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 …

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 …

Vehicle detection in Intelligent Transportation Systems (ITS) is a key factor ensuring road
safety, as it is necessary for the monitoring of vehicle flow, illegal vehicle type detection …

Video streaming-based real-time vehicle identification and license plate recognition systems
are challenging to design and deploy in terms of real-time processing on edge, dealing with …

Foreign object debris (FOD) can critically damage aircraft engines as well as injure
personnel in an airport environment. Airfield inspectors routinely inspect runways for the …

Unmanned aerial vehicles (UAVs) equipped with computer vision capabilities have been
widely utilized in several remote sensing applications, such as precision agriculture …

Aerial vehicle detection has significant applications in aerial surveillance and traffic control.
The pictures captured by the UAV are characterized by many tiny objects and vehicles …

In this paper, we propose an original deep learning framework for the automated counting
and geolocation of palm trees from aerial images using convolutional neural networks. For …

Accurate detection and classification of wafer defects constitute an important component in
semiconductor manufacturing. It provides interpretable information to find the possible root …

For a majority of remote sensing applications of unmanned aerial vehicles (UAVs), the data
need to be downloaded to ground devices for processing, but this procedure cannot satisfy …