FastSLAM Mapping at 90 Km/h

Posted 16 Jul 2003 at 17:18 UTC by steve Share This

A new research paper from the CMU Robotics Institute describes a new variation on the Simultaneous Localization and Mapping (SLAM) algorithm that is commonly used in mobile robots. The traditional approach to SLAM is based on extended Kalman filters. FastSLAM uses a particle filter that allows the robot to assimilate more landmarks into its internal map representation faster than traditional SLAM. The FastSLAM algorithms described in the paper were tested on the ACFR High Speed Vehicle, a standard pickup truck that has been converted into an autonomous robot capable of speeds up to 90 Km/h.

See more of the latest robot news!

Recent blogs

8 Apr 2014 Petar.Kormushev (Master)
6 Apr 2014 steve (Master)
4 Apr 2014 mwaibel (Master)
28 Mar 2014 shimniok (Journeyer)
10 Mar 2014 Flanneltron (Journeyer)
2 Mar 2014 wedesoft (Master)
1 Dec 2013 AI4U (Observer)
13 Nov 2013 jlin (Master)
23 Jun 2013 Mubot (Master)
13 May 2013 JLaplace (Observer)
Share this page