CMR338 Syllabus - Smart Mobility And Intelligent Vehicles - 2021 Regulation Anna University

CMR338 Syllabus - Smart Mobility And Intelligent Vehicles - 2021 Regulation Anna University

CMR338

SMART MOBILITY AND INTELLIGENT VEHICLES

 L T P C

3003

COURSE OBJECTIVES: The objectives of the course are:
1. To introduce students to the various technologies and systems used to implement smart mobility and intelligent vehicles.
2. To learn Basics of Radar Technology and Systems, Ultrasonic Sonar Systems, LIDAR Sensor Technology and Systems and other sensors for automobile vision system.
3. To learn Basic Control System Theory applied to Autonomous Automobiles.
4. To produce overall impact of automating like various driving functions, connecting the automobile to sources of information that assist with a task
5. To allow the automobile to make autonomous intelligent decisions concerning future actions of the vehicle that potentially impact the safety of the occupants through connected car & autonomous vehicle technology.

UNIT I

INTRODUCTION TO AUTOMATED, CONNECTED, AND INTELLIGENT VEHICLES

9

Concept of Automotive Electronics, Electronics Overview, History & Evolution, Infotainment, Body, Chassis, and Powertrain Electronics, Introduction to Automated, Connected, and Intelligent Vehicles. Case studies: Automated, Connected, and Intelligent Vehicles

UNIT II

SENSOR TECHNOLOGY FOR SMART MOBILITY

9

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, Integration of Sensor Data to On-Board Control Systems


UNIT III

CONNECTED AUTONOMOUS VEHICLE

9

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, Role of Wireless Data Networks and Autonomy

UNIT IV

VEHICLE WIRELESS TECHNOLOGY & NETWORKING

9

Wireless System Block Diagram and Overview of Components, Transmission Systems – Modulation/Encoding, Receiver System Concepts– Demodulation/Decoding, Wireless Networking and Applications to Vehicle Autonomy, Basics of Computer Networking – the Internet of Things, Wireless Networking Fundamentals, Integration of Wireless Networking and On-Board Vehicle Networks

UNIT V

CONNECTED CAR & AUTONOMOUS VEHICLE TECHNOLOGY

9

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, Technical Issues, Security Issues

TOTAL: 45 PERIODS

COURSE OUTCOMES: Upon successful completion of the course, students should be able to:
CO1: Recognize the concept of cyber-physical control systems and their application to collision avoidance and autonomous vehicles
CO2: Select the concept of remote sensing and the types of sensor technology needed to implement remote sensing
CO3: Familiar with the concept of fully autonomous vehicles
CO4: Apply the basic concepts of wireless communications and wireless data networks
CO5: Analyze the concept of the connected vehicle and its role in automated vehicles

TEXT BOOKS:
1. “Intelligent Transportation Systems and Connected and Automated Vehicles”, 2016, Transportation Research Board
2. Radovan Miucic, “Connected Vehicles: Intelligent Transportation Systems”, 2019, Springer

REFERENCE:
1. Tom Denton, “Automobile Electrical and Electronic systems, Roultedge”, Taylor & Francis Group,5th Edition,2018.

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