Intelligent Vehicles: From Functional Framework to Vehicle Architecture C1615

Topics: Advanced Technologies

This course provides an overview of state-of-the-art intelligent vehicles, presents a systematic framework for intelligent technologies and vehicle-level architecture, and introduces testing methodologies to evaluate individual and integrated intelligent functions. Considering the increasing demand for vehicle intelligence, it is critical to gain an understanding of the growing variety of intelligent vehicle technologies and how they must function together effectively as a system.

Learning Objectives

By attending this course, you will be able to: 

  • Identify key enabling technology of intelligent vehicles
  • Describe intelligent functions under the proposed technology framework
  • Recognize integration and calibration approaches for intelligent vehicles
  • Describe testing methodologies to evaluate intelligent functions
  • Identify challenges and trends in the field of intelligent vehicles

Who Should Attend

This course is designed for engineers, calibrators, researchers, testing technicians, and other technical personnel involved in intelligent vehicle components, systems, or vehicle architectures.


Participants should have an undergraduate engineering degree and fundamental vehicle and component knowledge.

You must complete all course contact hours and successfully pass the learning assessment to obtain CEUs.

Yin Chengliang

Dr. Chengliang Yin is currently a Full Professor with Shanghai Jiao Tong University, Shanghai, China, where he is also the Vice Dean with the Institute of Automotive Engineering and the Vice Director with the National Engineering Laboratory for Automotive Electronic Control Technology. He is also currently an Advanced Technical Adviser with the Shanghai Automobile and Dongfeng Automotive Group. His research interests include automotive electronics, hybrid electric vehicles and intelligent vehicles. Dr. Yin earned Master’s and Ph.D. degrees in vehicle engineering from Jilin University and was awarded the General Motors Innovative Talent in Automotive Industry Award in 2009.

Duration: 2 Days
CEUs: 1.3

Fees: $1299.00

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