Scope and credits

2 lecture hours, 1 exercise hour (weekly)
5 credits
Rotus: annually in the winter semester

Date and location - winter semester 2024/25

Tuesdays: 12:15 - 13:45
Fridays: 12:15 - 13:45 (bi-weekly)

Lecture: --
Exercise: --

Start of lecture: --

The lecture can be attended independently of the Automotive Systems lecture!

All further schedules, information and lecture material will be provided in the corresponding Moodle course.

Registration via LSF

Course content

1. Estimation of vehicle dynamics variables (slip angle and road friction coefficient)
2. Environmental sensors and sensor data fusion (radar, lidar, camera)
3. Advanced driver assistance systems (adaptive cruise control, lane departure warning, emergency braking and emergency steering assist)
4. Partially/highly/fully automated driving (situation analysis, trajectory planning)
5. Driver monitoring and handover models)
6. Lighting functions in the context of automated driving

Literature

• Winner, H., S. Hakuli, G. Wolf (eds.): Handbook of Driver Assistance Systems (Vieweg+Teubner)
• Braess, H.-H., U. Seiffert (eds.): Handbuch Kraftfahrzeugtechnik (Vieweg)
• Ludloff, A. (ed.): Praxiswissen Radar und Radarsignalverarbeitung (Vieweg+Teubner)
• Forsyth, D., J. Ponce (eds.): Computer vision: a modern approach (Prentice Hall)
• Goodfellow, I., Y. Bengio, A. Courville (eds.) : Deep learning (MIT press)
• Wördenweber, B.: Automotive Lighting and Human Vision (Springer)