Classification of detection states in construction progress monitoring

A. Braun; A. Borrmann; S. Tuttas; U. Stilla

Classification of detection states in construction progress monitoring

A. Braun, A. Borrmann, S. Tuttas, U. Stilla

Technical University of Munich

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

The research conducted in this publication focusses on automated progress monitoring. The recording of the current as-built state of a construction site is achieved by photogrammetric methods (e.g. UAVs) and compared to an as-planned (4D) BIM model. To visualize the detected elements and evaluate their respective detection rate, a schema for the classification of each individual element is presented. It compares the as-built ground truth with the actually detected elements and thus facilitates a quick and easy interpretation of the current construction state. Temporal data from construction schedules is added to further complete the provided information through visualization. Additionally, the classification helps to identify possible lacks of detection algorithms. New parameters for detection algorithms can be applied and the results are immediately visible with an easily understandable color scheme.

Original language	English
Title of host publication	eWork and eBusiness in Architecture, Engineering and Construction - Proceedings of the 11th European Conference on Product and Process Modelling, ECPPM 2016
Editors	Symeon E. Christodoulou, Raimar Scherer
Publisher	CRC Press/Balkema
Pages	473-480
Number of pages	8
ISBN (Print)	9781138032804
State	Published - 2016
Event	11th European Conference on Product and Process Modelling, ECPPM 2016 - Limassol, Cyprus Duration: 7 Sep 2016 → 9 Sep 2016

Publication series

Name	eWork and eBusiness in Architecture, Engineering and Construction - Proceedings of the 11th European Conference on Product and Process Modelling, ECPPM 2016

Conference

Conference	11th European Conference on Product and Process Modelling, ECPPM 2016
Country/Territory	Cyprus
City	Limassol
Period	7/09/16 → 9/09/16

Cite this

Braun, A., Borrmann, A., Tuttas, S., & Stilla, U. (2016). Classification of detection states in construction progress monitoring. In S. E. Christodoulou, & R. Scherer (Eds.), eWork and eBusiness in Architecture, Engineering and Construction - Proceedings of the 11th European Conference on Product and Process Modelling, ECPPM 2016 (pp. 473-480). (eWork and eBusiness in Architecture, Engineering and Construction - Proceedings of the 11th European Conference on Product and Process Modelling, ECPPM 2016). CRC Press/Balkema.

Braun, A. ; Borrmann, A. ; Tuttas, S. et al. / Classification of detection states in construction progress monitoring. eWork and eBusiness in Architecture, Engineering and Construction - Proceedings of the 11th European Conference on Product and Process Modelling, ECPPM 2016. editor / Symeon E. Christodoulou ; Raimar Scherer. CRC Press/Balkema, 2016. pp. 473-480 (eWork and eBusiness in Architecture, Engineering and Construction - Proceedings of the 11th European Conference on Product and Process Modelling, ECPPM 2016).

@inproceedings{f82896f77246446294651b5a802b38b7,

title = "Classification of detection states in construction progress monitoring",

abstract = "The research conducted in this publication focusses on automated progress monitoring. The recording of the current as-built state of a construction site is achieved by photogrammetric methods (e.g. UAVs) and compared to an as-planned (4D) BIM model. To visualize the detected elements and evaluate their respective detection rate, a schema for the classification of each individual element is presented. It compares the as-built ground truth with the actually detected elements and thus facilitates a quick and easy interpretation of the current construction state. Temporal data from construction schedules is added to further complete the provided information through visualization. Additionally, the classification helps to identify possible lacks of detection algorithms. New parameters for detection algorithms can be applied and the results are immediately visible with an easily understandable color scheme.",

author = "A. Braun and A. Borrmann and S. Tuttas and U. Stilla",

note = "Publisher Copyright: {\textcopyright} 2016 Taylor & Francis Group.; 11th European Conference on Product and Process Modelling, ECPPM 2016 ; Conference date: 07-09-2016 Through 09-09-2016",

year = "2016",

language = "English",

isbn = "9781138032804",

series = "eWork and eBusiness in Architecture, Engineering and Construction - Proceedings of the 11th European Conference on Product and Process Modelling, ECPPM 2016",

publisher = "CRC Press/Balkema",

pages = "473--480",

editor = "Christodoulou, {Symeon E.} and Raimar Scherer",

booktitle = "eWork and eBusiness in Architecture, Engineering and Construction - Proceedings of the 11th European Conference on Product and Process Modelling, ECPPM 2016",

