Tag: 3D SLAM

3D State Estimation and 3D Pose Graph Optimization for 3D SLAM and Navigation

The following are some key references about 3D state estimation, 3D motion, 3D pose graph optimization.

Solà, Joan, Jeremie Deray, and Dinesh Atchuthan. “A micro Lie theory for state estimation in robotics.” arXiv preprint arXiv:1812.01537 (2018).

In this …

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3D Simultaneous Localization and Mapping and Navigation Planning for Mobile Robots in Complex Environments

3D Simultaneous Localization and Mapping and Navigation Planning for Mobile Robots in Complex Environments. June 28, 2017. By Professor Sven Behnke, University of Bonn, Germany…

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3D Drone Localization and Mapping

3D Drone Localization and Mapping. Oct.10 ,2018.  By Prof. Ioannis Pitas, Aristotle University of Thessaloniki. Contributors: J.M.M. Montiel (University of Zaragoza), J. Ramiro Martinez-de Dios (University of Seville), E. Kakaletsis, N. Nikolaidis (Aristotle University of Thessaloniki)…

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How to build spatial representation model (x, y, z, yaw) for 3D SLAM inspired by the brain?

The excerpt note is some relevant references about 2.5D SLAM inspired by the brain, which is expanded from the RatSLAM system.

Guth F. A. et. al. present an Hippo 3D (DolphinSLAM), expanded from the RatSLAM system, which was initially designed …

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3D SLAM: the grand challenge and ultimate goal for robotic perception.

Real-world applications in GPS-denied environments require robust mapping and perception techniques to enable mobile systems to autonomously navigate complex 3D environments.

Robotic environments are in general 3D, involving translation in three directions, x, y, and z, and rotation around three …

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