uncleflo
Registered since September 28th, 2017
Has a total of 4281 bookmarks.
Showing top Tags within 2 bookmarks
howto information development guide reference administration design website software solution online service product business uk tool company linux code server application system web list video marine create data experience tutorial description explanation learn technology build article blog world project boat download windows lookup security free performance javascript technical london beautiful control network tools support course file research purchase image library programming youtube example php install opensource construction community html quality computer feature profile power browser music platform process mobile work user share manage professional database hardware buy industry advice internet dance developer installation 3d camera search access customer material travel standard money test develop review documentation css photography engineering webdesign engine digital device speed event api source management program question client phone discussion simple content water story marketing yacht app account setup interface package idea fast communication compare cheap script market study easy live google resource operation contact demonstration startup
Tag selected: carlo.
Looking up carlo tag. Showing 2 results. Clear
Monte Carlo Localization and Code Tutorial
Saved by uncleflo on April 15th, 2012.
I have been asked to explain how the MCL class works. Rather than giving a long written explanation, I've chosen to give a video tutorial. Remember that the source code that I am referring in the video is available for download. Enjoy! Monday, August 23, 2010 Posted by clemency
source carlo monte localization guide tutorial development code lejos mcl
Monte Carlo Localization
Saved by uncleflo on March 29th, 2012.
Monte Carlo Localization, also known as Particle Filtering, is a relatively new approach to the problem of robot localization - estimating a robot's location in a known environment, given its movements and sensor reading over time. In this project you are to solve the global localization problem, where the robot does not know its starting position but needs to figure out where it is. (This is in contrast to the position tracking problem, where the robot knows its starting position and just need to accommodate the small errors in its odometry that build up over time.) To make things a bit simpler, you will solve this problem in a one dimensional world. Since the on-board computation abilities of the RCX are limited, we remote control the robot from a base computer. You are given skeleton programs for the robot and base computer, which are described below.
monte carlo localization algorithm tutorial guide information science robot university location environment position particle filtering mcl
No further bookmarks found.