CMR339 Advanced Driver Assistance Systems Syllabus:
CMR339 Advanced Driver Assistance Systems Syllabus – Anna University Regulation 2021
COURSE OBJECTIVES:
The objectives of the course are:
1. To introduce students with various fundamentals related to advanced driver assistance technologies
2. To impart knowledge on sensors, control and actuation methodologies and create impact of automating vehicles
3. To acquire skills on vehicle prognostics and impaired driver technology
4. To learn about various commonly available Advanced Driver Assistance Systems.
5. To study about Center Console Technology and other display technology
UNIT – I AUTOMOTIVE FUNDAMENTALS
Power System-Running System-Comfort System– Engine Components – Drive train – suspension system, ABS, Steering System
UNIT – II AUTOMOTIVE SENSORS
Knock sensors, oxygen sensors, crankshaft angular position sensor, temperature sensor, speed sensor, Pressure sensor, Mass air flow sensor, Manifold Absolute Pressure Sensors, crash sensor, Coolant level sensors, Brake fluid level sensors – operation, types, characteristics, advantage and their applications. Radar, Ultrasonic Sonar Systems, Lidar Sensor Technology and Systems, Camera
UNIT – III OVERVIEW OF DRIVER ASSISTANCE TECHNOLOGY
Basics of Theory of Operation, Applications, Integration of ADAS Technology into Vehicle Electronics, System Examples, Role of Sensor Data Fusion. Vehicle Prognostics Technology
UNIT – IV ADVANCED DRIVER ASSISTANCE SYSTEMS
Advanced Driver Assistance Systems – Lane Departure (LDW), Active Cruise Control (ACC), Blind Spot Detection, Parking Assist, Autonomous Emergency Braking (AEB), Night Vision, Traffic Sign Recognition (TSR), Intelligent High beam Assistant (IHC), Tire Pressure Monitoring (TPMS), Front Collision Warning System (FCWS), Front Vehicle Departure Warning (FVDW), Adaptive Lighting, Driver Drowsiness Detection, Hill Decent Control, Rear Cross Traffic
UNIT – V ADAS DISPLAY & IMPAIRED DRIVER TECHNOLOGY
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, Transfer of Control Technology
TOTAL: 45 PERIODS
COURSE OUTCOMES:
Upon successful completion of the course, students should be able to:
CO1: Recognize the rational for and evolution of automotive electronics
CO2: Know about the various automotive functions, sensors and
CO3: Familiar with the theory and operation of legacy, new, and emerging ADAS systems and proposed autonomous vehicle systems
CO4: Fundamentals of sensor data fusion as it relates to ADAS
CO5: Apply possible evolution of vehicle prognostics and impaired driver technology
TEXT BOOKS
1. Tom Denton, “Automobile Electrical and Electronic systems, Roultedge”, Taylor & Francis Group, 5th Edition,2018.
2. William B Ribbens, “Understanding Automotive Electronic: An Engineering Perspective”, Elsevier Science,8th Edition,2017.
REFERENCES
1. “Intelligent Transportation Systems and Connected and Automated Vehicles”, Transportation Research Board, 2016.
2. Radovan Miucic, “Connected Vehicles: Intelligent Transportation Systems”, Springer, 2019.