A description of the Kinematic Bicycle Model written in Cython with an animated example.

Path tracking with dynamic bicycle models

A repository of introductory autonomous ground vehicle (i.e., wheeled mobile robot) simulation examples in Python.

Supports the various URDF and GAZEBO mobile robot model

Given a graph, A* finds the optimal path, if it exists, joining the start node to the goal node. Hybrid A* takes vehicle dynamics into consideration and generates a smoother path which the vehicle can follow. Both the implementations are optimized using dictionaries & heaps

Controlling a nonholonomic robot to follow a trajectory with a modified PID Controller.

Implementation of DDP algorithm for Optimal Control on a Bicycle Model for optimal lane change maneuvering and Skidpad track following.

Control of a 6-state bicycle model for racing and evading random obstacles utilizing Model Predictive Control (MPC).

Coursera specialization

2D kinematic bicycle model in JS

Model Predictive Control (MPC) for kinematic bicycle model

Repo for the Bikestream project (aka Databike Pilot Project)

Visualizing path prediction using Bicycle Model for various Initial Velocities, acceleration, steering angle, heading angle and calculation time

Building models that capture vehicle dynamics

Control of Mobile Robots course project 2021/2022 - Politecnico di Milano.

Real-time algorithms for following a given path while avoiding initially unknown static obstacles.

A simple simulation of the bicycle model using Qt.

Bicycle Dynamics - Stability analysis and designing controller for Bicycle. SBU Modern Control course final project.

This repository is created based on the projects opened at the Coursera Self-driving Cars specialization course, published by Toronto University. https://www.coursera.org/specializations/self-driving-cars