Mobile Mapping Technologies

Mobile Mapping technologies have seen a rapid growth of research activity and interest in the last years, due to the increased demand of accurate, dense and geo-referenced 3D data. Their main characteristic is the ability of acquiring 3D information of large areas dynamically. This versatility has e...

Full description

Saved in:
Bibliographic Details
:
Year of Publication:2019
Language:English
Physical Description:1 electronic resource (334 p.)
Tags: Add Tag
No Tags, Be the first to tag this record!
id 993544198004498
ctrlnum (CKB)4100000010106348
(oapen)https://directory.doabooks.org/handle/20.500.12854/53632
(EXLCZ)994100000010106348
collection bib_alma
record_format marc
spelling Chiang, Kai-Wei auth
Mobile Mapping Technologies
MDPI - Multidisciplinary Digital Publishing Institute 2019
1 electronic resource (334 p.)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Mobile Mapping technologies have seen a rapid growth of research activity and interest in the last years, due to the increased demand of accurate, dense and geo-referenced 3D data. Their main characteristic is the ability of acquiring 3D information of large areas dynamically. This versatility has expanded their application fields from the civil engineering to a broader range (industry, emergency response, cultural heritage...), which is constantly widening. This increased number of needs, some of them specially challenging, is pushing the Scientific Community, as well as companies, towards the development of innovative solutions, ranging from new hardware / open source software approaches and integration with other devices, up to the adoption of artificial intelligence methods for the automatic extraction of salient features and quality assessment for performance verification The aim of the present book is to cover the most relevant topics and trends in Mobile Mapping Technology, and also to introduce the new tendencies of this new paradigm of geospatial science.
English
LRF
smartphone
unmanned vehicle
sensor fusion
2D laser scanner
semantic enrichment
Vitis vinifera
indoor scenes
terrestrial laser scanning
vine size
quadric fitting
multi-group-step L-M optimization
grammar
MLS
indoor topological localization
trajectory fusion
second order hidden Markov model
room type tagging
fingerprinting
restoration
laser scanning
map management
Lidar localization system
point clouds
binary vocabulary
self-calibration
3D processing
cultural heritage
encoder
category matching
indoor mapping
convolutional neural network (CNN)
tunnel cross section
visual positioning
enhanced RANSAC
segmentation-based feature extraction
image retrieval
handheld
crowdsourcing trajectory
visual landmark sequence
indoor localization
mobile mapping
rapid relocation
sensors configurations
precision agriculture
3D digitalization
mobile laser scanning
robust statistical analysis
plant vigor
motion estimation
visual simultaneous localization and mapping
dynamic environment
Bayesian inference
automated database construction
portable mobile mapping system
SLAM
small-scale vocabulary
ORB-SLAM2
LiDAR
IMMS
point cloud
optical sensors
tunnel central axis
constrained nonlinear least-squares problem
3D point clouds
wearable mobile laser system
geometric features
2D laser range-finder
RGB-D camera
OctoMap
3-03928-018-X
Rodríguez-Gonzálvez, Pablo auth
Toschi, Isabella auth
Nocerino, Erica auth
language English
format eBook
author Chiang, Kai-Wei
spellingShingle Chiang, Kai-Wei
Mobile Mapping Technologies
author_facet Chiang, Kai-Wei
Rodríguez-Gonzálvez, Pablo
Toschi, Isabella
Nocerino, Erica
author_variant k w c kwc
author2 Rodríguez-Gonzálvez, Pablo
Toschi, Isabella
Nocerino, Erica
author2_variant p r g prg
i t it
e n en
author_sort Chiang, Kai-Wei
title Mobile Mapping Technologies
title_full Mobile Mapping Technologies
title_fullStr Mobile Mapping Technologies
title_full_unstemmed Mobile Mapping Technologies
title_auth Mobile Mapping Technologies
title_new Mobile Mapping Technologies
title_sort mobile mapping technologies
publisher MDPI - Multidisciplinary Digital Publishing Institute
publishDate 2019
physical 1 electronic resource (334 p.)
isbn 3-03928-019-8
3-03928-018-X
illustrated Not Illustrated
work_keys_str_mv AT chiangkaiwei mobilemappingtechnologies
AT rodriguezgonzalvezpablo mobilemappingtechnologies
AT toschiisabella mobilemappingtechnologies
AT nocerinoerica mobilemappingtechnologies
status_str n
ids_txt_mv (CKB)4100000010106348
(oapen)https://directory.doabooks.org/handle/20.500.12854/53632
(EXLCZ)994100000010106348
carrierType_str_mv cr
is_hierarchy_title Mobile Mapping Technologies
author2_original_writing_str_mv noLinkedField
noLinkedField
noLinkedField
_version_ 1787548734737874945
fullrecord <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>04424nam-a2201141z--4500</leader><controlfield tag="001">993544198004498</controlfield><controlfield tag="005">20231214133233.0</controlfield><controlfield tag="006">m o d </controlfield><controlfield tag="007">cr|mn|---annan</controlfield><controlfield tag="008">202102s2019 xx |||||o ||| 0|eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">3-03928-019-8</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(CKB)4100000010106348</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(oapen)https://directory.doabooks.org/handle/20.500.12854/53632</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(EXLCZ)994100000010106348</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Chiang, Kai-Wei</subfield><subfield code="4">auth</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Mobile Mapping Technologies</subfield></datafield><datafield tag="260" ind1=" " ind2=" "><subfield code="b">MDPI - Multidisciplinary Digital Publishing Institute</subfield><subfield code="c">2019</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 electronic resource (334 p.)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">computer</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">online resource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Mobile Mapping technologies have seen a rapid growth of research activity and interest in the last years, due to the increased demand of accurate, dense and geo-referenced 3D data. Their main characteristic is the ability of acquiring 3D information of large areas dynamically. This versatility has expanded their application fields from the civil engineering to a broader range (industry, emergency response, cultural heritage...), which is constantly widening. This increased number of needs, some of them specially challenging, is pushing the Scientific Community, as well as companies, towards the development of innovative solutions, ranging from new hardware / open source software approaches and integration with other devices, up to the adoption of artificial intelligence methods for the automatic extraction of salient features and quality assessment for performance verification The aim of the present book is to cover the most relevant topics and trends in Mobile Mapping Technology, and also to introduce the new tendencies of this new paradigm of geospatial science.