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FAST-LIVO2: Fast, Direct LiDAR-Inertial-Visual Odometry
Open-source GNSS + inertial navigation, sensor fusion simulator. Motion trajectory generator, sensor models, and navigation
哔咔漫画, PicACG comic PC client(Windows, Linux, MacOS)
Azur Lane bot (CN/EN/JP/TW) 碧蓝航线脚本 | 无缝委托科研，全自动大世界
Health monitoring ROS Node for Jetson AGX Xavier
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Archived — A list of games, add-ons, maps, etc. hosted on GitHub. Any genre. Any platform. Any engine.
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
3D Object detection using Yolo and the ZED in Python and C++
Make it easy for you to install ROS 1 and ROS 2 on corresponding ubuntu distributions automatically in just 3 steps.
YOLOv4 object detector using TensorRT engine
YOLO ROS: Real-Time Object Detection for ROS
《概率机器人》课后习题详解。Detailed Solutions for exercises of book "Probabilistic Robotics" in both English & Chinese.
iSAM is an optimization library for sparse nonlinear problems as encountered in simultaneous localization and mapping (SLAM).
This is a package for extrinsic calibration between a 3D LiDAR and a camera, described in paper: Improvements to Target-Based 3D LiDAR to Camera Calibration. This package is used for Cassie Blue's …
LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
The code can fusion two curves into a new optimal curve and find the point correspendence between two curves
This dataset is captured using a Velodyne VLP-16, which is mounted on an UGV - Clearpath Jackal, on Stevens Institute of Technology campus
MOLA module: Front-end for point-cloud sensors based on generic ICP algorithms. LiDAR odometry and loop closure.
刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.
The Time Series Visualization Tool that you deserve.
Performance analysis tools based on Linux perf_events (aka perf) and ftrace
LOL: Lidar-only Odometry and Localization in 3D point cloud maps