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M2DGR: a Multi-modal and Multi-scenario Dataset for Ground Robots(RA-L2021 & ICRA2022)
[TMECH'2024] Official codes of the paper. PALoc: Advancing SLAM Benchmarking with Prior-Assisted 6-DoF Trajectory Generation and Uncertainty Estimation
This is the code repository for the IEEE-RAL'24 paper "FMCW-LIO: A Doppler LiDAR-Inertial Odometry"
LiDAR-based 3D global registration benchmark.
3D LiDAR Mapping in Dynamic Environments using a 4D Implicit Neural Representation (CVPR 2024)
Effectively Detecting Loop Closures using Point Cloud Density Maps
Maybe the simplest LiDAR-inertial odometry that one can have.
📍PIN-SLAM: LiDAR SLAM Using a Point-Based Implicit Neural Representation for Achieving Global Map Consistency [TRO' 24]
提取微信聊天记录,将其导出成HTML、Word、Excel文档永久保存,对聊天记录进行分析生成年度聊天报告,用聊天数据训练专属于个人的AI聊天助手
Voxelmap++: Mergeable Voxel Mapping Method for Online LiDAR(-inertial) Odometry
LSD (LiDAR SLAM & Detection) is an open source perception architecture for autonomous vehicle/robotic
Simultaneous Localization and Terrain Mapping Using One Wheel-mounted IMU
Loosely Coupled INS/GNSS Error State Extended Kalman Filter in Python/C++
An EKF-Based GNSS/INS Integrated Navigation System
Code for paper: "LLIO: Lightweight Learned Inertial Odometer"
🌟 SHINE-Mapping: Large-Scale 3D Mapping Using Sparse Hierarchical Implicit Neural Representations (ICRA 2023)
MULLS: Versatile LiDAR SLAM via Multi-metric Linear Least Square [ICRA '21]
A wheel-mounted MEMS IMU-based dead reckoning system.
An Optimization-Based GNSS/INS Integrated Navigation System
A Windows and Office activator using HWID / Ohook / KMS38 / Online KMS activation methods, with a focus on open-source code and fewer antivirus detections.
A curated list of awesome SLAM tutorials, projects and communities.