Slam
An implementation of particle filtering algorithm for simultaneous localization and mapping (SLAM) in autonomous robots.
Install / Use
/learn @vatsan/SlamREADME
Simultaneous Localization and Mapping through Particle Filtering
An implementation of particle filtering algorithm for Simultaneous Localization and Mapping (SLAM)
Update: This was my assignment from grad school in 2007, I have not attempted to run it since and neither should you be attempting to run this code. I uploaded this to GitHub as it brough back pleasant old memories.
Usage
python slam.py <datafile [ex:data/localized.data]> <cell size [ex:20]> <Type (-1/0/1/2,3) [ex:0]>"
Demo
Here's a movie demonstrating SLAM in action on the file data/localized.data. This is a simulation of the robot receiving real-time data from its LASER range finder and SONAR and using SLAM to build a map of its surrounding and positioning itself in that environment.
