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Computational Verification of IlluminationBheemeswara Aravind, Poolla January 2021 (has links)
Background: Automobile lighting is a major function on any automobile to illuminate the road to let drivers and commuters see the road ahead. It also serves a variety of other purposes. However, it is now becoming a luxury design feature, with each automobile manufacturer having their own unique lamps. Every car manufacturer now has its own characteristic lights that can be recognized from a considerable distance, and they strive for homogeneity. As a result, it’s critical to check and assess a lamp's homogeneity during the product development phase to identify any potential flaws. Objectives: This research presents a HDRImage encoding for visualizing and verifying luminance data in image format. For an intuitive and subjective evaluation also the colour is used. Secondly, using the mean filter technique to validate an internal Volvo Cars lit surface homogeneity requirement and automate the time-consuming process. Lastly, using the ISOcontour approach to propose and implement a simple yet effective verification method for distributed light homogeneity. Methods: The research methods used in this study are literature review and experiment. To discover further about HDRImage encoding using luminance data, as well as existing light measurement and evaluation approaches, a literature review is conducted. The appropriate approaches for this study are then combined and implemented to produce a verification method that uses the homogeneity requirement to automatically verify lit surfaces. This thesis also presented ISOcontour lines as a way for evaluating distributed light. Results: The findings of this thesis demonstrate that it is possible to develop a method for verifying and evaluating luminance data obtained from simulation software and photometers without relying on any licensed software for light evaluation. The methods are, for visualisation using HDRImage encoding, a method to evaluate light such as false colour, ISOcontour lines for distributed light verification, and an automatic homogeneity verification approach for lit surface to make the verification of illumination process efficient. Conclusions: Experiment provided a means of visualizing luminance data of both virtual and physical prototypes, verifying distributed light, and automatically verifying it surface homogeneity, while literature review assisted in gathering information in certain fields to better comprehend light evaluation methods.
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