SLAM 开发学习资源与经验分享

A list of papers and datasets about point cloud analysis (processing) since 2017. Update every day!

Visual Leak Detector for Visual C++ 2008-2015

A version of RTKLIB optimized for low cost GNSS receivers, especially u-blox receivers. It is based on RTKLIB 2.4.3. This software is provided “AS IS” without any warranties of any kind so please b…

[PyTorch] Official implementation of CVPR2022 paper "TransFusion: Robust LiDAR-Camera Fusion for 3D Object Detection with Transformers". https://arxiv.org/abs/2203.11496

[NeurIPS 2024 Spotlight] Implementation of the paper "3D Gaussian Splatting as Markov Chain Monte Carlo"

LeGO-LOAM-BOR: optimized Lidar Odometry and Mapping

OpenGR: A C++ library for 3D Global Registration

Open3D PointNet implementation with PyTorch

This repository contains programs for reconstructing 3D space using OpenSfM and Gaussian Splatting techniques. It allows users to generate point clouds from images captured by a 360-degree camera u…

IRS: A Large Synthetic Indoor Robotics Stereo Dataset for Disparity and Surface Normal Estimation

[BMVC 2024] Drone-assisted Road Gaussian Splatting with Cross-view Uncertainty

Probabilistic Volumetric 3D Reconstruction

OpenVSLAM: a Versatile Visual SLAM Framework

A PyTorch re-implementation of iNeRF: Inverting Neural Radiance Fields for Pose Estimation

Fast LOAM: Fast and Optimized Lidar Odometry And Mapping

Official repository for R2Former: Unified Retrieval and Reranking Transformer for Place Recognition

This repository contains the codebase and all the relevant information for our IJCV paper on VPR-Bench: An open-source Visual Place Recognition Evaluation Framework

[ECCV 2022] Map-free Visual Relocalization: Metric Pose Relative to a Single Image

Official repository for TransGeo: Transformer Is All You Need for Cross-view Image Geo-localization

DeepI2P: Image-to-Point Cloud Registration via Deep Classification. CVPR 2021

Benchmarking and evaluation framework for place recognition methods, featuring SuperPoint+SuperGlue, LoGG3D-Net, Scan Context, DBoW2, MixVPR, STD

Source Code for Paper "OrienterNet Visual Localization in 2D Public Maps with Neural Matching"

Code for "Are Local Features All You Need for Cross-Domain Visual Place Recognition?" CVPR IMW 2023.

Codes for Paper <LC2: LiDAR-Camera Loop Constraints From Cross-Modal Place Recognition>.

MULLS: Versatile LiDAR SLAM via Multi-metric Linear Least Square [ICRA '21]

Robust Lidar Odometry System

A rotation-invariant, generalizable, and SOTA LiDAR place recognition method.