Path tracking with dynamic bicycle models

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

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

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

Model Predictive Control (MPC) for kinematic bicycle model

Repo for the Bikestream project (aka Databike Pilot Project)

Building models that capture vehicle dynamics

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