• Metric-Semantic Localization and Mapping Antoni Rosinol, Marcus Abate, Yun Chang, Luca Carlone Fig.1: Kimera is an open-source C++ library for real-time metric-semantic SLAM. It provides (a) visual-inertial state estimates at IMU
  • The mapping platform for your organization. Alphabetical list of arcpy.mapping constants. Updating and fixing data sources with arcpy.mapping.
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  • PTAM窶冱 mapping component is nothing but bundle adjustment, the classical least-squares solution to camera and feature optimisation, but implemented judiciously over an automatically selected set of spatially-distributed keyframes and running repeatedly as often as computing resources will allow.
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  • We furthermore demonstrate a probabilistic occupancy mapping as an alternative to TSDF mapping in dense SLAM and show its direct applicability to online motion planning, using the example of ...
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Jan 12, 2018 · Efficient Octree-Based Volumetric SLAM Supporting Signed-Distance and Occupancy Mapping Abstract: We present a dense volumetric simultaneous localisation and mapping (SLAM) framework that uses an octree representation for efficient fusion and rendering of either a truncated signed distance field (TSDF) or an occupancy map.

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Apr 01, 2017 · Recently, Kahler et al. (2015); Klingensmith et al. (2015) demonstrated that volumetric depth map fusion can be done efficiently on mobile devices, enabling large-scale, interactive mapping. These works are complementary to ours, as they address the depth map fusion part of the system while we address depth map estimation using motion stereo.
Abstract —This paper focuses on exploration and occupancy mapping of unknown environments using a mobile robot. While a truncated signed distance eld (TSDF) is a popular, efcient, and highly accurate representation of occupancy, few works have considered optimizing robot sensing trajectories for autonomous TSDF mapping.

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May 11, 2020 · The Vermont Agency of Natural Resources has been busy making the Natural Resources Atlas the best online mapping tool for Vermont's Natural Resources. With over 150 map layers available to make your custom map from across all of our departments and other state and municipal agencies, you can use the Atlas to create a robust map for any purpose.