Ray Tracing for Sensor Simulation using Parallel Functional Programming

Examensarbete för masterexamen

Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12380/302022
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dc.contributor.authorJohansson, Johan-
dc.contributor.authorvon Nordenskjöld, Ari-
dc.contributor.departmentChalmers tekniska högskola / Institutionen för data och informationstekniksv
dc.date.accessioned2020-11-02T13:31:16Z-
dc.date.available2020-11-02T13:31:16Z-
dc.date.issued2020sv
dc.date.submitted2020-
dc.identifier.urihttps://hdl.handle.net/20.500.12380/302022-
dc.description.abstractIn the modern automotive industry, cars are tested in virtual environments in order to save time and money. Sensors are important components of modern cars which also need to be tested together with the rest of the car and its software. Ray tracing is an effective method for simulating how light interacts with an environment, and can be used for simulating the sensors used in modern cars. We present an implementation of a physically based ray tracer that can flexibly simulate both vision and LIDAR sensors. This is enabled by the presence of certain features like MIS and spectral path tracing. The ray tracer is written in the parallel functional programming language Futhark, and runs in parallel on the GPU. For validation, we provide a framework of relative measurements which can be used to compare the ray tracer to other implementations, or interpreted as an error to minimise for systematically improving the accuracy of the implementation.sv
dc.language.isoengsv
dc.setspec.uppsokTechnology-
dc.subjectphysically based ray tracingsv
dc.subjectparallel functional programmingsv
dc.subjectsensor simulationsv
dc.subjectLIDARsv
dc.subjectcamerasv
dc.subjectFutharksv
dc.titleRay Tracing for Sensor Simulation using Parallel Functional Programmingsv
dc.type.degreeExamensarbete för masterexamensv
dc.type.uppsokH-
dc.contributor.examinerAssarsson, Ulf-
dc.contributor.supervisorHughes, John-
dc.contributor.supervisorSheeran, Mary-
dc.identifier.coursecodeMPALGsv
Collection:Examensarbeten för masterexamen // Master Theses



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