EKF based simultaneous localization and mapping

51 p.

Bibliographic Details
Main Author: Reeti Burman
Other Authors: Wang Han
Format: Thesis
Published: 2011
Subjects:
Online Access:http://hdl.handle.net/10356/46783
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Reeti Burman
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description 51 p.
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spelling ntu-10356/467832023-07-04T15:31:30Z EKF based simultaneous localization and mapping Reeti Burman Wang Han School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering 51 p. This thesis presents a solution to Simultaneous Localization and Mapping (SLAM) problem, which comprises of two tasks to be done simultaneously, that is, localizing robot's pose and building up a map, using data generated from scan-matching algorithm as estimated odometry data. An Extended Kalman filter approach is used to process the scan-matching data obtained from the information acquired from die laser scanner mounted on the robot. Master of Science (Computer Control and Automation) 2011-12-23T09:53:13Z 2011-12-23T09:53:13Z 2010 2010 Thesis http://hdl.handle.net/10356/46783 Nanyang Technological University application/pdf
spellingShingle DRNTU::Engineering::Electrical and electronic engineering
Reeti Burman
EKF based simultaneous localization and mapping
title EKF based simultaneous localization and mapping
title_full EKF based simultaneous localization and mapping
title_fullStr EKF based simultaneous localization and mapping
title_full_unstemmed EKF based simultaneous localization and mapping
title_short EKF based simultaneous localization and mapping
title_sort ekf based simultaneous localization and mapping
topic DRNTU::Engineering::Electrical and electronic engineering
url http://hdl.handle.net/10356/46783
work_keys_str_mv AT reetiburman ekfbasedsimultaneouslocalizationandmapping