Autonomous parking in subterranean garages-a look at the position estimation
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This contribution describes an approach for position estimation for a vehicle in known domestic environments like underground/multi-storey car parks. For environment data acquisition a laser scanner is used. First, the used environment representation is described. Subsequently, the feature extraction from the scanner data and the matching algorithms are presented. Finally, results of a prototypically implementation are shown.
[1] Tobias Einsele. Localization in Indoor Environments Using a Panoramic Laser Range Finder , 2002 .
[2] Ingemar J. Cox. Blanche: Position Estimation for an Autonomous Robot Vehicle , 1990, Autonomous Robot Vehicles.
[3] J.-S. Gutmann,et al. AMOS: comparison of scan matching approaches for self-localization in indoor environments , 1996, Proceedings of the First Euromicro Workshop on Advanced Mobile Robots (EUROBOT '96).