liyongliang999 / slam_in_autonomous_driving_changeLinks
高博新书《自动驾驶与机器人中的SLAM技术》源码修改版，根据深蓝学院要求，对每一章的代码进行特定修改，以实现不同的功能。
☆83Updated last year
Alternatives and similar repositories for slam_in_autonomous_driving_change
Users that are interested in slam_in_autonomous_driving_change are comparing it to the libraries listed below
Sorting:
- 《自动驾驶中的SLAM技术》对应开源代码 1. 添加详细代码注释 2. 添加深蓝第一期课后习题与 大作业的修改（若想要原始的激光SLAM定位与建图的效果，请前往高博github拉取最新分支）☆46Updated last year
- ☆58Updated 3 years ago
- 仅用于学习☆75Updated 2 years ago
- A variety of ICP algorithm implementation, can be used to do comparative testing. Include ICP_CERES, ICP_G2O,ICP_SVD etc.☆56Updated last year
- 为FAST-LIO2中的ikd-tree部分添加中文注释☆78Updated 2 years ago
- 添加了地面约束的3D版本Cartographer，更多改进详见readme。☆87Updated 2 years ago
- S-LOAM(Simple LOAM) 是一种简单易学的激光SLAM算法，整个程序只有几百行代码，十分方便学习与试验分析。☆64Updated 3 years ago
- ☆38Updated 3 years ago
- 多传感器融合定位模块,可融合IMU/GNSS/ODOM/LIDAR等传感器数据完成高精度定位,输出位置、速度、姿态等导航结果☆51Updated 4 years ago
- Achieving relocalization and global real-time localization based on LIO-SAM in point cloud maps☆73Updated 9 months ago
- ☆35Updated 3 years ago
- ieskf lio☆94Updated 2 months ago
- ☆75Updated 3 years ago
- ☆120Updated 2 years ago
- Modified simple version based on LIO-SAM.☆74Updated 2 years ago
- 一个基于迭代误差状态卡尔曼滤波(IESKF)的Livox-IMU车载SLAM系统实现☆81Updated 3 years ago
- LIO-SAM 代码注释+逻辑梳理☆28Updated 3 years ago
- ☆39Updated 2 years ago
- A Simple Autodrive System Tool Chain, 一个简易的自动驾驶系统工具链☆45Updated 2 years ago
- 多传感器融合定位课程学习记录☆34Updated 2 years ago
- 使用手眼标定法计算Lidar和INS(RTK or IMU)的相对姿态☆127Updated 4 years ago
- slam lib☆22Updated last year
- Livox-Mid-360 Used in UAV based faster-lio. Add localization mode in built maps.☆147Updated 6 months ago
- ☆114Updated 2 years ago
- 对VINS-Fusion的修改，以适配地面小车进行定位建图及导航，可实时采集生成半稠密点云地图和栅格地图。☆97Updated 3 years ago
- 个人对目前较为成熟的视觉/激光SLAM算法进行的注释以及解读文件☆65Updated 2 years ago
- LIO-SAM基于已知地图的定位☆21Updated 2 years ago
- LVI-SAM代码注释☆42Updated 2 years ago
- Faster-LIO (添加中文注释)☆60Updated 3 years ago
- This repo is modified based on lvi-sam and liorf, which remove the feature extraction module and makes it easier to adapt different senso…☆91Updated 2 years ago