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所在平台: Udemy |
课程主页: https://www.udemy.com/course/advanced-driver-assistance-systems/
课程评论：没有评论
**自动驾驶辅助系统（ADAS）课程总结** 本课程深入探讨了现代汽车中不可或缺的自动驾驶辅助系统（ADAS）。ADAS功能日益多样化，从最初的一项到如今车辆上集成的多项功能，其核心目标是协助驾驶员，预防潜在的致命事故。 课程的重点在于： * **ADAS的起源与作用**：理解ADAS的由来及其在自动驾驶技术（AD）发展中的关键角色，尤其是在SAE自动驾驶分级中的地位。 * **ADAS传感器技术**：详细介绍用于ADAS的各种传感器，并阐述它们在感知环境中的功能。 * **机器学习与深度学习在ADAS中的应用**：揭示机器学习和深度学习如何驱动ADAS的智能化和性能提升。 * **ADAS的工业测试**：了解ADAS系统在行业内的测试流程和方法。 * **20+项主要的ADAS系统详解**：通过动画、工业应用案例和框图，全面讲解市场上几乎所有主流的ADAS功能。 本课程虽然偏重理论，但融入了大量的工业实例，旨在提供实践性的理解。每个主要章节后均设有测验，以巩固学习效果。此外，课程还提供了可选的Python编程活动，供有兴趣的学习者开发和测试部分ADAS系统。 本课程内容借鉴了公开的动画和视频资料，所有引用均已注明来源，仅用于教育目的，不构成任何商业推广。
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.
