A relative map approach to SLAM based on shift and rotation invariants

Robotics and Autonomous Systems

Volumn 55, Issue 1, 2007, Pages 50-61

  Martinelli, Agostino ^a,b   Nguyen, Viet ^b   Tomatis, Nicola ^c   Siegwart, Roland ^b  

^a INRIA RHÔNE ALPES   (France)

^b ETH ZURICH   (Switzerland)

^c BlueBotics SA   (Switzerland)

Author keywords

EKF; Localization; Mapping; Mobile robot navigation; SLAM

Indexed keywords

COMPUTATIONAL METHODS; DATA REDUCTION; GRAPH THEORY; INVARIANCE; KALMAN FILTERING; MOBILE ROBOTS; RANDOM PROCESSES; ROTATION;

MOBILE ROBOT NAVIGATION; SIMULTANEOUS LOCALIZATION AND MAPPING (SLAM); VICTORIA PARK DATASET;

CONFORMAL MAPPING;

EID: 33751171099     PISSN: 09218890     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.robot.2006.06.009     Document Type: Article

References (16)

1. M. Altermatt, A. Martinelli, N. Tomatis, R. Siegwart, SLAM with corner features based on a relative map, in: Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS'2004, September 2004, Sendai, Japan, 2004
2. Bar-Shalom, Li X.R., and Kirubarajan T. Estimation with Applications to Tracking and Navigation (2001), John Wiley and Sons
3. J.A. Castellanos, J. Neira, J.D. Tardòs, Limits to the consistency of the EKF-based SLAM, in: Intelligent Autonomous Vehicles, IAV 2004, Lisbon, Portugal, July 2004
4. J.L. Crowley, World modeling and position estimation for a mobile robot using ultrasonic ranging, in: IEEE International Conference on Robotics and Automation, ICRA, Scottsdale, AZ, 1989
5. M. Csorba, J.K. Uhlmann, H.F. Durrant-Whyte, A suboptimal algorithm for automatic map building, in: American Control Conference, Albuquerque, New Mexico, USA, 1997, pp. 537-541
6. M.C. Deans, M. Hebert, Invariant filtering for simultaneous localization and mapping, in: International Conference on Robotics and Automation, vol. 2, San Francisco, CA, USA, April 2000, pp. 1042-1047
7. Dissanayake G., Newman P., Clark S., Durrant-Whyte H.F., and Csorba M. A solution to the simultaneous localization and map building (SLAM) problem. IEEE Transactions on Robotics and Automation 17 3 (2001)
8. Germani A., Manes C., and Palumbo P. Polynomial extended Kalman filter. IEEE Transactions on Automatic Control 50 12 (2005) 2059-2064
9. S. Julier, J.K. Uhlmann, A counter example to the theory of simultaneous localization and map building, in: International Conference on Rob. and Aut., ICRA01, Seoul, Korea, 2001
10. Leonard J.J., and Durrant-Whyte H.F. Directed Sonar Sensing for Mobile Robot Navigation (1992), Kluwer, Dordrecht
11. A. Martinelli, R. Siegwart, Improving the SLAM convergence with a relative map filter, in: International Conference on Intelligent Autonomous Systems, IAS04, Amsterdam, The Netherlands, 2004
12. A. Martinelli, N. Tomatis, R. Siegwart, Open challenges in SLAM: An optimal solution based on shift and rotation invariants, in: International Conference on Rob. and Aut., ICRA04, New Orleans, USA, 2004
13. P.M. Newman, On the structure and solution of the simultaneous localization and mapping problem, Ph.D. Thesis, Australian Centre for Field Robotics, University of Sydney, 1999
14. P.M. Newman, H.F. Durrant-Whyte, An efficient solution to the slam problem using geometric projection, in: Sensor Fusion and Decentralized Control in Robotics Systems, Boston, USA, 2001
15. V.T. Nguyen, A Martinelli, R. Siegwart, Handling the inconsistency of relative map filter, in: International Conference on Rob. and Aut., ICRA05, Barcelona, Spain, 2005
16. Smith R., Self M., and Cheeseman P. Estimating uncertain spatial relationships in robotics. Uncertainty in Artificial Intelligence 2 (1988), Elsevier Science Pub 435-461