Sensor Modeling with a focus on noise modeling in the context of Self-Driving Vehicles using Neural Network

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Examensarbete för masterexamen
Master Thesis
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2016
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ESMI, SIAMAK
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System Simulation has become an indistinct part of developments in which there are complexity involved. In this thesis, modeling of one of the most applicable sensors in automotive industry is carried out by applying a machine learning method known as neural networks. This report outlines a method of employing a combination of neural network techniques to model system behaviour; an applicable method compatible with any type of data. By integrating this sensor model into simulation environment (OpenDaVINCI), simulation test which plays an important role in testing of selfdriving vehicles will become more realistic.
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Building Futures, Grundläggande vetenskaper, Hållbar utveckling, Innovation och entreprenörskap (nyttiggörande), Annan naturvetenskap, Annan teknik, Annan medicin och hälsovetenskap, Andra lantbruksrelaterade vetenskaper, Annan samhällsvetenskap, Annan humaniora, Building Futures, Basic Sciences, Sustainable Development, Innovation & Entrepreneurship, Other Natural Sciences, Other Engineering and Technologies, Other Medical Sciences, Other Agricultural Sciences, Other Social Sciences, Other Humanities
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