Autonomous Vehicles

This module introduces the student to autonomous vehicles and the fundamental differences between AVs and EVs. The various levels of autonomy are discussed as well as the benefits of each respective level.  A comparison of relative and global localization is presented, Various types of odometry sensors and AV steering controllers are described. In addition, the module also provides an introduction to artificial intelligence (AI).

Learning Outcomes:

Upon completion of this module the student will be able to:

  • Differentiate between an AV and EV
  • Define phantom traffic jams
  • List three benefits of AVs
  • Describe the meaning of spatial perception
  • Name the six levels of autonomy
  • Differentiate between static and dynamic object detection
  • Explain the basic principle of Kalman filters
  • Describe the operation of flash LiDAR
  • Compare relative and global localization
  • Explain the purpose of sensor fusion
  • Name two types of odometry sensors
  • Discuss the three most popular AV steering controllers
  • Define the term Artificial Intelligence (AI)
  • Differentiate between machine learning & deep learning
Display Order