Description
Sensor fusion for autonomous navigation systems. Topics include reference frames, maps representation, state estimation, error modelling, localization and mapping, sensors for autonomous navigation, sensor fusion algorithms. The course is for students with background in signals/systems, linear-algebra, and probability. Programming in Matlab or Python is essential.
Reference text in its original language
Sensor fusion for autonomous navigation systems. Topics include reference frames, maps representation, state estimation, error modelling, localization and mapping, sensors for autonomous navigation, sensor fusion algorithms. The course is for students with background in signals/systems, linear-algebra, and probability. Programming in Matlab or Python is essential.
Sources and references
Dates and sources are retained to help you verify the information. Translations are provided to facilitate reading; the official source governs conditions and requirements.
Source reference : https://calendar.carleton.ca/grad/courses/SYSC/