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Python sample codes and textbook for robotics algorithms.
deep learning for image processing including classification and object-detection etc.
Learn OpenCV : C++ and Python Examples
Convert AI papers to GUI，Make it easy and convenient for everyone to use artificial intelligence technology。让每个人都简单方便的使用前沿人工智能技术
LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
Slam Toolbox for lifelong mapping and localization in potentially massive maps with ROS
TensorRT MODNet, YOLOv4, YOLOv3, SSD, MTCNN, and GoogLeNet
LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping
Fast symbolic computation, code generation, and nonlinear optimization for robotics
Keras implementation of Deeplab v3+ with pretrained weights
An Efficient Framework for Fast UAV Exploration
Gaussian-SLAM: Photo-realistic Dense SLAM with Gaussian Splatting
[IEEE RA-L & ICRA'22] A lightweight and computationally-efficient frontend LiDAR odometry solution with consistent and accurate localization.
From Coarse to Fine: Robust Hierarchical Localization at Large Scale with HF-Net (https://arxiv.org/abs/1812.03506)
cartographer work space with detailed comments
A simple localization framework that can re-localize in built maps based on FAST-LIO.
Hierarchical perception library in Python for pose estimation, object detection, instance segmentation, keypoint estimation, face recognition, etc.
A ROS wrapper for trajectory planning based on motion primitives
Repository Containing the Code associated with the Paper: "Learning High-Speed Flight in the Wild"
Front_end : fastlio2 Back_end : lio_sam
LSD (LiDAR SLAM & Detection) is an open source perception architecture for autonomous vehicle/robotic
A simplified implementation of FAST_LIO (with Chinese note)
[ICRA2021] A low-cost SLAM system based on camera and Livox lidar.