NA406E - Inertial Sensors and Hybridization Techniques

Objectives

General objective:

This class introduces first, the main sensors used to improve satellite positioning, then inertial navigation principle and last the main hybridisation techniques used to fuse GPS measurements with other sensors measurements.
The objective of this class is to know the sensors and their measurement models, to know the main data fusion techniques, and to be able to design and implement hybridisation algorithms as well as to be able to assess their performance.
For specific applications this class will be complement with the following lectures: «Pedestrian and Car Positioning», «Integrity Monitoring with Inertial Sensors and Hybridization»

Hours

• Lecture : 10h
• Supervised Practical Work : 6h
• Labs work : 2h

Form of assessment

Total assessment hours: 0.33