AU3007 Autonomous and Connected Vehicles Syllabus:
AU3007 Autonomous and Connected Vehicles Syllabus – Anna University Regulation 2021
COURSE OBJECTIVE:
The objective of this course is to make the students to enumerate the requirements, levels, hardware and software in autonomous vehicles.
UNIT I INTRODUCTION TO AUTONOMOUS VEHICLE TECHNOLOGY
Introduction – SAE autonomous Level Classification-Examples-Application of Autonomous VehicleAdvantages and Disadvantages of Autonomous Vehicles.
UNIT II PATH PLANNING AND DECISION MAKING
Principles of decision making and path planning for autonomous vehicles-Decision making approaches-Approximation-Heuristic-Graph based-Point guidance. Verification and validation of decision making and path planning- Application examples of task allocation and path planning algorithms.
UNIT III SENSORS, PERCEPTION AND VISUALISATION
Introduction to sensors, perception and visualisation for autonomous vehicles-Sensor integration architectures and multiple sensor fusion-AI algorithms for sensing and imaging-neural networks.
UNIT IV NETWORKING AND CONNECTED VEHICLES
Current and future vehicle networking technologies- CAN, LIN, MOST and Flex-ray. The use of modern validation and verification methods- software-in-the-loop, and hardware-in-the-loop techniques. The role of Functional Safety and ISO26262 within the overall control system. Interdependency between software engineering and control system-advanced test methods for the validation of safety-critical systems. Connected vehicle control (CACC). vehicle-to-vehicle [V2V],vehicle-to-infrastructure [V2I], and Vehicle to “Cloud” [V2C]. Applications such as intelligent traffic signals, collaborative adaptive cruise and vehicle platooning.
UNIT V HUMAN FACTORS AND ETHICAL DECISION MAKING
Introduction to Human Factors-Human Performance: Perception and Attention-Situation Awareness and Error-Human Reliability: Driver Workload and Fatigue-Emotion and Motivation in Design-Trust in Autonomous Vehicles and Assistive Technology-Designing ADAS SystemsDriverless Vehicles and Ethical Dilemmas: Human Factors and Decision Making SoftwareApplication of Human Factors in Autonomous Vehicles. International and national regulatory frameworks for CAV and their safe operation.
TOTAL: 45 PERIODS
COURSE OUTCOMES:
At the end of this course, students will be able to
1. Estimate vehicle state based on available data.
2. Describe various computer vision features and techniques.
3. Develop motion plan for the vehicle based on the environment, behaviour and interaction of objects.
4. Describe the applications of AI in autonomous and connected vehicles.
REFERENCES:
1. Autonomous Driving: How the Driverless Revolution will Change the World, by Andreas Herrmann, Walter Brenner, Rupert Stadler, ISBN-10 1787148343, ISBN-13 978-1787148345, Emerald Publishing Limited, 26 March 2018.
2. Autonomous Vehicles: Technologies, Regulations, and Societal Impacts, George Dimitrakopoulos, Aggelos Tsakanikas, Elias Panagiotopoulos, Paperback ISBN: 9780323901376, eBook ISBN: 9780323901383, 1st Edition – April 14, 2021, Elsevier.
3. Driverless: Intelligent Cars and the Road Ahead (MIT Press) 1St Edition, by Hod Lipson , Melba Kurmanr), ISBN-13: 978-0262035224, ISBN-10: 0262035227, September 23, 2016.