Udemy – Automotive Camera [Apply Computer vision, Deep learning] – 1 2022-12

Udemy – Automotive Camera [Apply Computer vision, Deep learning] – 1 2022-12 Downloadly IRSpace

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

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Udemy – Automotive Camera [Apply Computer vision, Deep learning] – 1 2022-12

Automotive Camera Course [Apply Computer vision Deep learning] – 1. Understanding the environment is a vital and important step in the development of advanced driver assistance systems (ADAS) as well as automated driving. The main sensors that are widely adopted and used include radar, camera, lidar and ultrasonic. This course focuses on the camera sensor. In particular, with the advancement of deep learning along with computer vision, the algorithm development approach in the camera field has changed dramatically in recent years. Many new students as well as people from other disciplines want to learn about this technology because it offers great prospects for development and the job market. There are also many training courses to teach some of the topics of this development piecemeal and with the aim of teaching only one specific concept. In such a situation, even if one knows how a certain concept works, it is difficult to turn it into a software module and also to develop a complete software from start to finish that is really in demand in companies.

What you will learn in Automotive Camera [Apply Computer vision, Deep learning]-1 course:

Basics of Advanced Driver Assistance Systems (ADAS) and Automated Driving
Understanding the need and role of cameras in ADAS and AD
Understanding different terms related to camera
Camera pinhole model, concept of perspective prediction and derivation of homogeneous equations for camera
External and internal camera calibration matrix concepts
Brief introduction to internal and external camera calibration process
Concepts of image classification and image localization
Object recognition concepts including advanced models – R-CNN, Fast R-CNN, Faster R-CNN, YOLOv3 and SSD
Image segmentation, sample and semantic classification and Mask R-CNN
Concept of multi-object tracking, Kalman filter, data communication and how to perform MOT for camera images

This course is suitable for people who:

Interested in camera algorithm development and fundamentals – especially cameras for ADAS / AD
Students, researchers, hobbyists, etc. who want to learn