With high efficiency and efficacy, the trackers based on the discriminative correlation filter
have experienced rapid development in the field of unmanned aerial vehicle (UAV) over the …

In this paper, a new optimization algorithm called Motion-Encoded Genetic Algorithm with
Multiple Parents (MEGA-MPC) is developed to locate moving targets using multiple …

For the automatic tracking of unknown moving targets on the ground, most of the commonly
used methods involve circling above the target. With such a tracking mode, there is a moving …

Unmanned aerial vehicles (UAV) have been widely used in various fields, and their invasion
of security and privacy has aroused social concern. Several detection and tracking systems …

This study aims to solve the problem of sparse reward and local convergence when using a
reinforcement learning algorithm as the controller of an AUV. Based on the generative …

In this paper, we propose a vision-based unmanned aerial vehicle (UAV) chasing system
that can be embedded in a pursuer UAV (pUAV) to protect from attacks by an evader UAV …

Unmanned aerial vehicles (UAVs) have been widely used in various application domains,
but unauthorized UAVs may pose a threat to public safety due to violation of aviation …

This work presents an online learning-based control method for improved trajectory tracking
of unmanned aerial vehicles using both deep learning and expert knowledge. The proposed …

Unmanned Aerial Vehicle (UAV), due to their high mobility and the ability to cover areas of
different heights and locations at relatively low cost, are increasingly used for disaster …

Unmanned aerial vehicles (UAVs) with limited field of view are utilized to track a moving
ground target continuously in urban environment. In urban environment, the sight lines of …