Measurement Error Simulation for Lidar

dc.contributor.authorBayraktaroglu, Sena
dc.contributor.departmentChalmers tekniska högskola / Institutionen för data och informationstekniksv
dc.contributor.departmentChalmers University of Technology / Department of Computer Science and Engineeringen
dc.contributor.examinerAssarsson, Ulf
dc.contributor.supervisorSintorn, Erik
dc.date.accessioned2023-11-23T11:08:08Z
dc.date.available2023-11-23T11:08:08Z
dc.date.issued2023
dc.date.submitted2023
dc.description.abstractAutonomous vehicles require plenty of testing and validation, and simulation environments are a good choice for validation since they enable the testing of multiple scenarios. One of the most common sensors in the field is the Lidar sensor, which allows the retrieval of 3D information from the environment, often used with other sensors and cameras. Measurement errors become important when using a Lidar sensor with other sensors. However, these errors are not correctly included or modeled in most simulation environments. This thesis work aims to explore how measurement errors can be included in the simulation environment. A model was developed to find the error’s standard deviation depending on the target material’s reflectivity and distance and applied with the Weierstrass fractal function to model the repetitive behavior of the error. Results show that Weierstrass fractal function was appropriate for modeling the repetitive behavior. The model developed for the standard deviation of the error was working well in close distances, while further experimentation was needed for long ranges.
dc.identifier.coursecodeDATX05
dc.identifier.urihttp://hdl.handle.net/20.500.12380/307391
dc.language.isoeng
dc.setspec.uppsokTechnology
dc.subjectLight detection ranging (LIDAR)
dc.subjectmeasurement error
dc.subjectsimulation
dc.titleMeasurement Error Simulation for Lidar
dc.type.degreeExamensarbete för masterexamensv
dc.type.degreeMaster's Thesisen
dc.type.uppsokH
local.programmeHigh-performance computer systems (MPHPC), MSc
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