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Co FusionCo-Fusion: Real-time Segmentation, Tracking and Fusion of Multiple Objects
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XivoX Inertial-aided Visual Odometry
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ManifA small C++11 header-only library for Lie theory.
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A LoamAdvanced implementation of LOAM
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DynslamMaster's Thesis on Simultaneous Localization and Mapping in dynamic environments. Separately reconstructs both the static environment and the dynamic objects from it, such as cars.
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Lego LoamLeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain
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PrometheusOpen source software for autonomous drones.
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KimeraIndex repo for Kimera code
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Comma2k19A driving dataset for the development and validation of fused pose estimators and mapping algorithms
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G2opyPython binding of SLAM graph optimization framework g2o
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KintinuousReal-time large scale dense visual SLAM system
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Turtlebot3ROS packages for Turtlebot3
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Zed ExamplesZED SDK Example projects
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Ucoslam Cv3Updated UcoSLAM to compile for OpenCV 3
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CartographerCartographer is a system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations.
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Slam Book这是一本关于SLAM的书稿,希望能清楚的介绍SLAM系统中的使用的几何方法和深度学习方法。书稿最后应该会达到400页左右,书稿每章对应的代码也会被整理出来。
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Visma Trackersemantic mapping module of vision lab slam system
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SlambookNo description or website provided.
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UrbannavdatasetUrbanNav: an Open-Sourcing Localization Data Collected in Asian Urban Canyons, Including Tokyo and Hong Kong
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Gradslamgradslam is an open source differentiable dense SLAM library for PyTorch
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DeepseqslamThe Official Deep Learning Framework for Route-based Place Recognition
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Recent Stars 2021🔥🔥🔥SLAM, Pose/Object tracking, Depth/Disparity/Flow Estimation, 3D-graphic, etc. related papers and code
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Open vinsAn open source platform for visual-inertial navigation research.
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Interactive slamInteractive Map Correction for 3D Graph SLAM
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Kimera VioVisual Inertial Odometry with SLAM capabilities and 3D Mesh generation.
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Sc Lego LoamLiDAR SLAM: Scan Context + LeGO-LOAM
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Mrpt⚡️ The Mobile Robot Programming Toolkit (MRPT)
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DefslamDefSLAM: Tracking and Mapping of Deforming Scenes from Monocular Sequences. J.Lamarca, S. Parashar, A. Bartoli & J.M.M. Montiel
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