3D Robotic Mapping: The Simultaneous Localization and Mapping Problem with Six Degrees of Freedom

Nüchter, Andreas

Focuses 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

Details

Published by: Springer

Publication Date: 2009-01-17

Format: Hardcover

ISBN-13: 9783540898832

DOI: 10.1007/978-3-540-89884-9

Dimensions: 235.0cm x155.0cm

Pages: 204.0