Workload Analysis of Active Safety Processor

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dc.contributor.authorLiu, Haoge
dc.contributor.departmentChalmers tekniska högskola / Institutionen för data- och informationsteknik (Chalmers)sv
dc.contributor.departmentChalmers University of Technology / Department of Computer Science and Engineering (Chalmers)en
dc.date.accessioned2019-07-05T11:58:08Z
dc.date.available2019-07-05T11:58:08Z
dc.date.issued2018
dc.description.abstractActive Safety (AS) is an important feature to protect drivers and passengers in vehicles, however, the growing complexity of AS functions increases the CPU workload of the AS processor. This thesis attempts to 1) identify the signals that cause more CPU workload than others and 2) predict this CPU workload. In order to achieve the purpose, regression models of CPU workload in real-time contexts are proposed. Based on these models, different feature selection techniques are used to rank the contributions of signals. As a result, given the sampled input signals to all the software modules that are embedded running on the CPU, a model for predicting CPU workload in a real-time context is proposed. Signals and the associated contribution coefficients are listed using different feature selection methods and criteria. Volvo Car Corporation will be able to trace back to the functions that generate signals with high contribution coefficients according to the list of signals, and improve the corresponding AS functions to decrease the CPU workload.
dc.identifier.urihttps://hdl.handle.net/20.500.12380/257113
dc.language.isoeng
dc.setspec.uppsokTechnology
dc.subjectInformations- och kommunikationsteknik
dc.subjectData- och informationsvetenskap
dc.subjectInformation & Communication Technology
dc.subjectComputer and Information Science
dc.titleWorkload Analysis of Active Safety Processor
dc.type.degreeExamensarbete för masterexamensv
dc.type.degreeMaster Thesisen
dc.type.uppsokH
local.programmeEmbedded electronic system design (MPEES), MSc
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