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:
- Introduce the physical principles of automotive perceptive sensors, such as Radar, LiDAR, Camera and GPS, to engage the curiosity of the students.
- Show the demo and capabilities of frontier machine intelligence for intelligent ADAS, to broaden the vision of AI for the students;
- 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.
- Conduct survey on existing ADAS features of commercial vehicles, to engage the participation of the students by presenting these features.
- 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