There are 6 repositories under udacity-self-driving-car topic.
Udacity Self-Driving Car Engineer Nanodegree projects.
:loop: :bulb: My Udacity projects that I have made to improve my skills and complete my nanodegree. Please don't use it to copy the projects. Submit the PR if you want something to be added to this repository.
A Sensor Fusion Algorithm that can predict a State Estimate and Update if it is uncertain
Visualizations of algorithms covered in Sebastian Thrun's excellent Artificial Intelligence for Robotics course on Udacity.
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
Use segmentation networks to recognize lane lines and vehicles. Infer position and curvature of lane lines relative to self.
Udacity Self Driving Car ND projects - including lane detection, Traffic sign classifier, behaviour cloning
ROS-based code to control a real self-driving car. Final project for "Wolf Pack" team in Udacity's Self-Driving Car Engineer Nanodegree.
Entire Self-Driving Car Software Stack Tested on Real Vehicle
Self driving cars of udacity
Sensor Fusion and Localization related projects of Udacity's Self-driving Car Nanodegree Program:
Computer Vision and Machine Learning 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)
Udacity Self Driving Car Nanodegree - Advance Lane Line Finder on a Video Stream
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
Algorithm that steers a vehicle by using just the front-facing camera as an input feed (Advance lane detection)
The aim of this project is to allow a self driving car to steer autonomously in a virtual environment.
Highway driving at 50 mph with traffic using A* for path planning.
Term 1, Project 5 - Udacity Self Driving Car Nanodegree
Detecting vehicles using HOG features and SVM
Simulating a Self-Driving Car with basics of Deep Learning and Computer Vision
Udacity Self-Driving Car Nanodegree - Semantic Segmentation Project
Object detection using Single-Shot-Detection architecture using MobileNet as the basenet
This repository is aimed towards using advanced computer vision techniques to accurately detect lane lines on unfavorable roads.
Udacity Self-Driving Car Project: System Integration
Create a path planner that is able to navigate a car safely around a virtual highway
Pytorch model (CNN) to drive a simulated car autonomously in the Udacity Self-Driving Car Simulation.
Projects for the UDACITY Self-Driving Car Nanodegree
Udacity Self Driving Car Nanodegree - Finding Lane Lines in a Video Stream
Training images for training self-driving cars on Udacity Nanodegree Self-driving Car Simulator
Path-Planning for Self-Driving Car. Implemented a behavior planner in C++. Project for Udacity Self-Driving Car Nanodegree.