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22.02.2024 03:23:53
inf333 - Sensor Technology in the Automotive Domain (Complete module description)
Original version English PDF download
Module label Sensor Technology in the Automotive Domain
Module abbreviation inf333
Credit points 6.0 KP
Workload 180 h
Institute directory Department of Computing Science
Applicability of the module
  • Master's Programme Computing Science (Master) > Technische Informatik
  • Master's Programme Engineering of Socio-Technical Systems (Master) > Embedded Brain Computer Interaction
  • Master's Programme Engineering of Socio-Technical Systems (Master) > Human-Computer Interaction
  • Master's Programme Engineering of Socio-Technical Systems (Master) > Systems Engineering
Responsible persons
  • Köster, Frank (module responsibility)
  • Lehrenden, Die im Modul (authorised to take exams)
Prerequisites
No participant requirements
Skills to be acquired in this module
This module introduces the principles of sensors and sensor-systems as well as data-fusion in the automotive domain.
Professional competences:
The students:
  • Discuss different levelsdiverse levels sensor-technologies
  • Discuss sensor-data fusion (multi-level fusion)
  • Discuss Kalman-Filter - Discuss in-vehicle data-processing
  • Discuss car2cx-technologies - Design simple multi-sensor systems
  • Evaluate multi-sensor systems

Methodological competences:
The students:
  • Analyze multi-sensor systems
  • Design multi-sensor systems
  • Evaluate multi-sensor systems

Social competences:
The students:
  • Work in teams
  • Discuss their outcomes appropriately

Self-competences:
The students:
  • Acknowledge the limits of their ability to cope with pressure during the work on the topics of the module
Module contents
  • Sensor-technologies
  • Data fusion (multi-level fusion)
  • Kalman-Filter
  • In-vehicle data-processing
  • Car2cx-technologies (ITS G5 and 5G)
  • Multi-sensor and multi-lvel fusion architectures
Recommended reading
Suggested reading:
  • Maurer, M., Gerdes, J.C., Lenz, B., Winner, H. (Eds.) (2015). Autonomes Fahren (Technische, rechtliche und gesellschaftliche Aspekte), Springer (Open Access).
  • Tille, T. (2016). Automobil-Sensorik: Ausgewählte Sensorprinzipien und deren automobile Anwendung. Springer.
Links
Language of instruction English
Duration (semesters) 1 Semester
Module frequency annual
Module capacity unlimited
Teaching/Learning method 1VL + 1Ü
Previous knowledge keine
Type of course Comment SWS Frequency Workload of compulsory attendance
Lecture 2 SoSe 28
Exercises 2 SoSe 28
Total module attendance time 56 h
Examination Examination times Type of examination
Final exam of module
At the end of the lecture period
Practikal work and oral exam