A Brief History of Autonomous Vehicles
Video tutorial gratuito di Sundog Education by Frank Kane
Teaching one million learners ML, AI, AWS, and Data Eng.!
37 corsi
1.040.391 studenti
Descrizione della lezione
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!
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Autonomous Cars: Deep Learning and Computer Vision in Python
Learn OpenCV, Keras, object and lane detection, and traffic sign classification for self-driving cars
12:26:02 di video on-demand • Ultimo aggiornamento: Settembre 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