HELP College Catalog 2022-2023 [ARCHIVED CATALOG] Print this Page Add to Favorites (opens a new window)

AUTO 2000 - Connected, Automated, & Intelligent Vehicles

Credit Hours: 3.00

Objectives:

1. Identify which automotive systems have been replaced by electronic control systems
2. Apply the fundamental theory of operation of electronic control systems
3. Apply the basics of how automotive electronic control units (ECUs) function in conjunction with the vehicle data bus networks and sensors
4. Identify the various types of advanced driver assistance systems (ADAS)
5. Apply and their application to collision avoidance and autonomous vehicles
6. Identify the advantages of fully automated vehicles with regard to impaired driver technology

Outcome 2: Student will be able to explain the six different levels of automation

Objectives:

1. Analyze modern display/cluster technology in semi-automated vehicles
2. Compare the responsibility for the vehicle action: human driver versus the cyber-physical control systems
3. Analyze differences in the human-machine interface in semi-automated vehicles

Outcome 3: Student will compare the types of sensor technology needed to implement remote sensing of objects

Objectives:

1. Analyze the operation of radar systems and data
2. Analyze the operation of camera systems and data
3. Analyze the operation of Lidar systems
4. Analyze the operation of utltra-sonic sensors
5. Identify the strengths and weaknesses of each of the above systems

Outcome 4: Student will be able to explain the concept of a connected vehicle

Objectives:

1. Apply the  basic concepts of wireless communications and wireless data networks
2. Interpret the role of various organizations in the development and evolution of vehicle to vehicle and vehicle to infrastructure standards
3. Give real-world examples of data networking and its roll in advanced driver assistance systems (ADAS) and future autonomous vehicles
4. Identify protocols, and IP addressing, and on-board vehicle networks

Outcome 5: Student will analyze the concept and advantages of sensor data fusion

Objectives:

1. Identify the reasons for redundancy in sensors
2. Interpret the importance of signal to noise ratio
3. Use sensor inputs to control system response
4. Analyze new skill sets needed by technicians to work on intelligent vehicles

1. Introduction to Automated, Connected, and Intelligent Vehicles   
   1. Introduction to the Concept of Automotive Electronics;  Automotive Electronics Overview, History & Evolution; Infotainment, Body, Chassis, and Powertrain Electronics;  Advanced Driver Assistance Electronic Systems
2. Connected and Autonomous Vehicle Technology  
   1. Basic Control System Theory applied to Automobiles; Overview of the Operation of ECUs; Basic Cyber-Physical Systems,   Theory and Autonomous Vehicles; Role of Surroundings Sensing Systems and Autonomy; Role of Wireless Data Networks and Autonomy
3. Sensor Technology for Advanced Driver Assistance Systems
   1. 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
4. Overview of Wireless Technology
   1. Wireless System Block Diagram and Overview of Components; Transmission Systems - Modulation/Encoding; Receiver System Concepts - Demodulation/Decoding; Signal Propagation Physics; Basic Transmission Line and Antenna Theory
5. Wireless System Standards and Standards Organizations
   1. Role of Standards; Standards Organizations; Present Standards for Autonomous Applications
6. Wireless Networking and Applications to Vehicle Autonomy
   1. Basics of Computer Networking - the Internet of Things; Wireless Networking Fundamentals; Integration of Wireless Networking and On-Board Vehicle Networks; Review of On-Board Networks - Use & Function
7. Connected Car Technology
   1. Connectivity Fundamentals; Navigation and Other Applications; Vehicle-to-Vehicle Technology and Applications; Vehicle-to-Roadside and Vehicle-to-Infrastructure Applications; Wireless Security Overview
8. Advanced Driver Assistance System Technology
   1. Basics of Theory of Operation; Applications - Legacy; Applications - New, Applications - Future; Integration of ADAS Technology into Vehicle Electronics; System Examples; Role of Sensor Data Fusion
9. Connected Car Display Technology
   1. Center Console Technology; Gauge Cluster Technology; Heads-Up Display Technology; Warning Technology - Driver Notification
10. Impaired Driver Technology
    1. Driver Impairment Sensor Technology; Sensor Technology for Driver Impairment Detection; Transfer of Control Technology
11. Vehicle Prognostics Technology
    1. Monitoring of Vehicle Components; Basic Maintenance; End-of-Life Predictions; Advanced Driver Assistance System Sensor Alignment and Calibration
12. Autonomous Vehicles
    1. Driverless Car Technology; Moral, Legal, Roadblock Issues; Technical Issues;  Security Issues
13. Present Advanced Driver Assistance System Technology Examples
    1. Toyota, Nissan, Honda, Hyundai; Volkswagen, BMW, Daimler; Fiat Chrysler Automobiles; Ford, General Motors
14. Troubleshooting and Maintenance of Advanced Driver Assistance Systems
    1. Failure Modes - Self Calibration; Sensor Testing and Calibration; Redundant Systems; Standard Manufacturing Principles
15. Non-Passenger Car Advanced Driver Assistance Systems and  Autonomous Operation
    1. Uber/Lyft - Disruptive Technology; Trucking; Farming; Mining; Shipping & Rail; Military
16. Course review and final exam
    
    Note: course materials, including weekly lectures, to assist the instructor have been developed by the Center for Advanced Automotive Technology

Print this Page