Yan Li

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200页左右，书稿每章对应的代码也会被整理出来。

PlanarSLAM. A RGB-D SLAM system for structural scenes, which makes use of point-line-plane features and the Manhattan World assumption.

Structure-SLAM-PointLine. This is a basic point-line SLAM system based on ORBSLAM2.

GeoGaussian. GeoGaussian: Geometry-aware Gaussian Splatting for Scene Rendering

4DGS-SLAM. Instead of removing dynamic objects as distractors and reconstructing only static environments, this paper proposes an efficient architecture that incrementally tracks camera poses and establishes the 4D Gaussian radiance fields in unknown scenarios by using a sequence of RGB-D images.

Open-Structure. This new benchmark dataset, Open-Structure, is proposed to evaluate visual odometry and SLAM methods, which directly equips point and line measurements, correspondences, structural associations, and co-visibility factor graphs instead of providing raw images.

VENOM-SLAM. This is a simulator software for SLAM. The pose estimation strategy, Venom, receives enhanced powers when structure primities are deteced from environments.

SmileSplat.

SLAIM-Papers.

gaussian-splatting-using-PlanarSLAM. add a new type of input for gaussian-splatting

normal_depth_gt_of_NYU2. A simple image generator for NYU2 (labeled dataset), which provides independent images for your evaluation goals.

yanyan-li.github.io. project page

RiemanLine. This paper introduces RiemanLine, a unified minimal representation for 3D lines formulated on Riemannian manifolds that jointly accommodates both individual lines and parallel-line groups.

A_Survey_of_SLAM. The source file of paper in Latex and frame in Visio and XMind (A Survey of Simultaneous Localization and Mapping)

awesome_3DReconstruction_list. A curated list of papers & resources linked to 3D reconstruction from images.

StructureGS-SLAM.

LearnSensorFusion. 9轴传感器学习的阶段性总结

Faster-VO. RGBD Visual Odometry

RGBDPlaneDetection. RGBD plane detection and color-based plane refinement