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Starred repositories
[ICRA'24] Accurate Prior-centric Monocular Positioning with Offline LiDAR Fusion
Implementation of "A Random Finite Set Approach for Dynamic Occupancy Grid Maps with Real-Time Application"
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)
Deep Learning Book Chinese Translation
Collect some World Models for Autonomous Driving papers.
(RA-L 2024) This repository is the official code for Narrowing your FOV with SOLiD: Spatially Organized and Lightweight Global Descriptor for FOV-constrained LiDAR Place Recognition.
A curated list of resources relevant to LiDAR-Visual-Fusion-SLAM
MS-Mapping: An Uncertainty-Aware Large-Scale Multi-Session LiDAR Mapping System
[RA-L 2024] In Defense of LiDAR-Only Odometry Using an Effective Continuous-Time Trajectory
《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases
A LiDAR-inertial odometry for dynamic environments.
InEKF: The Invariant Extended Kalman Filter on Matrix Lie Groups
[IEEE T-PAMI] All you need for End-to-end Autonomous Driving
A Modular Optimization framework for Localization and mApping (MOLA)
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
[ICML 2024] 3D-VLA: A 3D Vision-Language-Action Generative World Model
Effectively Detecting Loop Closures using Point Cloud Density Maps
Python binding of SLAM graph optimization framework g2o
点云分割论文2017 Fast segmentation of 3d point clouds: A paradigm on lidar data for autonomous vehicle applications
GeoGaussian: Geometry-aware Gaussian Splatting for Scene Rendering
[ECCV 2024] MAP-ADAPT: Real-Time Quality-Adaptive Semantic 3D Maps
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Updated Aug 27, 2024
INS-Centric Visual-Inertial Navigation System With LiDAR Enhancement
CCM-SLAM: Robust and Efficient Centralized Collaborative Monocular SLAM for Robotic Teams
FAST-LIVO2: Fast, Direct LiDAR-Inertial-Visual Odometry
A collection of GTSAM factors and optimizers for point cloud SLAM
GLIM: versatile and extensible range-based 3D localization and mapping framework