Globally Consistent Range Scan Alignment for Environment Mapping

Autonomous Robots

Volumn 4, Issue 4, 1997, Pages 333-349

  Lu, F ^a,b,c,d   Milios, E ^{a,d,e,f,g,h,i}  

^a YORK UNIVERSITY   (Canada)

^b PCI Enterprises Inc   (Canada)

^c FUDAN UNIVERSITY   (China)

^d UNIVERSITY OF TORONTO   (Canada)

^e NATIONAL TECHNICAL UNIVERSITY OF ATHENS   (Greece)

^f MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^g Digital Signal Processing Group   (Canada)

^h MIT LINCOLN LABORATORY   (United States)

ⁱ Forschungsinstitut fur anwendungsorientierte Wissensverarbeitung   (Germany)

Author keywords

Laser range scanning; Mapping; Range scan alignment; Range scan registration; Sensor based mobile robotics

Indexed keywords

COMPUTER SIMULATION; DATA PROCESSING; DISTANCE MEASUREMENT; MAPPING; MATHEMATICAL MODELS; NAVIGATION; PROBLEM SOLVING; SCANNING; SENSORS;

MAXIMUM LIKELIHOOD CRITERION; ODOMETRY; RANGE SCAN ALIGNMENT; RANGE SCAN REGISTRATION; WORLD MODEL;

MOBILE ROBOTS;

EID: 0031249780     PISSN: 09295593     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1008854305733     Document Type: Article

References (17)

1. Ayache, N. and Faugeras, O.D. 1989. Maintaining representations of the environment of a mobile robot. IEEE Transactions on Robotics and Automation, 5(6):804-819.
2. Chatila, R. and Laumond, J.P. 1985. Position referencing and consistent world modeling for mobile robots. In IEEE International Conference on Robotics and Automation, pp. 138-145.
3. Cox, I.J. 1991. Blanche: An experiment in guidance and navigation of an autonomous robot vehicle. IEEE Transactions on Robotics and Automation, 7(2): 193-204.
4. Crowley, J.L. 1989. World modeling and position estimation for a mobile robot using ultrasonic ranging. In IEEE International Conference on Robotics and Automation, pp. 674-680.
5. Durrant-Whyte, H.F. 1987. Consistent integration and propagation of disparate sensor observations. International Journal of Robotics Research, 6(3):3-24.
6. Durrant-Whyte, H.F. 1988a. Integration, Coordination and Control of Multisensor Robot Systems. Kluwer Academic Publishers: Boston, Mass.
7. Durrant-Whyte, H.F. 1988b. Uncertain geometry in robotics. IEEE Journal of Robotics and Automation, 4(1):23-31.
8. Gonzalez, J., Reina, A., and Ollero, A. 1994. Map building for a mobile robot equipped with a 2D laser rangefinder. In IEEE International Conference on Robotics and Automation, pp. 1904-1909.
9. Gutmann, J.-S. and Schlegel, C. 1996. AMOS: Comparison of scan matching approaches for self-localization in indoor environments. In Eurobot '96, Kaiserslautern, Germany, also Available in http://www.informatik.uni-freiburg.de/~gutmann.
10. Kriegman, D.J., Triendl, E., and Binford, T.O. 1989. Stereo vision and navigation in buildings for mobile robots. IEEE Transactions on Robotics and Automation, 5(6):792-803.
11. Leonard, J., Durrant-Whyte, H., and Cox, I.J. 1990. Dynamic map building for an autonomous mobile robot. In IEEE/RSJ International Conference on Intelligent Robots and Systems.
12. Lu, F. 1995. Shape registration using optimization for mobile robot navigation. Ph.D thesis, University of Toronto, Department of Computer Science, available as ftp://ftp.cs.yorku.ca/ pub/eem/FengLuPh.Dthesis.ps.gz.
13. Lu, F. and Milios, E. 1997. Robot pose estimation in unknown environments by matching 2D range scans. Journal of Intelligent and Robotic Systems (to appear in), available as ftp://ftp.cs.yorku.ca/pub/eem/matching.ps.gz.
14. Moutarlier, P. and Chatila, R. 1989. Stochastic multisensory data fusion for mobile robot location and environment modelling. In 5th International Symposium on Robotics Research, pp. 85-94.
15. SICK Laser range scanner, http://www.sick.de.
16. Smith, R.C. and Cheeseman, P. 1986. On the representation and estimation of spatial uncertainty. International Journal of Robotics Research, 5(4):56-68.
17. Tang, Y.C. and Lee, C.S.G. 1992. A geometric feature relation graph formulation for consistent sensor fusion. IEEE Transactions on System, Man, and Cybernetics, 22(1):115-129.