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04.10.2022 12:01:46
inf333 - Sensor Technology in the Automotive Domain (Complete module description)
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Module label Sensor Technology in the Automotive Domain
Modulkürzel inf333
Credit points 6.0 KP
Workload 180 h
Institute directory Department of Computing Science
Verwendbarkeit des Moduls
  • 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
Zuständige Personen
Lehrenden, Die im Modul (Prüfungsberechtigt)
Boll-Westermann, Susanne (Module responsibility)
Prerequisites
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
Literaturempfehlungen
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 once a year
Module capacity 100
Modullevel / module level AS (Akzentsetzung / Accentuation)
Modulart / typ of module
Lehr-/Lernform / Teaching/Learning method V+Ü
Vorkenntnisse / Previous knowledge
Form of instruction Comment SWS Frequency Workload of compulsory attendance
Lecture 2 SoSe 28
Exercises 2 SoSe 28
Präsenzzeit Modul insgesamt 56 h
Examination Prüfungszeiten Type of examination
Final exam of module
At the end of the lecture period
Practikal Work and oral exam