Sensors

Vision-Based 3D Navigation for UAVs

Posted 14 Apr 2006 at 14:24 UTC by steve Share This

A new research paper from the USC Center for Robotics and Embedded Systems offers a 3D navigation system for Unmanned Aerial Vehicles (UAVs). The paper, titled Vision-Based 3D Navigation for an Autonomous Helicopter (PDF format), describes a vision system that uses several image processing algorithms including optical flow and stereo vision. The vision system is combined with a Probabilistic Roadmap path-planner to implement a 3D wandering mode. The UAV is able to plan a path through a typical urban environment, taking into account an existing 3D model as well us unexpected obstacles detected by the vision system. The researchers investigated such details as the optimum camera angle for optical flow based centering, egomotion compenstation, and control strategies. A Bergen Industrial Twin RC helicopter was used as the base for the UAV.

See more of the latest robot news!

Recent blogs

29 May 2016 mwaibel (Master)
24 May 2016 shimniok (Journeyer)
2 May 2016 motters (Master)
20 Apr 2016 Petar.Kormushev (Master)
6 Nov 2015 wedesoft (Master)
26 Oct 2015 steve (Master)
20 Oct 2015 Flanneltron (Journeyer)
10 Sep 2015 svo (Master)
6 May 2015 spirit (Journeyer)
14 Nov 2014 Sergey Popov (Apprentice)
X
Share this page