maxritter/SDC-Traffic-Sign-Recognition

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Created over 7 years ago
Updated over 7 years ago

maxritter/SDC-Traffic-Sign-Recognition

maxritter

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In this project, images from german traffic signs are classified using a convolutional neural network.

diy-thermocam

A do-it-yourself thermal imager, compatible with the FLIR Lepton 2.5, 3.1R and 3.5 sensor with Arduino firmware

SDC-Vehicle-Lane-Detection

I am using an ensemble of classic computer vision and modern deep learning techniques, to detect the lane lines and the vehicles on a highway. This project was part of the Udacity SDC Nanodegree.

Jupyter Notebook

SDC-End-to-end-driving

This simulation of a car uses steering angle predictions from a convolutional neural network, this is also called end-to-end learning. It is able to drive fully autonomously on the whole track with only one round of training data. The project was part of the Self-Driving Car Engineer program.

CppND-Route-Planning-Project

C++ Route Planning Project based on A* search algorithm on OpenStreetMap

impfbot

Bot to find COVID-19 vaccination appointments in Germany

SDC-Semantic-Segmentation

Pixels of a road in images are labeled using a Fully Convolutional Network (FCN)

OpenCV_TrafficSign

Real-Time Traffic Sign Recognition using Deep Learning and OpenCV

SDC-Path-Planning

Path planner that is able to navigate a car safely around a virtual highway

tafel-software

Tafel-Software für den Landkreis Fürstenfeldbruck

CppND-Traffic-Simulation

Traffic simulation using multithreading for the C++ Nanodegree

diy-thermocam-website

Website for www.diy-thermocam.net

aws-cdk-apprunner-vpc-golang

Using AWS CDK to deploy a scalable WebService based on AWS AppRunner and Golang that connects to a PostgreSQL DB in a private VPC