Automotive Engineering with Intelligent Vehicles @ CU-ICAR - Rising 9th-12th Graders

This course introduces and discusses the advanced driver-assistance systems (ADAS) features of intelligent vehicles for driving safety. The objectives of the courses are to:

  • Learn the physical principles of advanced automotive sensors and the engineering design of intelligent vehicle behaviors;
  • Bridge the cognition gap between our intuitive expectation and the engineering characteristics of the intelligent ADAS features;
  • Discuss the limitation of sensors and frontier machine perception algorithms to avoid over-trust on intelligent vehicles.

The tentative contents for this course include:

  1. Introduce the physical principles of automotive perceptive sensors, such as Radar, LiDAR, Camera and GPS, to engage the curiosity of the students.
  2. Show the demo and capabilities of frontier machine intelligence for intelligent ADAS, to broaden the vision of AI for the students;
  3. Discuss intelligence ADAS features which the students wish to have in his/her future intelligent (but not fully autonomous) vehicles, to engage the imagination of the students.
  4. Conduct survey on existing ADAS features of commercial vehicles, to engage the participation of the students by presenting these features.
  5. Discuss methods to identify pitfalls of these intelligent ADAS features, from both sensor physics and machine learning perspectives.

This course is offered during Session Two (June 7-13). It will be held at the CU-ICAR campus in Greenville, SC. Each day scholars will be transported to this campus.

Course Leader: Bing Li