Mobile robot localization based on an inaccurate map

IEEE International Conference on Intelligent Robots and Systems

Volumn 1, Issue , 2001, Pages 399-404

  Tomono, Masahiro ^a   Yuta, Shin'ichi ^a  

^a UNIVERSITY OF TSUKUBA   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

MARKOV PROCESSES; MATHEMATICAL MODELS; PROBABILITY DENSITY FUNCTION; ROBOTICS; UNCERTAIN SYSTEMS;

DATA FUSION PROCESS; GLOBAL LOCALIZATION; MAP ERRORS; MARKOV LOCALIZATION;

MOBILE ROBOTS;

EID: 0035559776     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (15)

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5. Monte Carlo localization: Efficient position estimation for mobile robots
6. Feature based condensation for mobile robot localization
7. Xavier: A robot navigation architecture based on partially observable Markov decision process models
8. Simultaneous map building and localization for an autonomous mobile robot
9. Mobile robot self-localization using PDAB
10. Bayesian estimation and Kalman filtering a unified framework for mobile robot localization
11. A global topological map formed by local metric maps
12. Integrating topological and metric maps for mobile robot navigation: A statistical approach
13. Towards a topological representation of indoor environments: A landmark-base approach
14. A framework for indoor navigation based on a partially quantitative map
15. Position estimation of mobile robots with internal and external sensors using uncertainty evolution technique