A Brief History of Autonomous Vehicles
Un tutoriel vidéo gratuit de Sundog Education by Frank Kane
From a teacher of over 1 million students around the world, go hands-on with AI, machine learning, AWS, data engineering, and more.
41 cours
1 192 796 participants
Description de la session
We'll cover the history of self-driving cars, which starts in 1925 and includes a lot of exciting progress that's been largely forgotten!
Pour en savoir plus, suivez le cours complet
Autonomous Cars: Deep Learning and Computer Vision in Python
Learn OpenCV, Keras, object and lane detection, and traffic sign classification for self-driving cars
Vidéo à la demande de 12:26:02 • Mise à jour : septembre 2025
Automatically detect lane markings in images
Detect cars and pedestrians using a trained classifier and with SVM
Classify traffic signs using Convolutional Neural Networks
Identify other vehicles in images using template matching
Build deep neural networks with Tensorflow and Keras
Analyze and visualize data with Numpy, Pandas, Matplotlib, and Seaborn
Process image data using OpenCV
Calibrate cameras in Python, correcting for distortion
Sharpen and blur images with convolution
Detect edges in images with Sobel, Laplace, and Canny
Transform images through translation, rotation, resizing, and perspective transform
Extract image features with HOG
Detect object corners with Harris
Classify data with machine learning techniques including regression, decision trees, Naive Bayes, and SVM
Classify data with artificial neural networks and deep learning