wheel-odometry

A general framework for map-based visual localization. It contains 1) Map Generation which support traditional features or deeplearning features. 2) Hierarchical-Localizationvisual in visual(points or line) map. 3)Fusion framework with IMU, wheel odom and GPS sensors.

ROS 2 localization for outdoor robots: IMU, wheel encoders and GPS fused in a 23-state UKF at 100 Hz. When the estimate goes wrong it reports which sensor and why, instead of drifting silently. Apache 2.0.

It subscribes to ticks topics and publishes odometry

This repository is the implementation of A-Star path planning algorithm on the 2-D matrix. It is implemented on a ROBOTIS Turtle Bot 3 and is usable by any differential drive robot using ROS NOETIC. This project is developed by Mohd Farhan Haroon, at the Integral Robotics Lab, Integral University, Lucknow. Contact me at farhanharoon22@gmail.com

arduino-L298P-mobile-robot-motor-control

Modern C++ graph-based Visual-Inertial-Wheel Odometry (VIWO) state estimation engine using GTSAM and ISAM2 to eliminate monocular metric scale drift.

RicoSLAM: Localization and Mapping in Dynamic Environments. PhD Thesis of Ricardo B. Sousa from the PhD in ECE @ FEUP.

F1TENTH / RoboRacer LiDAR localization for ROS 2 Jazzy: fixed-map scan matching with Kinematic-ICP and wheel odometry.

Dataset for research in autonomous navigation and crop monitoring in cornfields