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Ray tracing 3D source modelling for optical reflectance sensing with wireless ranging application

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Marsic, Vlad, Kampert, Erik and Higgins, Matthew D. (2021) Ray tracing 3D source modelling for optical reflectance sensing with wireless ranging application. In: 2021 IEEE International Symposium on Robotic and Sensors Environments (ROSE), Virtual, 28-29 Oct 2021. Published in: 2021 IEEE International Symposium on Robotic and Sensors Environments (ROSE) pp. 1-8. ISBN 9781665440622. doi:10.1109/ROSE52750.2021.9611767

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Official URL: http://dx.doi.org/10.1109/ROSE52750.2021.9611767

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Abstract

This study delivers a powerful comparison case for six of the most common ray tracing (RT) source models. It demonstrates that in the early stages of the RT algorithm, when only the ray-geometry intersection and ray-reflectance are introduced, the ray source modelling is a pivotal event in the simulation. The six models are compared in a large three-dimensional (3D) scenario of the well-known double-slit experiment, with the comparison metrics delivered by the number of rays that intersect the back screen and the total simulation time. The numerical results for a variable number of 2, 000; 10, 000; 25, 000 and 100, 000 rays that emulate each of the six source models, are accompanied by the simulation's visual output samples to eliminate abstract ambiguities. This work's main contribution applies directly to the RT simulation for wireless ranging, since scientific programming environments such as MA TLAB are extensively utilised in this research field, which provide the required modelling customisation. Moreover, for machine sensing areas involving optical ranging or light detection and ranging (LIDAR) mapping, the presented study provides valuable information about efficient modelling for ray fascicle launching. Furthermore, since RT simulations enable the latest performances in the gaming and animation industries, the basic and clear information presented in this work supports the next generation of their developers in the delivery of hardware and software implementations.

Item Type: Conference Item (Paper)
Subjects: T Technology > T Technology (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering
T Technology > TL Motor vehicles. Aeronautics. Astronautics
Divisions: Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group)
Library of Congress Subject Headings (LCSH): Wireless communication system, Ray tracing algorithms, Computer graphics, Wireless sensor networks
Journal or Publication Title: 2021 IEEE International Symposium on Robotic and Sensors Environments (ROSE)
Publisher: IEEE
ISBN: 9781665440622
Book Title: 2021 IEEE International Symposium on Robotic and Sensors Environments (ROSE)
Official Date: 24 November 2021
Dates:
DateEvent
24 November 2021Published
7 September 2021Accepted
Page Range: pp. 1-8
DOI: 10.1109/ROSE52750.2021.9611767
Status: Peer Reviewed
Publication Status: Published
Reuse Statement (publisher, data, author rights): © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Access rights to Published version: Restricted or Subscription Access
Date of first compliant deposit: 25 November 2021
Date of first compliant Open Access: 26 November 2021
Conference Paper Type: Paper
Title of Event: 2021 IEEE International Symposium on Robotic and Sensors Environments (ROSE)
Type of Event: Conference
Location of Event: Virtual
Date(s) of Event: 28-29 Oct 2021

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