4.5 Article

OpenRatSLAM: an open source brain-based SLAM system

期刊

AUTONOMOUS ROBOTS
卷 34, 期 3, 页码 149-176

出版社

SPRINGER
DOI: 10.1007/s10514-012-9317-9

关键词

RatSLAM; OpenRatSLAM; SLAM; Navigation; Mapping; Brain-based; Appearance-based; ROS; Open-source; Hippocampus

资金

  1. Australian Research Council under Discovery Project [DP0987078, DP1212775]
  2. Australian Research Council under Special Research Initiative on Thinking Systems [TS0669699]
  3. Australian Research Council [DP0987078] Funding Source: Australian Research Council

向作者/读者索取更多资源

RatSLAM is a navigation system based on the neural processes underlying navigation in the rodent brain, capable of operating with low resolution monocular image data. Seminal experiments using RatSLAM include mapping an entire suburb with a web camera and a long term robot delivery trial. This paper describes OpenRatSLAM, an open-source version of RatSLAM with bindings to the Robot Operating System framework to leverage advantages such as robot and sensor abstraction, networking, data playback, and visualization. OpenRatSLAM comprises connected ROS nodes to represent RatSLAM's pose cells, experience map, and local view cells, as well as a fourth node that provides visual odometry estimates. The nodes are described with reference to the RatSLAM model and salient details of the ROS implementation such as topics, messages, parameters, class diagrams, sequence diagrams, and parameter tuning strategies. The performance of the system is demonstrated on three publicly available open-source datasets.

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