Tag: SLAM

What could be the computational benefits of such a mapping between intrinsic dynamical structure and external sensory inputs for navigation in the brain?

Christian Leibold. A Model for Navigation in Unknown Environments Based on a Reservoir of Hippocampal Sequences
bioRxiv 2019.12.18.880583; doi: https://doi.org/10.1101/2019.12.18.880583

Abstract
“Hippocampal place cell populations are activated in sequences on multiple time scales during active behavior, resting and sleep …

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How the Spiking Neural Network allows for navigation through an environment via landmark association without needing GPS?

Alexander Jones, Andrew Rush, Cory Merkel, Eric Herrmann, Ajey P. Jacob, Clare Thiem, Rashmi Jha. A neuromorphic SLAM architecture using gated-memristive synapses. Neurocomputing, 2019, https://doi.org/10.1016/j.neucom.2019.09.098.

Abstract
Navigation in GPS-denied environments is a critical challenge for autonomous mobile platforms

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How Does the Brain Solve the Computational Problems of Spatial Navigation?

Widloski, John, and Ila Fiete. “How does the brain solve the computational problems of spatial navigation?.” In Space, Time and Memory in the Hippocampal Formation, pp. 373-407. Springer, Vienna, 2014.

Abstract
Flexible navigation in the real world involves …

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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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How to implement the Loop Closure (Map Correction) in RatSLAM?

This excerpt note is about loop closure (map correction) in RatSLAM from Michael et al., 2008 and Michael 2008 book.

Michael Milford, and Gordon F. Wyeth. “Mapping a Suburb with a Single Camera using a Biologically Inspired SLAM System

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Past, Present, and Future of Simultaneous Localization and Mapping: Toward the Robust-Perception Age

Simultaneous localization and mapping (SLAM) consists in the concurrent construction of a model of the environment (the map), and the estimation of the state of the robot moving within it. The SLAM community has made astonishing progress over the last …

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