CEC Semester Sixteen 2019
Multi-Sensor Data Fusion
Louis Giokas -
December 9,
2019
The Sensor Fusion Problem
In this class, we will review the sensor fusion problem and lay out requirements. The use of multiple, heterogeneous sensors requires more processing and is more complex than situations using a single sensor type.
Course Resources
Special Educational Materials
December 10,
2019
Algorithms
Many types of algorithms can be used in multi-sensor data fusion. Many are statistical, but not all. In this class, we will discuss the types of algorithms available.
Course Resources
Special Educational Materials
December 11,
2019
Sensor Types
Understanding the types of sensors involved is critical. Each type of sensor contains different information and covers a different spatial range. By layering sensors in an intelligent way, we can develop the picture required for the task at hand.
Course Resources
Special Educational Materials
December 12,
2019
Sensor Fusion
In this class, we pull together the lessons learned in the previous sessions to come up with a general approach to the problem. We will demonstrate how systems can be developed and discuss some of the tools that will prove useful. This includes frameworks that can be applied to multiple problems.
Course Resources
Special Educational Materials
December 13,
2019
Applications
In this class, we will give examples of multi-sensor data fusion, which include robotics, autonomous vehicles, and military aviation.
Course Resources
Special Educational Materials
Instructor
Louis Giokas