3D Sensordatenverarbeitung



  • In-depth understanding of 3D sensor data
  • Datastructures for 3D point cloud processing
  • Hands-on experience with state of the art software libraries
  • Practical programming skills in C/C++

Exemplary Content

  • Camera models and calibration
  • 3D sensors
  • 3D point cloud processing
  • Surface reconstruction from 3D point clouds
  • Date segmantation and interpretation


Title 3D Sensordatenverarbeitung
Semester Each summer semester
Duration 1 Semester
Exam Written exam (120 min) or oral exam (30 min)
Examination Requirements In the exam, those through the entire module become too mediating qualifications.
Modul Concluding Committee Departmental Council Mathematics / Computer Science
Modul Representative Modul- und Vorlesungsverzeichnis-Beauftragte(r) der Informatik
Preliminary Examinations
  • Successful participation in the exercises
  • Successful presentation of the programming assignments to the tutors

Credit hours per week

Semesterwochenstunden (SWS), 1 SWS is about 15 hours in the whole semester.

Presence Self-Study Total
Lecture 2 SWS 4 SWS 6 SWS
Exercises 2 SWS 4 SWS 6 SWS
Gesamt 4 SWS 8 SWS 12 SWS