Point Cloud Library (PCL)

Maybe the simplest LiDAR-inertial odometry that one can have.

Python sample codes for robotics algorithms.

Magnetic-Field aided Inertial Navigation System

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…

A simplified implementation of FAST_LIO (with Chinese note)

Dynamic SLAM, Life-long SLAM Research(Lidar, Visual, Sensor Fusion etc.)

OpenCalib: A Multi-sensor Calibration Toolbox for Autonomous Driving

Code used in tutorials found on ROS wiki

ROS 3D Robot Visualizer

Simple library for converting coordinates to/from several geodetic frames (lat/lon, ECEF, ENU, NED, etc.)

Fixed-Wing UAV Formation Controller Design and Implementation

Ground Segmentation from Lidar Point Clouds

ROS Navigation stack. Code for finding where the robot is and how it can get somewhere else.

Multi-Sensor Fusion (GNSS, IMU, Camera) 多源多传感器融合定位 GPS/INS组合导航 PPP/INS紧组合

Chinese annotated version of A-LOAM

Tutorials related to using and extending RViz and interactive_markers.

fastlio2 cooperating with robosense lidar

r3live cooperate with robosense lidar

The dataset for drone based detection and tracking is released, including both image/video, and annotations.

IMU + X(GNSS, 6DoF Odom) Loosely-Coupled Fusion Localization based on ESKF, IEKF, UKF(UKF/SPKF, JUKF, SVD-UKF) and MAP

🛠 A lite C++ toolkit of awesome AI models with ONNXRuntime, NCNN, MNN and TNN. YOLOX, YOLOP, YOLOv6, YOLOR, MODNet, YOLOX, YOLOv7, YOLOv5. MNN, NCNN, TNN, ONNXRuntime.

Open-source GNSS + inertial navigation, sensor fusion simulator. Motion trajectory generator, sensor models, and navigation

Kalman Filter implementation in Python using Numpy only in 30 lines.

This is repository is for the self-driving car project sets.

IMU-Based 6-DOF Odometry

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite