#面试#深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）
Cartographer is a system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations.
翻译 - 制图师是一个系统，可跨多个平台和传感器配置以2D和3D形式提供实时同时定位和制图（SLAM）。
LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
翻译 - LIO-SAM：通过平滑和映射实现紧密耦合的激光雷达惯性里程表
Python package for the evaluation of odometry and SLAM
翻译 - Python package for the evaluation of odometry and SLAM
g2o: A General Framework for Graph Optimization
翻译 - g2o：图形优化的通用框架
OpenVSLAM: A Versatile Visual SLAM Framework
翻译 - OpenVSLAM：多功能的Visual SLAM框架
A Modular and Multi-Modal Mapping Framework
翻译 - 一个开放的视觉惯性映射框架。
An open source platform for visual-inertial navigation research.
翻译 - 一个用于视觉惯性导航研究的开源平台。
A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping package
翻译 - 一个健壮的、实时的、RGB 颜色的、激光雷达-惯性-视觉紧耦合状态估计和映射包
3D LIDAR-based Graph SLAM
翻译 - 基于3D LIDAR的Graph SLAM
Visual Inertial Odometry with SLAM capabilities and 3D Mesh generation.
翻译 - 具有SLAM功能和3D网格生成的视觉惯性里程表。
Fast symbolic computation, code generation, and nonlinear optimization for robotics