Localizing Outdoor Mobile Robots in the Absence of GPS

Posted 17 Jan 2008 at 20:32 UTC by steve Share This

Many mobile robots rely on a combination of dead-reckoning and GPS for outdoor navigation. Dead-reckoning is prone to inaccuracies and GPS signals can vary and be lost altogether. What's a robot to do? Traditional solutions have focused on localizing from overhead maps or images, which works fine if the robot is a cruise missle but not so well for ground robots. A tree in overhead images is big and green but a ground robot sees a tree trunk. In a new paper, "Cost-based Registration using A Priori Data for Mobile Robot Localization" (PDF format) CMU researchers Ling Xu and Anthony Stentz present a cost-based algorithm that relies on kalman filters and particle filters to produce position estimates. They've field-tested their algorithm on the six-wheeled Crusher robot with some success. See also our earlier article on outdoor navigation research by Anthony Stentz.

See more of the latest robot news!

Recent blogs

30 Sep 2017 evilrobots (Observer)
10 Jun 2017 wedesoft (Master)
9 Jun 2017 mwaibel (Master)
25 May 2017 AI4U (Observer)
25 Feb 2017 steve (Master)
16 Aug 2016 Flanneltron (Journeyer)
27 Jun 2016 Petar.Kormushev (Master)
2 May 2016 motters (Master)
10 Sep 2015 svo (Master)
14 Nov 2014 Sergey Popov (Apprentice)
Share this page