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SLAM for robot navigation
Hakan Temeltas
*
, Demiz Kayak
*
Corresponding author for this work
Department of Control and Automation Engineering
Istanbul Technical University
Research output
:
Contribution to journal
›
Article
›
peer-review
37
Citations (Scopus)
Overview
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Keyphrases
Simultaneous Localization and Mapping
100%
Robot Navigation
100%
Computational Complexity
50%
State Vector
33%
Extended Kalman Filter
16%
Covariance Matrix
16%
Simulation Program
16%
Differential Drive Vehicle
16%
Mobile Robot Navigation
16%
Algorithm Simulation
16%
EKF(Extended Kalman Filter)
16%
Laser Range Finder
16%
Data Association
16%
Data Association Algorithm
16%
First Problem
16%
Computer Science
Robot Navigation
100%
Simultaneous localization and mapping
100%
Computational Complexity
50%
data association
33%
Extended Kalman Filter
33%
Error Covariance Matrix
16%
Differential Drive
16%
mobile robot navigation
16%
Simulation Program
16%
Range Finder
16%
Earth and Planetary Sciences
Kalman Filter
100%
Covariance
50%
Laser Range Finders
50%
Mathematics
Simultaneous localization and mapping
100%
Kalman Filtering
33%
data association
33%
Covariance Matrix
16%