Digital Teaching
The course is planned digitally in WS 21/22.
Lehrinhalte
block event
Multi-sensor integration for precise location and determination of the pose of vehicles (e.g. as basis for mobile mapping systems)
Coupling of GNSS, differential odometers and piezoelectric gyros in the dynamic motion model
Use of different filter algorithms, e.g. Extended Kalman Filter, Unscented Kalman Filter, Particle Filter
Small project: development of algorithms and testing with the help of a test data set
Literature
Will be announced in the course.
Voraussetzungen
Good mathematical knowledge.
Zusätzliche Informationen
The course is held in blocks. The dates will be agreed with the students in a kick-off meeting.
Online-Angebote
Moodle
The course is planned digitally in WS 21/22.
Lehrinhalte
block event
Multi-sensor integration for precise location and determination of the pose of vehicles (e.g. as basis for mobile mapping systems)
Coupling of GNSS, differential odometers and piezoelectric gyros in the dynamic motion model
Use of different filter algorithms, e.g. Extended Kalman Filter, Unscented Kalman Filter, Particle Filter
Small project: development of algorithms and testing with the help of a test data set
Literature
Will be announced in the course.
Voraussetzungen
Good mathematical knowledge.
Zusätzliche Informationen
The course is held in blocks. The dates will be agreed with the students in a kick-off meeting.
Online-Angebote
Moodle
- Lehrende: Andreas Eichhorn
Semester: WT 2021/22