What you'll learn:
Understanding the Advanced Driver Assistance Systems (ADAS) in general.
Role of ADAS towards Autonomous Driving
Sensors used in ADAS.
How various ADAS systems are tested in Industry
More than 20 ADAS systems explained with animations and industrial examples.
Role of Machine Learning and Deep Learning briefly in latest ADAS development

Requirements
Working computer with Internet
No other prior knowledge is required

Description
ADAS (Advanced Driver Assistance Systems) are nowadays non-separable part of any new vehicle especially cars.. Depending upon the cost and model, one car can equipped from one to many ADAS functions which work to assist drivers on road and help to prevent danger situations which can cause fatal accidents. From last many years, automotive companies are working hard to bring advancement in available ADAS systems and also to develop many new.

According to the SAE levels defined for Autonomous Driving vehicles, ADAS plays prominent role to develop AD technology. Hence, if you are working in automotive industry (on any profile) or you are student who is dreaming to follow your passion in this industry, then gaining insights of the ADAS systems is very important.

Even though this technology is widely adapted, the literature and good explanation of major ADAS systems is rarely available at one place. When I started in Automotive Industry, I struggled a lot in my initial months, to understand and gather all the knowledge which can help me to work smoothly on the topics. In last few years, I have supervised many intern and thesis students and I had come across with the same questions by almost everyone. Even many times, people working in the industry, do not clearly understand this topic or sometimes mix one ADAS system with another and gets confused.

To overcome all these issues and to help to gain knowledge in this area, I have developed this course with concise content. This course will help you to understand about their origin, their role in AD, various sensors used in ADAS, role of Machine Learning and Deep Learning in ADAS, how they are tested in Industry and explanation of more than 20 ADAS systems which includes all major ADAS available in market with animations, industrial applications and block diagrams.

Kindly note that,

This course is theoretical but contains lot of industrial examples to provide practical understanding of the field.

It contains Quiz at the end of most of the sections to check your understanding of concepts.

Course provides (completely optional) programming activities to develop and test some ADAS systems in Python. But these activities are not required to completely understand the content of this course and hence can be skipped. But if you are interested, you can give a try.

Disclaimer:

1. During the course, many animations and videos from different car manufacturers are used. But they are only for education purpose and taken from sources which are available to public. I have no intention to market any kind of Technology through this course.

2. During the entire course, the credits and references are given to all the videos, animations, images, and other form of education material taken from various sources. The content is only used for providing practical understanding to the students who enroll in this course.

Who this course is for
Anyone who is Interested in learning Advanced Driver Assistance Systems
Students, Engineers, Researchers working and/or interested in Automotive Industry, easpecially in ADAS and AD Technology

Citación :

https://rapidgator.net/file/b77028031686e0e3d4a4b05c97e5a947/5bqb4.Advanced.Driver.Assistance.Systems.ADAS.part1.rar.html
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