My projects for Udacity's Self Driving Car Nanodegree program.
-
Updated
Jan 30, 2023 - C++
My projects for Udacity's Self Driving Car Nanodegree program.
In this project, we will code the car such that it drives around the track autonomously.
In this project your goal is to safely navigate around a virtual highway with other traffic that is driving +-10 MPH of the 50 MPH speed limit. You will be provided the car's localization and sensor fusion data, there is also a sparse map list of waypoints around the highway.
In this project you will utilize a kalman filter to estimate the state of a moving object of interest with noisy lidar and radar measurements.
In this project you will implement a 2 dimensional particle filter in C++. Your particle filter will be given a map and some initial localization information (analogous to what a GPS would provide). At each time step your filter will also get observation and control data.
A rudimentary trajectory planner that avoid obstacles by smoothly changing lanes. Part of Udacity Self-Driving Car Nanodegree program.
Old fashioned but fun snake game that was implemented to complete my Udacity C++ Nanodegree
Advance lane lines detection, UDACITY C++ Nanodegree program
My Learning Journey with Udacity C++ Nanodegree
OpenStreetMap: OSM Route Planning Project
Cost function based lane selection, path planning and trajectory interpolation
Auto-tuning a PID controller using stochastic coordinate ascent
Self-Driving Car Nanodegree Kidnapped Vehicle / Particle Filter Project
The myrobot lab part of RoboND Gazebo Basics lesson
Self-Driving Car Nanodegree Program Extended Kalman Filter Project
Deep RL project for Udacity's Robotics Software Engineer Nanodegree, Term 2
Create a path planner that is able to navigate a car safely around a virtual highway
Add a description, image, and links to the nanodegree topic page so that developers can more easily learn about it.
To associate your repository with the nanodegree topic, visit your repo's landing page and select "manage topics."