Udemy – Autonomous Cars: The Complete Computer Vision Course 2022 2021-4

Udemy – Autonomous Cars: The Complete Computer Vision Course 2022 2021-4 Downloadly IRSpace

Apr 18, 2025 - 04:32 Updated: Aug 17, 2025 - 15:30

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Udemy – Autonomous Cars: The Complete Computer Vision Course 2022 2021-4

Autonomous Cars: The Complete Computer Vision Course 2022. The automotive industry is transitioning from conventional human-driven vehicles to self-driving cars equipped with artificial intelligence. Self-driving cars offer a safe, efficient and cost-effective solution that will revolutionize the future of human transportation. Self-driving cars are predicted to save more than half a million lives by 2035 and create enormous economic opportunities worth more than $1 trillion. The auto industry is trying to spend billions of dollars to put the most advanced automotive technologies on the road. As the world moves toward a driverless future, the need for experienced engineers and researchers in this emerging field has never been more critical. This course aims to provide students with key knowledge about the design and development aspects of autonomous vehicles. This course provides hands-on knowledge to students by providing hands-on experience in various self-driving car concepts such as machine learning and computer vision. Concepts such as lane detection, traffic sign classification, vehicle/object detection, artificial intelligence and deep learning will be presented. This course is designed for students who want to gain a fundamental understanding of autonomous vehicle control. Basic knowledge of programming is recommended. However, these topics are covered extensively at the beginning of the course; Therefore, this course has no prerequisites and is open to any student with basic programming knowledge. Students who enroll in this self-driving car course will master driverless vehicle technologies that will revolutionize the future of transportation.

What you will learn in Autonomous Cars: The Complete Computer Vision Course 2022:

YOLO
OpenCV
Detection with gray scale image
Color space techniques
RGB space
HSV space
Sharpen and blur
Edge detection and slope calculation
Sobel
Laplacian edge detector
Canny edge detector
Affine and projective transformation
Translate, rotate and resize the image
Hoff transformation
Masking the desired area
KNN background subtraction
MOG background subtraction
MeanShift
Kalman filter
U-NET
SegNet
Encoder and decoder
Pyramid scene analysis network
DeepLabv3+
E-Net
YOLO
OpenCV

Who is this course suitable for?

Beginners starting to learn computer vision.
Undergraduate students who study in fields related to artificial intelligence.
People who want to solve their problems using computer vision.
Students who want to work in companies developing computer vision projects.
People who want to know all the areas of computer vision and also the problems that these techniques are able to solve.
Anyone interested in artificial intelligence or computer vision.
Data scientists who want to expand their portfolio.
Professionals who want to learn how to apply computer vision to real projects.
Software engineers interested in learning the algorithms behind self-driving cars.