Robust and efficient vehicle detection in monocular vision is an important task in Intelligent
Transportation Systems. With the development of computer vision techniques and …

With ever increasing global demand and depleting resources for fossil fuels, oil and gas
industry is now positively looking for advanced robotic solutions to increase their productivity …

Existing counting methods often adopt regression-based approaches and cannot precisely
localize the target objects, which hinders the further analysis (eg, high-level understanding …

Remotely Piloted Aircraft (RPA) is presently in continuous development at a rapid pace.
Unmanned Aerial Vehicles (UAVs) or more extensively Unmanned Aerial Systems (UAS) …

This paper introduces VEDAI: Vehicle Detection in Aerial Imagery a new database of aerial
images provided as a tool to benchmark automatic target recognition algorithms in …

The focus of this paper is on surveying UAV-based systems for traffic monitoring and
management. Although there has been voluminous research on the subject, unmanned …

Like computer vision before, remote sensing has been radically changed by the introduction
of deep learning and, more notably, Convolution Neural Networks. Land cover classification …

Recently, technologies related to Unmanned Aerial Vehicle (UAV) are growing rapidly
particularly sensors, networking, and processing technologies. Accordingly, governments …

The spread of Unmanned Aerial Vehicles (UAVs) in the last decade revolutionized many
applications fields. Most investigated research topics focus on increasing autonomy during …

Real-time object detection is crucial for many applications of Unmanned Aerial Vehicles
(UAVs) such as reconnaissance and surveillance, search-and-rescue, and infrastructure …