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orb_slam3

ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM

point-set-matching-registration-material

A list of point set matching/registration resources collected by Gang Wang

proslam

puma

Poisson Surface Reconstruction for LiDAR Odometry and Mapping

pvio

Robust and Efficient Visual-Inertial Odometry with Multi-plane Priors

pylon_camera

ROS-Driver for Basler Cameras

python3-in-one-pic

Learn python3 in one picture.

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

r2live

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.

r3live

A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping package

randla-net

🔥RandLA-Net in Tensorflow (CVPR 2020, Oral)

rangenet_lib

Inference module for RangeNet++ (milioto2019iros, chen2019iros)

recent_slam_research

Track Advancement of SLAM 跟踪SLAM前沿动态【2020 version】

robond-kinematics-project

Pick and Place project for RoboND Term 1

rpg_trajectory_evaluation

Toolbox for quantitative trajectory evaluation of VO/VIO

salsa-semantic-assisted-slam

SALSA: Semantic Assisted Life-Long SLAM for Indoor Environments (16-833 SLAM Project at CMU)

sc-a-loam

Robust LiDAR SLAM with a versatile plug-and-play loop closing and pose-graph optimization.

sc-lego-loam

LiDAR SLAM: Scan Context + LeGO-LOAM

segmenters_lib

The LiDAR segmenters library, for segmentation-based detection.

semantic-kitti-api

SemanticKITTI API for visualizing dataset, processing data, and evaluating results.

semantic_slam

semantic_slam from rangenet_lib

semantic_suma

SuMa++: Efficient LiDAR-based Semantic SLAM (Chen et al IROS 2019)

slam-jobs

这个一份SLAM/SFM求职指南，旨在帮助视觉SLAM/SFM的小伙伴们能够找到更好的工作。

supergluepretrainednetwork

SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)

superpoint

Efficient neural feature detector and descriptor

superpoint_slam

SuperPoint + ORB_SLAM2

superpointpretrainednetwork

PyTorch pre-trained model for real-time interest point detection, description, and sparse tracking (https://arxiv.org/abs/1712.07629)

tensorflow-posenet

Implementation of Posenet in TensorFlow

testeigen

testEigen