Sensor Fusion – Architectures and Algorithms
- Faculty
Faculty of Engineering and Computer Science
- Version
Version 11.0 of 02/28/2023
- Code of Module
11B1805
- Modulename (german)
Sensorfusion – Architekturen und Algorithmen
- Study Programmes
- Informatik - Technische Informatik (B.Sc.)
- Informatik - Medieninformatik (B.Sc.)
- Mechatronik (B.Sc.)
- Elektrotechnik (B.Sc.)
- Level of Module
2
- Responsible of the Module
Sch?ning, Julius
- Lecturer(s)
- Sch?ning, Julius
- Stiene, Stefan
- Credits
5
- Concept of Study and Teaching
Workload Dozentengebunden Std. Workload Lehrtyp 30 Vorlesungen 30 Seminare Workload Dozentenungebunden Std. Workload Lehrtyp 20 Veranstaltungsvor-/-nachbereitung 25 Literaturstudium 25 Kleingruppen 20 Veranstaltungsvor-/-nachbereitung
- Recommended Reading
Fourati, Hassen, ed. Multisensor data fusion: from algorithms and architectural design to applications. CRC press, 2017.
Hahn, Hernsoo. Multisensor fusion and integration for intelligent systems. Eds. Sukhan Lee, and Hanseok Ko. Springer, 2009.
Blum, Rick S., and Zheng Liu, eds. Multi-sensor image fusion and its applications. CRC press, 2018.
Thomas, Ciza, ed. Sensor fusion and its applications. BoD–Books on Demand, 2010.
Más, Francisco Rovira, Qin Zhang, and Alan C. Hansen. Mechatronics and intelligent systems for off-road vehicles. Springer Science & Business Media, 2010.
- Graded Exam
- Viva Voce
- Project Report, written
- Ungraded Exam
Field Work / Experimental Work
- Duration
1 Term
- Module Frequency
Irregular
- Language of Instruction
German and English