LaTeX Thesis Template for Xiangtan University (湘潭大学学位论文模板)

Simultaneous Localization and Terrain Mapping Using One Wheel-mounted IMU

learning SLAM,curse,paper and others

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Mixed lib for gnss/ins by C++ and Python

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An open autonomous driving platform

GREAT-MSF Beta: Advanced GNSS/INS fusion system supporting PPP/RTK, multi-GNSS, custom IMU, fast initialization, and visualization. Future releases will integrate LiDAR, cameras, HD maps, UWB, whee…

GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse m…

An example comparing EKF, factor graphs, and sliding window factors. Used for a paper in the Navigation journal.

A novel architecture in which the Factor Graph Optimization (FGO) is hybrid with the Extended Kalman Filter (EKF) for tightly coupled GNSS/UWB integration with online Temporal calibration (FE-GUT).

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The best way to write secure and reliable applications. Write nothing; deploy nowhere.

LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping

《自动驾驶中的SLAM技术》对应开源代码

Repository to generate in real-time Situational Graphs (S-Graphs) for robot pose and map optimization using 3D LiDAR Data

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

a SLAM implementation combining FAST-LIO2 with pose graph optimization and loop closing based on LIO-SAM paper

An optimization-based multi-sensor state estimator

Abseil Common Libraries (C++)

A large scale non-linear optimization library

An Optimization-Based GNSS/INS Integrated Navigation System

给中文KAN学习者和开发者准备的各种KAN的详细的中文注释+使用例子

UrbanNav:An Open-sourced Multisensory Dataset for Benchmarking Positioning Algorithms Designed for Urban Areas

An open-source hardware-synchronized handheld device for FAST-LIVO.

使用深度学习的方法，给特斯拉汽车学习端对端的自动驾驶，本项目利用MIT 6.S094 这门公开课中的Tesla数据集训练深度学习模型，根据车辆的前置相机所拍摄的路况图像，实现对车辆转向角度的预测。(本项目还未完成)

A Fast and Tightly-coupled Sparse-Direct LiDAR-Inertial-Visual Odometry (LIVO).

A curated list of resources for using LLMs to develop more competitive grant applications.

Google Smartphone Decimeter Challenge 2023