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
General
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