several road …

This paper addresses the problem of car detection from aerial images using Convolutional
Neural Networks (CNNs). This problem presents additional challenges as compared to car …

As a new type of aerial robotics, drones are easy to use and inexpensive, which has
facilitated their acquisition by individuals and organizations. This unequivocal and …

The detection of the objects in the ariel image has a significant impact on the field of parking
space management, traffic management activities and surveillance systems. Traditional …

Vehicle detection in aerial images is a crucial image processing step for many applications
like screening of large areas. In recent years, several deep learning based frameworks have …

Abstract Vehicle detection in Unmanned Aerial Vehicle (UAV) imagery plays a crucial role in
a variety of applications. However, UAVs are usually small, very maneuverable, and can …