Course: Data Fusion Architecture credits: 5

Course code
SEVM21DFA
Name
Data Fusion Architecture
Study year
2023-2024
ECTS credits
5
Language
English
Coordinator
M. Sedighi
Modes of delivery
  • Lecture
  • Project-based learning
Assessments
  • Data Fusion Architecture - Assignment

Learning outcomes

At the end of this module the student is able to:   
  • create data processing software for a sensor system which combines multi-sensor data into correct interpretations.  
  • analyse system requirements to identify applicable sensor fusion architectures.  
  • analyse data acquisition by a sensor system to construct a common representational format.  
  • adapt sensor system design to create correct temporal and spatial alignment and normalization of multi-sensor data.
  • design interfaces for sensor system management.  
  • design and implement a system architecture using data stream management systems   
design and implement mathematical data fusion models  

Content


The course covers the following topics: sensor fusion architectures, common representational format, temporal and spatial alignment, error propagation analysis and device virtualization.  
 

Included in programme(s)

School(s)

  • Institute of Engineering
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