Automated, Connected, and Intelligent Vehicles

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A course towards an automotive technology associate degree program or advanced certificate program in modern automotive technology electronic systems.


The goal of the course is to introduce students to the various technologies and systems used to implement Advanced Driver Assistance Systems (ADAS).

These systems have the overall impact of automating various driving functions and create a safer driving experience for the passengers.

The basics of automotive electronics, fundamentals of electronic control systems, and the evolution of these systems will be introduced. The necessary components needed to implement ADAS include advanced location and vehicle surroundings sensors, wireless technology, and the networking and processing of data are presented.

The details of various ADAS are covered including the most recent innovations: lane keeping, collision avoidance, automatic emergency braking, and autonomous vehicles. Other course topics include: sensor data fusion, advanced display and driver warning technology, impaired/medical emergency driver sensor technology, vehicle prognostics, and system troubleshooting.

The course lectures, handouts, homework assignments, lab exercises and projects, and exams are designed to train community college students that are in automotive advanced certificate and/or associate degree programs. The materials may also be adapted for use in the training of incumbent workers.

Basic electricity/electronics theory and/or automotive electronics basics Basic knowledge of the operation of traditional vehicle systems: brakes, suspension and steering, drivetrain, engine, engine electrical, emission controls, fuel and exhaust systems, environmental systems, etc.

The learning outcomes are to have students:
1. Understand the rational for and evolution of automotive electronics;
2. Understand which automotive systems have been replaced by electronic control systems and the advantage of doing so;
3. Understand the fundamental theory of operation of electronic control systems;
4. Understand the basics of how automotive ECUs function in conjunction with the vehicle data bus networks and sensors;
5. Become familiar with the various types of advanced driver assistance systems; 6. Understand the concept of cyber-physical control systems and their application to collision avoidance and autonomous vehicles;
7. Understand the concept of remote sensing and the types of sensor technology needed to implement remote sensing;
8. Understand the basic concepts of wireless communications and wireless data networks;
9. Understand the concept of wireless standards and the roll of various organizations in the development and evolution of these standards;
10. Understand the fundamental principles of data networking and its roll in ADAS and future autonomous vehicles;
11. Be familiar with protocols and IP addressing;
12. Understand the fundamentals of on-board vehicle networks;
13. Understand the concept of the connected vehicle and its role in ADAS and automated vehicles;
14. Become familiar with the theory and operation of legacy, new, and emerging ADAS systems and proposed autonomous vehicle systems;
15. Understand the fundamentals of sensor data fusion as it relates to ADAS;
16. Become familiar with modern vehicle display/cluster technology;
17. Become aware of the possible evolution of vehicle prognostics and impaired driver technology;
18. Become familiar with the concept of fully autonomous vehicles;
19. Become familiar with the concepts of programming of ECUs;
20. Demonstrate effective communication and teamwork skills through technical presentations and reports in course lab projects.

This material is based upon work supported by the National Science Foundation under Grant No. 1400593. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

Connected and Automated Vehicles
Product Lifecycle:
Pre-production: Research, Design, Development, Testing, and Tooling
Resource Type:
Classroom Activity
Lab Activity
Lesson Plan
Springfield Technical Community College
Author & Title:
Professor, Gary J. Mullett, Electronics Group
Date Developed:
Wednesday, June 07, 2017
Advanced driver assistance systems (ADAS),connected automated vehicles (CAV),engineering,education,electronic control systems,environmental systems,technology
Education Level:
Undergrad Students (13-14)
Undergrad Students (15-16)