}

Braun, A , Borrmann, A, Tuttas, S & Stilla, U 2016, Classification of detection states in construction progress monitoring. in SE Christodoulou & R Scherer (eds), eWork and eBusiness in Architecture, Engineering and Construction - Proceedings of the 11th European Conference on Product and Process Modelling, ECPPM 2016. eWork and eBusiness in Architecture, Engineering and Construction - Proceedings of the 11th European Conference on Product and Process Modelling, ECPPM 2016, CRC Press/Balkema, pp. 473-480, 11th European Conference on Product and Process Modelling, ECPPM 2016, Limassol, Cyprus, 7/09/16.

Classification of detection states in construction progress monitoring. / Braun, A.; Borrmann, A.; Tuttas, S. et al.
eWork and eBusiness in Architecture, Engineering and Construction - Proceedings of the 11th European Conference on Product and Process Modelling, ECPPM 2016. ed. / Symeon E. Christodoulou; Raimar Scherer. CRC Press/Balkema, 2016. p. 473-480 (eWork and eBusiness in Architecture, Engineering and Construction - Proceedings of the 11th European Conference on Product and Process Modelling, ECPPM 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Classification of detection states in construction progress monitoring

AU - Braun, A.

AU - Borrmann, A.

AU - Tuttas, S.

AU - Stilla, U.

PY - 2016

Y1 - 2016

N2 - The research conducted in this publication focusses on automated progress monitoring. The recording of the current as-built state of a construction site is achieved by photogrammetric methods (e.g. UAVs) and compared to an as-planned (4D) BIM model. To visualize the detected elements and evaluate their respective detection rate, a schema for the classification of each individual element is presented. It compares the as-built ground truth with the actually detected elements and thus facilitates a quick and easy interpretation of the current construction state. Temporal data from construction schedules is added to further complete the provided information through visualization. Additionally, the classification helps to identify possible lacks of detection algorithms. New parameters for detection algorithms can be applied and the results are immediately visible with an easily understandable color scheme.

AB - The research conducted in this publication focusses on automated progress monitoring. The recording of the current as-built state of a construction site is achieved by photogrammetric methods (e.g. UAVs) and compared to an as-planned (4D) BIM model. To visualize the detected elements and evaluate their respective detection rate, a schema for the classification of each individual element is presented. It compares the as-built ground truth with the actually detected elements and thus facilitates a quick and easy interpretation of the current construction state. Temporal data from construction schedules is added to further complete the provided information through visualization. Additionally, the classification helps to identify possible lacks of detection algorithms. New parameters for detection algorithms can be applied and the results are immediately visible with an easily understandable color scheme.

UR - http://www.scopus.com/inward/record.url?scp=85016608794&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:85016608794

SN - 9781138032804

T3 - eWork and eBusiness in Architecture, Engineering and Construction - Proceedings of the 11th European Conference on Product and Process Modelling, ECPPM 2016

SP - 473

EP - 480

BT - eWork and eBusiness in Architecture, Engineering and Construction - Proceedings of the 11th European Conference on Product and Process Modelling, ECPPM 2016

A2 - Christodoulou, Symeon E.

A2 - Scherer, Raimar

PB - CRC Press/Balkema

T2 - 11th European Conference on Product and Process Modelling, ECPPM 2016

Y2 - 7 September 2016 through 9 September 2016

ER -

Braun A , Borrmann A, Tuttas S, Stilla U. Classification of detection states in construction progress monitoring. In Christodoulou SE, Scherer R, editors, eWork and eBusiness in Architecture, Engineering and Construction - Proceedings of the 11th European Conference on Product and Process Modelling, ECPPM 2016. CRC Press/Balkema. 2016. p. 473-480. (eWork and eBusiness in Architecture, Engineering and Construction - Proceedings of the 11th European Conference on Product and Process Modelling, ECPPM 2016).

Classification of detection states in construction progress monitoring

Abstract

Publication series

Conference

Other files and links

Fingerprint

Cite this