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:books: A collection of edge/contour/boundary detection papers and toolbox.
A curated list of awesome datasets for SLAM
[ICRA2021] A low-cost SLAM system based on camera and Livox lidar.
A computationally efficient and robust LiDAR-inertial odometry (LIO) package
A hybrid SOTA solution of LiDAR panoptic segmentation with C++ implementations of point cloud clustering algorithms. ICCV21, Workshop on Traditional Computer Vision in the Age of Deep Learning
Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion (AAAI 2021)
Index repo for Kimera code
This repository is used for automatic calibration between high resolution LiDAR and camera in targetless scenes.
A robust LiDAR Odometry and Mapping (LOAM) package for Livox-LiDAR
Fast and Accurate Extrinsic Calibration for Multiple LiDARs and Cameras
An algorithm for projecting three-dimensional laser point cloud data into serialized two-dimensional images.
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
A python tool for fitting primitives 3D shapes in point clouds using RANSAC algorithm
R2LIVE is a robust, real-time tightly-coupled multi-sensor fusion framework, which fuses the measurement from the LiDAR, inertial sensor, visual camera to achieve robust, accurate state estimation.
The LiDAR segmenters library, for segmentation-based detection.
Efficient neural feature detector and descriptor
SuperPoint + ORB_SLAM2
视觉(语义) SLAM 相关研究跟踪
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We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
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Data-Driven Documents codes.
China tencent open source team.