Self-driving truck
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Updated
Jul 10, 2024 - Jupyter Notebook
Self-driving truck
A repository of introductory autonomous ground vehicle (i.e., wheeled mobile robot) simulation examples in Python.
This project utilizes the pure pursuit algorithm for route tracking and the PID algorithm for speed control in a vehicle employing the Ackermann model.
Ackermann Car Simulation in Gazebo
This package sends Ackermann messages to the /cmd_ackermann topic, providing a driving experience that can be controlled with the W-A-S-D keys.
Development of a virtual simulation platform for autonomous vehicle sensing, mapping, control and behaviour methods using ROS and Gazebo.
A virtual simulation platform for autonomous vehicle sensing, mapping, control and behaviour methods using ROS 2 and Gazebo.
The repository consists of code for implementation of a PID based electronic differential for a rear wheel driven Electric vehicle.
concepts + utilities + examples for prototyping/ education in mobile robotics
Supports the various URDF and GAZEBO mobile robot model
A controller with ackermann kinematic model for steering and PID for velocity control <Completed>#
Hybrid A* Motion Planner for a Car using kinematic & Reeds-Shepp Model
Development of a virtual simulation platform for autonomous vehicle sensing, mapping, control and behaviour methods using ROS and Gazebo.
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