Back close

Course Detail

Course Name Automotive Automation
Course Code 24MU637
Program M.Tech. Manufacturing and Automation​
Credits 3
Campus Coimbatore

Syllabus

Unit 1

Concept of Automotive Electronics, Electronics Overview, History & Evolution, Infotainment, Body, Chassis, and Power-train Electronics, Advanced Driver Assistance Electronic Systems, Basic Control System Theory applied to Automobiles, Overview of the Operation of ECUs, Basic Cyber-Physical System Theory and Autonomous Vehicles, Role of Surroundings Sensing Systems and Autonomy, Basics of Radar Technology and Systems, Ultrasonic Sonar Systems, Lidar Sensor Technology and Systems, Camera Technology, Night Vision Technology, Other Sensors, Use of Sensor Data Fusion.

Unit 2

Wireless System Block Diagram and Overview of Components, Transmission Systems – Modulation/Encoding, Receiver System Concepts–Basics of Computer Networking – the Internet of Things, Wireless Networking Fundamentals, Connectivity Fundamentals, Navigation and Other Applications, Vehicle-to-Vehicle Technology and Applications, Vehicle-to-Roadside and Vehicle-to-Infrastructure Applications, Autonomous Vehicles – Driverless Car Technology, Moral, Legal, Roadblock Issues

Unit 3

Basics of Theory of Operation, Applications, Integration of ADAS Technology into Vehicle Electronics, System Examples, Role of Sensor Data Fusion. Vehicle Prognostics Technology, Advanced Driver Assistance System Sensor Alignment and Calibration, Center Console Technology, Gauge Cluster Technology, Heads-Up Display Technology, and Warning Technology – Driver Notification. Impaired Driver Technology -Driver Impairment Sensor Technology, Sensor Technology for Driver Impairment Detection.

Objectives and Outcomes

Course Objectives

  • Introduce students to the various technologies and systems used to implement advanced driver assistance systems in vehicles
  • Highlight impact of automation in various driving functions and connecting the automotive systems to sources of information that assist with a task.

 

Course Outcomes

CO

CO Description

CO1

Acquire knowledge on basics of how automotive ECUs function in conjunction with the vehicle data bus

networks and sensors

CO2

Understand the concept of cyber-physical control systems and their application to collision avoidance and

autonomous vehicles

CO3

Familiarize with the basic concepts of wireless communications and wireless data networks

CO4

Understand the fundamental principles of data networking and its roll in ADAS and future autonomous

vehicles

CO-PO Mapping

 

PO1

PO2

PO3

PO4

PO5

PO6

CO1

3

1

1

2

2

 

CO2

3

1

1

2

2

 

CO3

3

1

1

2

2

 

CO4

3

1

1

2

2

 

 

Skills Acquired

Design of intelligent vehicles with advanced driverless and performance monitoring systems with sensors.

Text Books / References

  1. Radovan Miucic, Connected Vehicles: Intelligent Transportation Systems, Springer, 2015 Intelligent
  2. Transportation Systems and Connected and Automated Vehicles, Transportation Research Board 2016
  3. Osseiran, Afif, Jose Monserrat, and Patrick Marsch, eds. 5G mobile and wireless communications technology. Cambridge University Press, 2016.
  4. Benevolo, Clara, Renata Paola Dameri, and Beatrice D’Auria. “Smart mobility in smart city.” In Empowering Organizations, pp. 13-28. Springer, Cham, 2016.

DISCLAIMER: The appearance of external links on this web site does not constitute endorsement by the School of Biotechnology/Amrita Vishwa Vidyapeetham or the information, products or services contained therein. For other than authorized activities, the Amrita Vishwa Vidyapeetham does not exercise any editorial control over the information you may find at these locations. These links are provided consistent with the stated purpose of this web site.

Admissions Apply Now