On-board Obstacle Avoidance in the Teleoperation of Unmanned Aerial Vehicles

In this paper, we apply the discriminative-based algorithm (also called visual tracking-by-detection method) to track aircraft/intruder in the midair using UAVs, which employ

(3D cameras), such as the Microsoft Kinect or Asus Xtion PRO LIVE, acquire both visual information (RGB) like regular camera systems, along with per-pixel depth information (D) at

Th e unmanned platform is additionally equipped with methane detection sensors as well as an IT system for storing and processing data from the inspection.. Th is

This paper proposed the use of vision based Fuzzy control approaches for autonomous navigation tasks with Unmanned Aerial Vehicles (UAVs).. It is shown the advantages of using

The presented strategy is based only on the visual information given by an adaptive tracking method based on the color information, which jointly with the dynamics of a camera fixed

This pixel difference between the matched key points of both current to the previous frame is used to measure the distance between object and UAV.. The basic

As a future work, using the color detection algorithm, a ground-heading RGB camera and the ultrasonic distance sensor later can be combined for the navigation and landing based

The moving platform of the parallel manipulator was outfitted with a Point Gray Firefly MV [9] camera fit with a 2.4 mm focal length lens to provide input for the eye-in-hand