Connected and Autonomous Vehicles: Sensors and Sensor Fusion Unit 1 - Random Processes and Estimation
In this unit we review concepts about signal processing, random processes and estimation.
Signal processing is necessary in order to use and extract useful features from the data coming from sensors.
Random processes are important in modelling and describing phenomena that vary in random manners.
Finally, estimation is a branch of statistics that extracts useful information from random processes and in the last section of this module we will investigate some aspects of it.
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• Understand specific sensing jargon in order to be able to understand what corresponds to what in measurements
• Appreciate the effects of uncertainty on measurements
• Review different statistical models