3D Robotic Mapping [electronic resource] :The Simultaneous Localization and Mapping Problem with Six Degrees of Freedom / by Andreas Nüchter.
by Nüchter, Andreas [author.]; SpringerLink (Online service).
Material type:
BookSeries: Springer Tracts in Advanced Robotics: 52Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2009.Description: online resource.ISBN: 9783540898849.Subject(s): Engineering | Artificial intelligence | Systems theory | Control engineering systems | Engineering | Control , Robotics, Mechatronics | Artificial Intelligence (incl. Robotics) | Systems Theory, ControlDDC classification: 629.8 Online resources: Click here to access online
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Springer eBooksSummary: The monograph written by Andreas Nüchter is focused on acquiring spatial models of physical environments through mobile robots. The robotic mapping problem is commonly referred to as SLAM (simultaneous localization and mapping). 3D maps are necessary to avoid collisions with complex obstacles and to self-localize in six degrees of freedom (x-, y-, z-position, roll, yaw and pitch angle). New solutions to the 6D SLAM problem for 3D laser scans are proposed and a wide variety of applications are presented.
Perceiving 3D Range Data -- State of the Art -- 3D Range Image Registration -- Globally Consistent Range Image Registration -- Experiments and Results -- 3D Maps with Semantics -- Conclusions and Outlook.
| Item type | Current location | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|
| TJ163.12 (Browse shelf) | Available | ||||
| Long Loan | MAIN LIBRARY | TJ210.2-211.495 (Browse shelf) | Available |
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| TK5105.5-5105.9 Information Systems Security | RD118-120.5 Mastopexy and Breast Reduction | QA8.9-QA10.3 Transactions on Rough Sets IX | TJ210.2-211.495 3D Robotic Mapping | TA329-348 Computational Intelligence in Integrated Airline Scheduling | RM1-950 Drug Discovery and Evaluation: Methods in Clinical Pharmacology | TA329-348 Fuzzy Preference Ordering of Interval Numbers in Decision Problems |
Perceiving 3D Range Data -- State of the Art -- 3D Range Image Registration -- Globally Consistent Range Image Registration -- Experiments and Results -- 3D Maps with Semantics -- Conclusions and Outlook.
The monograph written by Andreas Nüchter is focused on acquiring spatial models of physical environments through mobile robots. The robotic mapping problem is commonly referred to as SLAM (simultaneous localization and mapping). 3D maps are necessary to avoid collisions with complex obstacles and to self-localize in six degrees of freedom (x-, y-, z-position, roll, yaw and pitch angle). New solutions to the 6D SLAM problem for 3D laser scans are proposed and a wide variety of applications are presented.
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