Exploring self-driving with Arduino and C++!
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Updated
Aug 21, 2023 - C++
Exploring self-driving with Arduino and C++!
AI DriverLess Car is a high performance, flexible architecture which accelerates the development, testing, and deployment of Autonomous Vehicles.
Notes I took/used for passing Sensor Fusion Nanodegree
Udacity Vehicle Detection Project for Self Driving Cars (SDC) Term 1.
I've developed a model using a Convolutional Neural Network (CNN) to classify traffic signs using LeNet architecture
A Computer Vision techniques to develop an advanced algorithm that can detect and track lane boundaries
Formula Student cones detection and depth estimation on monovision
An undergraduate major project with ESP32-camera module and a Flask webclient
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.
Used a PID Controller along with a Stanley controller to create the Longitudinal and Lateral controls for a self driving car.
Self Driving Car simulation with Q learning
Sourcecodes of my projects from Udacity Self Driving Car Nanodegree program.
This is the repo for my ongoing Self Driving Car Nanodegree Term 1 Sholarship
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
Predicting Yaw and Pitch of a moving vehicle (comma ai) including more stuff that can help make your car drive itself.
AWS Deepracer organised by ANZ Melbourne collaborated with Amazon to have a run
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