Benchmark of 6D SLAM (6D Simultaneous Localisation and Mapping) Algorithms with Robotic Mobile Mapping Systems
نویسندگان
چکیده
منابع مشابه
6D SLAM – Mapping Outdoor Environments
6D SLAM (Simultaneous Localization and Mapping) of mobile robots considers six dimensions for the robot pose, namely, the x, y and z coordinates and the roll, yaw and pitch angles. Robot motion and localization on natural surfaces, e.g., when driving with a mobile robot outdoor, must regard these degrees of freedom. This paper presents a robotic mapping method based on locally consistent 3D las...
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6D SLAM simultaneous localization and mapping or 6D concurrent localization and mapping of mobile robots considers six dimensions for the robot pose, namely, the x, y, and z coordinates and the roll, yaw, and pitch angles. Robot motion and localization on natural surfaces, e.g., driving outdoor with a mobile robot, must regard these degrees of freedom. This paper presents a robotic mapping meth...
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6D SLAM (Simultaneous Localization and Mapping) or 6D Concurrent Localization and Mapping of mobile robots considers six degrees of freedom for the robot pose, namely, the x, y and z coordinates and the roll, yaw and pitch angles. In previous work we presented our scan matching based 6D SLAM approach [10–12,16], where scan matching is based on the well known iterative closest point (ICP) algori...
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ژورنال
عنوان ژورنال: Foundations of Computing and Decision Sciences
سال: 2017
ISSN: 2300-3405
DOI: 10.1515/fcds-2017-0014