Automation of point cloud processing to increase the deformation monitoring accuracy View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2017-06

AUTHORS

Ján Erdélyi, Alojz Kopáčik, Imrich Lipták, Peter Kyrinovič

ABSTRACT

The weather conditions and the loading during operation cause changes in the shape of engineering structures that affect static and dynamic function and reliability of these structures. Due to this fact, geodetic monitoring is an integral part of engineering structure diagnostics and gives important information about the current state (condition) of the structure. Terrestrial laser scanning (TLS) is often used for data acquisition in cases, requiring 3D information with high resolution. Therefore, TLS is used in different surveying applications, even in deformation monitoring of buildings or engineering structures. TLS allows non-contact documentation of the behaviour of the monitored structure. The accuracy of determination of the 3D coordinates of single measured points by currently commercially available laser scanners is several millimetres. The precision can be increased using suitable data processing, when valid assumptions about the scanned surface are available. The paper presents the possibility of deformation monitoring using TLS. To increase the precision of the results, the chosen parts of the monitored structure are approximated by fitting planes to point cloud. In this case, the position of the monitored point (part of structure) is calculated from tens or hundreds of scanned points instead of a single measurement. An application based on software MATLAB®, Displacement_TLS, was developed for automated data processing. It takes only several minutes, as the calculation is executed automatically for all monitored points at once. The proposed method represents fast and simple data processing. Benefits of the proposed method are demonstrated by experimental measurements of different structures and building elements. More... »

PAGES

105-113

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s12518-017-0186-y

DOI

http://dx.doi.org/10.1007/s12518-017-0186-y

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1084925185


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0909", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Geomatic Engineering", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/09", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Engineering", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Slovak University of Technology in Bratislava", 
          "id": "https://www.grid.ac/institutes/grid.440789.6", 
          "name": [
            "Department of Surveying, Faculty of Civil Engineering, Slovak University of Technology in Bratislava, Radlinsk\u00e9ho 11, 810 05, Bratislava, Slovakia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Erd\u00e9lyi", 
        "givenName": "J\u00e1n", 
        "id": "sg:person.0747414005.39", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0747414005.39"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Slovak University of Technology in Bratislava", 
          "id": "https://www.grid.ac/institutes/grid.440789.6", 
          "name": [
            "Department of Surveying, Faculty of Civil Engineering, Slovak University of Technology in Bratislava, Radlinsk\u00e9ho 11, 810 05, Bratislava, Slovakia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kop\u00e1\u010dik", 
        "givenName": "Alojz", 
        "id": "sg:person.01324411471.05", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01324411471.05"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Slovak University of Technology in Bratislava", 
          "id": "https://www.grid.ac/institutes/grid.440789.6", 
          "name": [
            "Department of Surveying, Faculty of Civil Engineering, Slovak University of Technology in Bratislava, Radlinsk\u00e9ho 11, 810 05, Bratislava, Slovakia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lipt\u00e1k", 
        "givenName": "Imrich", 
        "id": "sg:person.013656176373.64", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013656176373.64"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Slovak University of Technology in Bratislava", 
          "id": "https://www.grid.ac/institutes/grid.440789.6", 
          "name": [
            "Department of Surveying, Faculty of Civil Engineering, Slovak University of Technology in Bratislava, Radlinsk\u00e9ho 11, 810 05, Bratislava, Slovakia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kyrinovi\u010d", 
        "givenName": "Peter", 
        "id": "sg:person.01025621271.98", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01025621271.98"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/978-3-540-38596-7_12", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013005194", 
          "https://doi.org/10.1007/978-3-540-38596-7_12"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1515/jag-2012-0013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017302562"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1515/jag-2015-0025", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024415064"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12518-015-0156-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034319501", 
          "https://doi.org/10.1007/s12518-015-0156-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-540-33236-7_14", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034346995", 
          "https://doi.org/10.1007/978-3-540-33236-7_14"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-540-33236-7_14", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034346995", 
          "https://doi.org/10.1007/978-3-540-33236-7_14"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1515/jag-2014-0018", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035071052"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2017-06", 
    "datePublishedReg": "2017-06-01", 
    "description": "The weather conditions and the loading during operation cause changes in the shape of engineering structures that affect static and dynamic function and reliability of these structures. Due to this fact, geodetic monitoring is an integral part of engineering structure diagnostics and gives important information about the current state (condition) of the structure. Terrestrial laser scanning (TLS) is often used for data acquisition in cases, requiring 3D information with high resolution. Therefore, TLS is used in different surveying applications, even in deformation monitoring of buildings or engineering structures. TLS allows non-contact documentation of the behaviour of the monitored structure. The accuracy of determination of the 3D coordinates of single measured points by currently commercially available laser scanners is several millimetres. The precision can be increased using suitable data processing, when valid assumptions about the scanned surface are available. The paper presents the possibility of deformation monitoring using TLS. To increase the precision of the results, the chosen parts of the monitored structure are approximated by fitting planes to point cloud. In this case, the position of the monitored point (part of structure) is calculated from tens or hundreds of scanned points instead of a single measurement. An application based on software MATLAB\u00ae, Displacement_TLS, was developed for automated data processing. It takes only several minutes, as the calculation is executed automatically for all monitored points at once. The proposed method represents fast and simple data processing. Benefits of the proposed method are demonstrated by experimental measurements of different structures and building elements.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s12518-017-0186-y", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.4364264", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1136638", 
        "issn": [
          "1866-928X", 
          "1866-9298"
        ], 
        "name": "Applied Geomatics", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "9"
      }
    ], 
    "name": "Automation of point cloud processing to increase the deformation monitoring accuracy", 
    "pagination": "105-113", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "24482d6f4ab4cdfbff9f9b35a894e4926cab87d2f7efdc6a310a4f9a69d2b512"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s12518-017-0186-y"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1084925185"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s12518-017-0186-y", 
      "https://app.dimensions.ai/details/publication/pub.1084925185"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T09:50", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000347_0000000347/records_89786_00000003.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs12518-017-0186-y"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s12518-017-0186-y'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s12518-017-0186-y'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s12518-017-0186-y'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s12518-017-0186-y'


