Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/46783
Title: EKF based simultaneous localization and mapping
Authors: Reeti Burman
Keywords: DRNTU::Engineering::Electrical and electronic engineering
Issue Date: 2010
Abstract: 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.
Description: 51 p.
URI: http://hdl.handle.net/10356/46783
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Theses

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