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

25 May 2017 AI4U (Observer)
24 May 2017 wedesoft (Master)
13 May 2017 mwaibel (Master)
30 Mar 2017 shimniok (Journeyer)
25 Feb 2017 steve (Master)
16 Aug 2016 Flanneltron (Journeyer)
9 Jul 2016 evilrobots (Observer)
27 Jun 2016 Petar.Kormushev (Master)
2 May 2016 motters (Master)
10 Sep 2015 svo (Master)
Share this page