 

This table displays all metadata directly associated to this object as RDF triples.

105 TRIPLES      21 PREDICATES      33 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s12518-017-0186-y schema:about anzsrc-for:09
2 anzsrc-for:0909
3 schema:author Nf385f7f2aa134352a461b4df01a81f73
4 schema:citation sg:pub.10.1007/978-3-540-33236-7_14
5 sg:pub.10.1007/978-3-540-38596-7_12
6 sg:pub.10.1007/s12518-015-0156-1
7 https://doi.org/10.1515/jag-2012-0013
8 https://doi.org/10.1515/jag-2014-0018
9 https://doi.org/10.1515/jag-2015-0025
10 schema:datePublished 2017-06
11 schema:datePublishedReg 2017-06-01
12 schema:description The weather conditions and the loading during operation cause changes in the shape of engineering structures that affect static and dynamic function and reliability of these structures. Due to this fact, geodetic monitoring is an integral part of engineering structure diagnostics and gives important information about the current state (condition) of the structure. Terrestrial laser scanning (TLS) is often used for data acquisition in cases, requiring 3D information with high resolution. Therefore, TLS is used in different surveying applications, even in deformation monitoring of buildings or engineering structures. TLS allows non-contact documentation of the behaviour of the monitored structure. The accuracy of determination of the 3D coordinates of single measured points by currently commercially available laser scanners is several millimetres. The precision can be increased using suitable data processing, when valid assumptions about the scanned surface are available. The paper presents the possibility of deformation monitoring using TLS. To increase the precision of the results, the chosen parts of the monitored structure are approximated by fitting planes to point cloud. In this case, the position of the monitored point (part of structure) is calculated from tens or hundreds of scanned points instead of a single measurement. An application based on software MATLAB®, Displacement_TLS, was developed for automated data processing. It takes only several minutes, as the calculation is executed automatically for all monitored points at once. The proposed method represents fast and simple data processing. Benefits of the proposed method are demonstrated by experimental measurements of different structures and building elements.
13 schema:genre research_article
14 schema:inLanguage en
15 schema:isAccessibleForFree false
16 schema:isPartOf Nd7f2b551acc9457dbe0dc7ebd8b96818
17 Nf3d43e0b9de4441aa56be866208b394a
18 sg:journal.1136638
19 schema:name Automation of point cloud processing to increase the deformation monitoring accuracy
20 schema:pagination 105-113
21 schema:productId N3425406a11224cf6b2d88789a0f7a548
22 N85a596a70a7745a4892209ffff689b8c
23 N866aa907115d44e293e04b2008593ab8
24 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084925185
25 https://doi.org/10.1007/s12518-017-0186-y
26 schema:sdDatePublished 2019-04-11T09:50
27 schema:sdLicense https://scigraph.springernature.com/explorer/license/
28 schema:sdPublisher N6bec920ab00f40e5a1220c92626651b0
29 schema:url https://link.springer.com/10.1007%2Fs12518-017-0186-y
30 sgo:license sg:explorer/license/
31 sgo:sdDataset articles
32 rdf:type schema:ScholarlyArticle
33 N3425406a11224cf6b2d88789a0f7a548 schema:name doi
34 schema:value 10.1007/s12518-017-0186-y
35 rdf:type schema:PropertyValue
36 N447db62eb3a043f7979d59decf9064ae rdf:first sg:person.013656176373.64
37 rdf:rest N91e720b4ba8b4d8bb293a7955b3fcd70
38 N51e2e38020dc485eac45d7e9d038e11c rdf:first sg:person.01324411471.05
