Python sample codes for robotics algorithms.
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Updated
Oct 13, 2020 - Jupyter Notebook
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Python sample codes for robotics algorithms.
Cartographer is a system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations.
机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶
OpenVSLAM: A Versatile Visual SLAM Framework
AI算法岗求职攻略(涵盖准备攻略、刷题指南、内推和AI公司清单等资料)
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)
Track Advancement of SLAM 跟踪SLAM前沿动态【2020 version】
g2o: A General Framework for Graph Optimization
RTAB-Map library and standalone application
Python package for the evaluation of odometry and SLAM
Tooling for professional robotic development in C++ and Python with a touch of ROS, autonomous driving and aerospace
Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.
3D LIDAR-based Graph SLAM
An open source platform for visual-inertial navigation research.
solution of exercises of the book "probabilistic robotics"
Visual Inertial Odometry with SLAM capabilities and 3D Mesh generation.
LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
Index repo for Kimera code
X Inertial-aided Visual Odometry
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