Difference between revisions of "Scan Matching Odometry and Multisensor SLAM"

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Revision as of 16:58, 16 April 2012

Title: Scan Matching Odometry and Multisensor SLAM
ScanMatching.jpg

Image:ScanMatching.jpg

Description: Starting from some C/C++ code for laser scan alignment and the covariance information associated to the matching, we are interested in the development of a library for the matching and fusion of laser scans under the ROS (www.ros.org) environment. From this we are interested in the development of an odometric system based on laser scan matching and in a Simultaneous Localization and Mapping system integrating scan matching with visual SLAM. The result is a complete navigation system that fuses laser and visual information to build consisten maps in an EKF-based environment.

tesi specialistica Brenna tesi primo livello Luperto - Mazuran

Codice da cui partire codice Brenna codice Luperto - Mazuran

Material:

  • a MS thesis which describes the scan matching algorithms
  • a BS thesis which implements a prototype of the system

Expected outcome:

  • a complete systema that build maps integrating laser scan and visual informtion

Required skills or skills to be acquired:

Tutor: MatteoMatteucci (matteo.matteucci@polimi.it), SimoneCeriani (ceriani@elet.polimi.it)
Start: 2012/04/01
Students: 1 - 2
CFU: 10 - 20
Research Area: Robotics
Research Topic: none
Level: Bs, Ms
Type: Thesis
Status: Active