We discuss the evolution and state-of-the-art of the use of Unmanned Aerial Systems (UAS)
in the field of Photogrammetry and Remote Sensing (PaRS). UAS, Remotely-Piloted Aerial …

Recently, there has been growing interest in developing unmanned aircraft systems (UAS)
with advanced onboard autonomous capabilities. This paper describes the current state of …

Mobile robot navigation is typically regarded as a geometric problem, in which the robot's
objective is to perceive the geometry of the environment in order to plan collision-free paths …

How do you learn to navigate an Unmanned Aerial Vehicle (UAV) and avoid obstacles? One
approach is to use a small dataset collected by human experts: however, high capacity …

We present a micro aerial vehicle (MAV) system, built with inexpensive off-the-shelf
hardware, for autonomously following trails in unstructured, outdoor environments such as …

The ability to avoid collisions with moving obstacles, such as commercial aircraft is critical to
the safe operation of unmanned aerial vehicles (UAVs) and other air traffic. This paper …

The unmanned aerial vehicle (UAV) path planning problem is an important assignment in
the UAV mission planning. Based on the artificial potential field (APF) UAV path planning …

In built infrastructure monitoring, an efficient path planning algorithm is essential for robotic
inspection of large surfaces using computer vision. In this work, we first formulate the …

This paper demonstrates an innovative and simple solution for obstacle detection and
collision avoidance of unmanned aerial vehicles (UAVs) optimized for and evaluated with …

We describe a novel quadrotor Micro Air Vehicle (MAV) system that is designed to use
computer vision algorithms within the flight control loop. The main contribution is a MAV …