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Designing a Vehicle Mounted High Resolution Multi-Spectral 3D Scanner: Concept Design

Authors:

Gregory Meyers,

Martin Mayfield,

Danielle Densley Tingley,

Daniel CocaAuthors Info & Claims

DATA'19: Proceedings of the 2nd Workshop on Data Acquisition To Analysis

Pages 16 - 21

https://doi.org/10.1145/3359427.3361921

Published: 10 November 2019 Publication History

Abstract

Buildings can improve their energy efficiency through retrofitting and thus decrease energy demand throughout the life of the building. However, evaluating building retrofit opportunities at a city level is a significant challenge. This requires identifying where in the city the biggest energy efficiency gains can be made and in the most cost-effective way. A surveyor is typically relied upon to manually assess a building for insulation absence, defective installation, thermal leakage and other similar issues. To perform these inspections across whole cities would be prohibitively time intensive. There is therefore a need for a faster approach to detect and prioritise a city's retrofit requirements so that effective value for money decisions can be made. In this paper, the concept design of a vehicle mounted integrated sensing platform to collect high resolution visual, thermal and 3D scene data of the built environment at a city scale is presented. Initial design considerations are first explored before an initial concept design is presented and evaluated. From the evaluation, a number of concerns about the design were raised. Based on these findings, a significantly revised concept design is subsequently presented that addresses the aforementioned issues.

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Cited By

Dai MJurczyk JArbabi HMao RWard WMayfield MLiu GTingley D(2024)Component-Level Residential Building Material Stock Characterization Using Computer Vision TechniquesEnvironmental Science & Technology10.1021/acs.est.3c09207Online publication date: 9-Feb-2024
https://doi.org/10.1021/acs.est.3c09207
Pawar VMande SRizvi I(2023)Airborne UAV Remote Sensor Position Accuracy Algorithm in Catastrophes ZonesJournal of Aerospace Sciences and Technologies10.61653/joast.v72i4.2020.216(245-261)Online publication date: 31-Jul-2023
https://doi.org/10.61653/joast.v72i4.2020.216
Pawar VMande SRizvi I(2023)Ballistics Algorithm for Airborne Remote Sensor Position in Catastrophe ZonesProceedings of UASG 2021: Wings 4 Sustainability10.1007/978-3-031-19309-5_30(435-455)Online publication date: 16-Mar-2023
https://doi.org/10.1007/978-3-031-19309-5_30
Show More Cited By

Index Terms

Designing a Vehicle Mounted High Resolution Multi-Spectral 3D Scanner: Concept Design
1. Hardware
  1. Communication hardware, interfaces and storage
    1. Sensor devices and platforms
  2. Emerging technologies
    1. Analysis and design of emerging devices and systems
2. Human-centered computing
  1. Ubiquitous and mobile computing
    1. Ubiquitous and mobile computing design and evaluation methods

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Published In

cover image ACM Conferences

DATA'19: Proceedings of the 2nd Workshop on Data Acquisition To Analysis

November 2019

71 pages

ISBN:9781450369930

DOI:10.1145/3359427

Copyright © 2019 Owner/Author.

This work is licensed under a Creative Commons Attribution International 4.0 License.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 10 November 2019

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Research-article
Research
Refereed limited

Funding Sources

Engineering and Physical Sciences Research Council

Conference

SenSys '19

Sponsor:

SenSys '19: The 17th ACM Conference on Embedded Networked Sensor Systems

November 10, 2019

NY, New York, USA

Acceptance Rates

DATA'19 Paper Acceptance Rate 16 of 21 submissions, 76%;

Overall Acceptance Rate 74 of 167 submissions, 44%

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Cited By

Dai MJurczyk JArbabi HMao RWard WMayfield MLiu GTingley D(2024)Component-Level Residential Building Material Stock Characterization Using Computer Vision TechniquesEnvironmental Science & Technology10.1021/acs.est.3c09207Online publication date: 9-Feb-2024
https://doi.org/10.1021/acs.est.3c09207
Pawar VMande SRizvi I(2023)Airborne UAV Remote Sensor Position Accuracy Algorithm in Catastrophes ZonesJournal of Aerospace Sciences and Technologies10.61653/joast.v72i4.2020.216(245-261)Online publication date: 31-Jul-2023
https://doi.org/10.61653/joast.v72i4.2020.216
Pawar VMande SRizvi I(2023)Ballistics Algorithm for Airborne Remote Sensor Position in Catastrophe ZonesProceedings of UASG 2021: Wings 4 Sustainability10.1007/978-3-031-19309-5_30(435-455)Online publication date: 16-Mar-2023
https://doi.org/10.1007/978-3-031-19309-5_30
Dai MWard WArbabi HDensley Tingley DMayfield M(2022)Scalable Residential Building Geometry Characterisation Using Vehicle-Mounted Camera SystemEnergies10.3390/en1516609015:16(6090)Online publication date: 22-Aug-2022
https://doi.org/10.3390/en15166090
Arbabi HLanau MLi XMeyers GDai MMayfield MDensley Tingley D(2021)A scalable data collection, characterization, and accounting framework for urban material stocksJournal of Industrial Ecology10.1111/jiec.1319826:1(58-71)Online publication date: 25-Sep-2021
https://doi.org/10.1111/jiec.13198

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