Drones have recently become one of the most important technological breakthroughs. They
have opened the horizon for a vast array of applications and paved the way for a diversity of …

In this paper, we propose a new aerial video dataset and benchmark for low altitude UAV
target tracking, as well as, a photo-realistic UAV simulator that can be coupled with tracking …

We present a photo-realistic training and evaluation simulator (Sim4CV)(http://www. sim4cv.
org) with extensive applications across various fields of computer vision. Built on top of the …

This paper proposes a systematic solution that uses an unmanned aerial vehicle (UAV) to
aggressively and safely track an agile target. It properly handles the challenging situations …

In this paper, an autonomous vision-based tracking system is presented to track a
maneuvering target for a rotorcraft unmanned aerial vehicle (UAV) with an onboard gimbal …

Perching on the moving platforms is a promising solution to enhance the endurance and
operational range of quadrotors, which could benefit the efficiency of a variety of air ground …

We address the challenging problem of tracking a moving target in cluttered environments
using a quadrotor. Our online trajectory planning method generates smooth, dynamically …

This paper proposes Elastic Tracker, a flexible trajectory planning framework that can deal
with challenging tracking tasks with guaranteed safety and visibility. Firstly, an object …

Deep learning and convolutional neural networks have become the dominant tool for
computer vision. These techniques excel at learning complicated representations from data …

Unmanned aerial vehicles, commonly known as drones, have many potential uses in real-
world applications. Drones require advanced planning and navigation algorithms to enable …