Course

ENV-548: Sensor orientation

Summary

Determination of spatial orientation (i.e. position, velocity, attitude) via integration of inertial sensors with satellite positioning. Prerequisite for applications related to remote sensing, environmental monitoring, mobile mapping, robotics, space exploration, smart-phone navigation, etc.

Lectures

Instructor

Jan Skaloud

Expertise Satellite positioning, inertial and integrated navigation Sensor orientation and calibration, attitude determination Mobile mapping, airborne laser scanning Adjustment methods, Kalman Filtering Mission Teaching in 3 EPFL sections and 2 faculties, director of ESO lab. Books / Monographs J. Skaloud and M. Cramer, «Data Capture,» in GIS Handbook, W. Kresse and D. Danko, Eds. Springer, 2011. D. Lichti and J. Skaloud, «Registration and Calibration,» in Airborne and terrestrial laser scanning, H.-G. Ma

Official source

https://edu.epfl.ch/coursebook/en/sensor-orientation-ENV-548

Moodle Page

http://go.epfl.ch/ENV-548

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Summary

Lectures

Instructor

Jan Skaloud

Official source

https://edu.epfl.ch/coursebook/en/sensor-orientation-ENV-548

Moodle Page

http://go.epfl.ch/ENV-548

About this result

Lectures in this course (43)

Parameter estimation Log in to Mediaspace to watch this video

Covers the concept of parameter estimation using the least square method.

UAV Open Data Log in to Mediaspace to watch this video

Sensor Orientation: Introduction to Sensor Fusion Log in to Mediaspace to watch this video

Introduces the rigorous approach to sensor fusion for modern applications.

Covariance propagation Log in to Mediaspace to watch this video

Covers the concept of covariance propagation through mathematical equations and calculations.

Estimation Example: Least Square Estimation Log in to Mediaspace to watch this video

Covers the concept of least square estimation and its real-world applications.

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