Veranstaltung

LV-Nummer 0430 L 097
Gesamt-Lehrleistung 96,00 UE
Semester WS 2019/20
Veranstaltungsformat LV / Integrierte Veranstaltung
Gruppe Termingruppe 0
Organisationseinheiten Technische Universität Berlin
Fakultät IV
↳     Institut für Energie und Automatisierungstechnik
↳         34311800 FG Regelungssysteme (Control Systems)
URLs
Label
Ansprechpartner*innen
Seel, Thomas ; Puranik, Susheel Prakash
Verantwortliche
Sprache Englisch

Termine (2)


Di. 15.10.19 - 11.02.20, wöchentlich, 14:00 - 16:00

Charlottenburg
,
E 020

34311800 FG Regelungssysteme (Control Systems)

48,00 UE
Einzeltermine ausklappen

Mi. 16.10.19 - 12.02.20, wöchentlich, 10:00 - 12:00

Charlottenburg
,
E 020

34311800 FG Regelungssysteme (Control Systems)

48,00 UE
Einzeltermine ausklappen
Legende
08:00
09:00
10:00
11:00
12:00
13:00
14:00
15:00
16:00
17:00
Mo.
Di.
Inertial Sensor Fusion
Termingruppe 0
Charlottenburg, E 020
Seel, Thomas
Mi.
Inertial Sensor Fusion
Termingruppe 0
Charlottenburg, E 020
Seel, Thomas
Do.
Fr.
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Inhalt

Students will be able to employ inertial sensor technologies and sensor fusion methods for applications in research and industry. They will be capable of understanding and handling the complexity of inertial sensor data and will have command of a versatile set of methods for realtime processing of inertial measurements. This includes being able to track the orientation and position of an unmanned aerial vehicle and being able to track the motion of multi-link kinematic chains, e.g. robotic actuators or human limbs, in three dimensional space.

Students will acquire knowledge on inertial sensor technologies for motion tracking of aerial/ground/water vehicles, robotic actuators and human body segments. They will learn and apply methods for sensor fusion and analysis of inertial mesurement data. This includes methods to estimate the orientation and position of moving objects in three-dimensional space as well as methods for calculating joint angles or classifying human motion. Since most of the considered applications are feedback control problems, the course focuses on realtime algorithms. The methods will be applied to application data during designated computer lab instructions integrated in this module.