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|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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