kemfic / Curved Lane Lines

Finding Lane Lines using Python and OpenCV

Scenarios, tutorials and demos for Autonomous Driving

A collection of all projects pertaining to different layers in the SDC software stack

Udacity Self-Driving Car Engineer Nanodegree. Project: Vehicle Detection and Tracking

Tutorials for learning OpenCV in Python from Scratch

Particle Filter Implementations in Python and C++, with lecture notes and visualizations

真AI人工智能

Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.

基于BP神经网络的自动驾驶模型车。包含收集数据、控制模型生成与在线/离线自动运行所需的程序。

Computer vision sabbatical study materials

Vehicle detection using machine learning and computer vision techniques for Udacity's Self-Driving Car Engineer Nanodegree.

Udacity Self-Driving Car Engineer Nanodegree. Project: Build a Traffic Sign Recognition Classifier

A Python implementation of Sky Region Detection in a Single Image for Autonomous Ground Robot Navigation (Shen and Wang, 2013)

Face masks are crucial in minimizing the propagation of Covid-19, and are highly recommended or even obligatory in many situations. In this project, we develop a pipeline to detect unmasked faces in images. This can, for example, be used to alert people that do not wear a mask when entering a building.

Computer vision exercise with Python and OpenCV.

Face Recognition using Neural Networks implemented using Keras

An advanced lane-finding algorithm using distortion correction, image rectification, color transforms, and gradient thresholding.

Convolutional Neural Network for German Traffic Sign Recognition Benchmark

MIT-6.S094: Deep Learning for Self-Driving Cars Assignments solutions

M. Beyeler (2017). Machine Learning for OpenCV: Intelligent image processing with Python. Packt Publishing Ltd., ISBN 978-178398028-4.