Udacity Self-Driving Car Engineer Nanodegree projects.
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Updated
Mar 28, 2023 - C++
Udacity Self-Driving Car Engineer Nanodegree projects.
MPC in vehicle to track reference trajectory
My solution for udacity path planning project. This makes the car drive > 20 miles without collision without constraint violation
Sensor Fusion and Localization related projects of Udacity's Self-driving Car Nanodegree Program:
Udacity Self-Driving Car Nanodegree - Model Predictive Control (MPC) Project
Self Driving Car Project 6 - Sensor Fusion(Extended Kalman Filter)
Project: Advanced Lane Finding || Udacity: Self-Driving Car Engineer Nanodegree
A Particle Filter algorithm which could be used to localize an autonomous system such as a UAV or a self-driving car.
Udacity Self-Driving Car Nanodegree - Extended Kalman Filter implementation
Udacity Self-Driving Car Nanodegree - Path Planning Project
Highway driving at 50 mph with traffic using A* for path planning.
Create a path planner that is able to navigate a car safely around a virtual highway
Path-Planning for Self-Driving Car. Implemented a behavior planner in C++. Project for Udacity Self-Driving Car Nanodegree.
Particle Filter implementation in C++
Path-planning for self-driving cars
Udacity Intro to Self-Driving Cars Nanodegree Project : 2D Histogram Filter in C++
Model Predictive Control (MPC) to control the steering angle and the throttle acceleration of a car using the Udacity self driving simulator
🏎️ Model Predictive Control (MPC) Project using C++, Eigen, Ipopt and CppAD for the Self-Driving Car Nanodegree at Udacity
Udacity Self-Driving Car Nanodegree - Kidnapped Vehicle project
Model predictive controller - implementation in C++
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