Course

Syllabus

Electronic Systems in Automotives, Introduction to E/E Architecture, Connected cars, Types of E/E architectures: Flat Architecture, Domain Architecture, Zonal Architecture: Topologies, Networking and Simulators used for Autonomous Vehicles,

ADAS – features – safety assessment – design considerations – hardware – software stack – vehicle modeling – control – adaptive cruise – adaptive headlights – ABS – parking assist – emergency braking – blind spot monitoring – electronic stability – collision warning – lane keeping – ISO 26262 – camera model – calibration – monocular vision – stereo vision – object detection – motion planning – scenarios – constraints – occupancy grid – LIDAR – HD maps – shortest path – motion prediction – time to collision – UNECE – GSR – Indian regulations.

Pre-requisite: Nil

Course Objective

• To understand electronic systems, E/E architectures, topologies, networking, and simulators used in connected and autonomous vehicles.
• To analyze and implement ADAS functions using sensors, control models, perception systems, planning algorithms, and safety regulations.

Course Outcomes

CO1: Explain automotive electronic systems, E/E architectures, and communication topologies.

CO2: Analyze connected vehicle systems, simulators, and autonomous networking.

CO3: Design and evaluate ADAS features using control models, hardware, and software stacks.

CO4: Apply sensor technologies, perception algorithms, and global safety standards in intelligent vehicle systems.

CO-PO Mapping

1. Lipson, H & Kurman, M, Driverless: Intelligent Cars on the Road Ahead, MIT Press, 2020.
2. Dan Simon, “Optimal State Estimation: Kalman, H∞, and Nonlinear Approaches”, John Wiley & Sons, 2012.
3. Lawrence A. Klein, “Sensor and Data Fusion – A Tool for Information Assessment and Decision Making”, Second Edition, SPIE Press, USA,2012.
4. Ian Goodfellow, Yoshua Bengio, Aaron Courville, “Deep Learning”, MIT Press, 2016.
5. David Forsyth, Jean Ponce, “Computer Vision: A Modern Approach”, Pearson, 2023.
6. Yan Li and Hualiang Shi (Eds.), Advanced Driver Assistance Systems and Autonomous Vehicles: From Fundamentals to Applications, Springer Nature Singapore, 2022.
7. Thomas Königseder and Kirsten Matheus, Automotive Ethernet, 3rd Edition, Cambridge University Press, 2021.
8. William Ribbens, “Understanding Automotive Electronics: An Engineering Perspective”, 7^th Edition, Butterworth-Heinemann, 2012.
9. H. Winner et al. (Eds.), Handbook of Driver Assistance Systems, Springer Cham, 2016.
10. Luca Venturi and Krishtof Korda, Hands-on Vision and Behavior for Self-Driving Cars, Packt Publishing Limited, 2020.