Advanced Driver Assistance Systems (ADAS)

ADAS（高级驾驶员辅助系统）如今已成为任何新车辆（尤其是汽车）不可分割的部分。根据成本和型号，一辆汽车可以配备一种或多种ADAS功能，以协助道路上的驾驶员并帮助预防可能导致致命事故的危险情况。从过去的多年开始，汽车公司一直在努力提高可用的ADAS系统的先进性，并开发许多新的。

根据为自动驾驶汽车定义的SAE水平，ADAS在开发AD技术方面扮演着重要角色。因此，如果您正在从事汽车行业（在任何方面），或者您是梦想跟随您对这个行业的热情的学生，那么对ADAS系统的深入了解就非常重要。

尽管这项技术已被广泛采用，但主要的ADAS系统的文献资料和详尽的解释很少能在一个地方获得。当我刚进入汽车行业时，在最初的几个月里，我努力工作很多，以了解和收集所有可以帮助我在主题上顺利开展工作的知识。在过去的几年中，我指导了许多实习生和论文生，几乎每个人都遇到了同样的问题。甚至很多时候，从事该行业的人们都不能清楚地理解这个主题，或者有时将一个ADAS系统与另一个ADAS系统混为一谈并感到困惑。

为了克服所有这些问题并帮助获得该领域的知识，我以简洁的内容开发了本课程。本课程将帮助您了解其起源，在AD中的作用，在ADAS中使用的各种传感器，在ADAS中的机器学习和深度学习的作用，如何在行业中对其进行测试以及对20多种ADAS系统的解释，其中包括所有主要ADAS在市场上有动画，工业应用和框图。

MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 53 lectures (9h 1m) | Size: 4.92 GB
20+ ADAS systems with examples, ADAS to Autonomous Driving, ADAS sensors – Radar, Camera, Lidar Ultrasonic, ADAS Testing

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