39 rdf:rest N447db62eb3a043f7979d59decf9064ae
40 N6bec920ab00f40e5a1220c92626651b0 schema:name Springer Nature - SN SciGraph project
41 rdf:type schema:Organization
42 N85a596a70a7745a4892209ffff689b8c schema:name dimensions_id
43 schema:value pub.1084925185
44 rdf:type schema:PropertyValue
45 N866aa907115d44e293e04b2008593ab8 schema:name readcube_id
46 schema:value 24482d6f4ab4cdfbff9f9b35a894e4926cab87d2f7efdc6a310a4f9a69d2b512
47 rdf:type schema:PropertyValue
48 N91e720b4ba8b4d8bb293a7955b3fcd70 rdf:first sg:person.01025621271.98
49 rdf:rest rdf:nil
50 Nd7f2b551acc9457dbe0dc7ebd8b96818 schema:issueNumber 2
51 rdf:type schema:PublicationIssue
52 Nf385f7f2aa134352a461b4df01a81f73 rdf:first sg:person.0747414005.39
53 rdf:rest N51e2e38020dc485eac45d7e9d038e11c
54 Nf3d43e0b9de4441aa56be866208b394a schema:volumeNumber 9
55 rdf:type schema:PublicationVolume
56 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
57 schema:name Engineering
58 rdf:type schema:DefinedTerm
59 anzsrc-for:0909 schema:inDefinedTermSet anzsrc-for:
60 schema:name Geomatic Engineering
61 rdf:type schema:DefinedTerm
62 sg:grant.4364264 http://pending.schema.org/fundedItem sg:pub.10.1007/s12518-017-0186-y
63 rdf:type schema:MonetaryGrant
64 sg:journal.1136638 schema:issn 1866-928X
65 1866-9298
66 schema:name Applied Geomatics
67 rdf:type schema:Periodical
68 sg:person.01025621271.98 schema:affiliation https://www.grid.ac/institutes/grid.440789.6
69 schema:familyName Kyrinovič
70 schema:givenName Peter
71 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01025621271.98
72 rdf:type schema:Person
73 sg:person.01324411471.05 schema:affiliation https://www.grid.ac/institutes/grid.440789.6
74 schema:familyName Kopáčik
75 schema:givenName Alojz
76 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01324411471.05
77 rdf:type schema:Person
78 sg:person.013656176373.64 schema:affiliation https://www.grid.ac/institutes/grid.440789.6
79 schema:familyName Lipták
80 schema:givenName Imrich
81 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013656176373.64
82 rdf:type schema:Person
83 sg:person.0747414005.39 schema:affiliation https://www.grid.ac/institutes/grid.440789.6
84 schema:familyName Erdélyi
85 schema:givenName Ján
86 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0747414005.39
87 rdf:type schema:Person
88 sg:pub.10.1007/978-3-540-33236-7_14 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034346995
89 https://doi.org/10.1007/978-3-540-33236-7_14
90 rdf:type schema:CreativeWork
91 sg:pub.10.1007/978-3-540-38596-7_12 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013005194
92 https://doi.org/10.1007/978-3-540-38596-7_12
93 rdf:type schema:CreativeWork
94 sg:pub.10.1007/s12518-015-0156-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034319501
95 https://doi.org/10.1007/s12518-015-0156-1
96 rdf:type schema:CreativeWork
97 https://doi.org/10.1515/jag-2012-0013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017302562
98 rdf:type schema:CreativeWork
99 https://doi.org/10.1515/jag-2014-0018 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035071052
100 rdf:type schema:CreativeWork
101 https://doi.org/10.1515/jag-2015-0025 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024415064
102 rdf:type schema:CreativeWork
103 https://www.grid.ac/institutes/grid.440789.6 schema:alternateName Slovak University of Technology in Bratislava
104 schema:name Department of Surveying, Faculty of Civil Engineering, Slovak University of Technology in Bratislava, Radlinského 11, 810 05, Bratislava, Slovakia
105 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...