TAG Team implementation of the system integration capstone project in the Udacity Self-Driving Car Nanodegree Program.
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Updated
Dec 6, 2017 - Python
TAG Team implementation of the system integration capstone project in the Udacity Self-Driving Car Nanodegree Program.
Udacity Flying Car Nanodegree First Project
experimental
CarND Term 2 Model Predictive Control (MPC) Project
This is the final project in Udacity's Self-Driving Car Engineer Nanodegree where we will implement ROS nodes to control Carla - Udacity's self-driving car.
Finite state machine (event-driven programming) implementation for autonomously flying a drone
Grid and Graph Search with the A* algorithm (path+cost function) for a drone in an urban environment + Path optimization
Capstone Project : In this project, we implement a Real Self Driving Car in python to maneuver the vehicle around the track while following the traffic rules.
This project contains C++ Fotokite Pro library. Fotokite Pro is a tethered unmanned aerial vehicle by Perspective Robotics. This library can be used to get telemetry data from Fotokite and to send commands to Fotokite. It also supports waypoint navigation that can handle multiple tether contact points with obstacles.
Repository for a custom OpenAI Gym compatible environment for the Parrot Drone ANAFI 4K.
Model Predictive Control (MPC) based waypoint tracking controller (ROS navigation stack local planner plugin)
Program a real Self-Driving Car by writing ROS nodes to implement core functionality of the autonomous vehicle system.
ROS nodes to implement the core functionality of the autonomous vehicle system.
A simple controller tracking x, y, and yaw
Using a Sony PS3 gamepad controller to drive the PicoBot
A techdemo showing an AI friendly destructible terrain for side-scrolling games. It works by using a waypoint net that is both used for AI players and rendering the landscape.
make ROSbot XL to follow waypoints
The ROS package of waypoint editing tool
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