</subfield></datafield><datafield tag="546" ind1=" " ind2=" "><subfield code="a">English</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">LRF</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">smartphone</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">unmanned vehicle</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">sensor fusion</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">2D laser scanner</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">semantic enrichment</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Vitis vinifera</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">indoor scenes</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">terrestrial laser scanning</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">vine size</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">quadric fitting</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">multi-group-step L-M optimization</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">grammar</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">MLS</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">indoor topological localization</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">trajectory fusion</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">second order hidden Markov model</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">room type tagging</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">fingerprinting</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">restoration</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">laser scanning</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">map management</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Lidar localization system</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">point clouds</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">binary vocabulary</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">self-calibration</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">3D processing</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">cultural heritage</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">encoder</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">category matching</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">indoor mapping</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">convolutional neural network (CNN)</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">tunnel cross section</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">visual positioning</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">enhanced RANSAC</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">segmentation-based feature extraction</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">image retrieval</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">handheld</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">crowdsourcing trajectory</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">visual landmark sequence</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">indoor localization</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">mobile mapping</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">rapid relocation</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">sensors configurations</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">precision agriculture</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">3D digitalization</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">mobile laser scanning</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">robust statistical analysis</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">plant vigor</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">motion estimation</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">visual simultaneous localization and mapping</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">dynamic environment</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Bayesian inference</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">automated database construction</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">portable mobile mapping system</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">SLAM</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">small-scale vocabulary</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">ORB-SLAM2</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">LiDAR</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">IMMS</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">point cloud</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">optical sensors</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">tunnel central axis</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">constrained nonlinear least-squares problem</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">3D point clouds</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">wearable mobile laser system</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">geometric features</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">2D laser range-finder</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">RGB-D camera</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">OctoMap</subfield></datafield><datafield tag="776" ind1=" " ind2=" "><subfield code="z">3-03928-018-X</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Rodríguez-Gonzálvez, Pablo</subfield><subfield code="4">auth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Toschi, Isabella</subfield><subfield code="4">auth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Nocerino, Erica</subfield><subfield code="4">auth</subfield></datafield><datafield tag="906" ind1=" " ind2=" "><subfield code="a">BOOK</subfield></datafield><datafield tag="ADM" ind1=" " ind2=" "><subfield code="b">2023-12-15 05:47:24 Europe/Vienna</subfield><subfield code="f">system</subfield><subfield code="c">marc21</subfield><subfield code="a">2020-02-01 22:26:53 Europe/Vienna</subfield><subfield code="g">false</subfield></datafield><datafield tag="AVE" ind1=" " ind2=" "><subfield code="i">DOAB Directory of Open Access Books</subfield><subfield code="P">DOAB Directory of Open Access Books</subfield><subfield code="x">https://eu02.alma.exlibrisgroup.com/view/uresolver/43ACC_OEAW/openurl?u.ignore_date_coverage=true&amp;portfolio_pid=5337532050004498&amp;Force_direct=true</subfield><subfield code="Z">5337532050004498</subfield><subfield code="b">Available</subfield><subfield code="8">5337532050004498</subfield></datafield></record></collection>