Udacity Vehicle Detection Project for Self Driving Cars (SDC) Term 1.
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Updated
Aug 24, 2017 - Python
Udacity Vehicle Detection Project for Self Driving Cars (SDC) Term 1.
Formula Student cones detection and depth estimation on monovision
Code to run and train a model able to autonomously drive a RC car. Using Reinforcement Learning the model is trainable on simulator. The code to drive the real car is also available
Used a PID Controller along with a Stanley controller to create the Longitudinal and Lateral controls for a self driving car.
This is the repo for my ongoing Self Driving Car Nanodegree Term 1 Sholarship
Predicting Yaw and Pitch of a moving vehicle (comma ai) including more stuff that can help make your car drive itself.
The software for a self driving RC car
In this project I have tried out designing a Neural Network code to traing and classify images into forward, left and right direction and send the data to arduino via bluetooth to drive the arduino controlled Robotic car.
Autonomous RC Car using OpenCV,Python and Neural Network with Raspberry pi
FOR PRE-AP/AP1/AP2 TESLA CARS ONLY: open source driving agent. You can help development by donating @ https://github.com/sponsors/BogGyver
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