Fast Dense Depth Estimation from UAV-borne Aerial Imagery for the Assistance of Emergency Forces /

Fast Dense Depth Estimation from UAV-borne Aerial Imagery for the Assistance of Emergency Forces / / Boitumelo Ruf.

Show other versions (1)

This work addresses the use of commercial off-the-shelf rotor-based unmanned aerial vehicles (UAVs) to facilitate emergency forces in the rapid structural assessment of a disaster site by means of aerial image-based reconnaissance. It proposes a framework that consists of two parts and relies on the...

Full description

Saved in:
Bibliographic Details
VerfasserIn:
Ruf, Boitumelo,
Place / Publishing House:Baden : : KIT Scientific Publishing,, 2023.
Year of Publication:2023
Language:English
Physical Description:1 online resource (xxii, 204 pages)
Tags: Add Tag
No Tags, Be the first to tag this record!
id 993661676404498
ctrlnum (CKB)5840000000222275
(NjHacI)995840000000222275
(EXLCZ)995840000000222275
collection bib_alma
record_format marc
spelling Ruf, Boitumelo, author.
Fast Dense Depth Estimation from UAV-borne Aerial Imagery for the Assistance of Emergency Forces / Boitumelo Ruf.
Baden : KIT Scientific Publishing, 2023.
1 online resource (xxii, 204 pages)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Description based on online resource; title from PDF title page (KIT Scientific Publishing, viewed March 29, 2023).
This work addresses the use of commercial off-the-shelf rotor-based unmanned aerial vehicles (UAVs) to facilitate emergency forces in the rapid structural assessment of a disaster site by means of aerial image-based reconnaissance. It proposes a framework that consists of two parts and relies on the integrated stereo vision sensor and the visual payload camera of the UAV to execute three high-level applications that aim at facilitating first responders in disaster relief missions.
Aerial reconnaissance.
1000149436
language English
format eBook
author Ruf, Boitumelo,
spellingShingle Ruf, Boitumelo,
Fast Dense Depth Estimation from UAV-borne Aerial Imagery for the Assistance of Emergency Forces /
author_facet Ruf, Boitumelo,
author_variant b r br
author_role VerfasserIn
author_sort Ruf, Boitumelo,
title Fast Dense Depth Estimation from UAV-borne Aerial Imagery for the Assistance of Emergency Forces /
title_full Fast Dense Depth Estimation from UAV-borne Aerial Imagery for the Assistance of Emergency Forces / Boitumelo Ruf.
title_fullStr Fast Dense Depth Estimation from UAV-borne Aerial Imagery for the Assistance of Emergency Forces / Boitumelo Ruf.
title_full_unstemmed Fast Dense Depth Estimation from UAV-borne Aerial Imagery for the Assistance of Emergency Forces / Boitumelo Ruf.
title_auth Fast Dense Depth Estimation from UAV-borne Aerial Imagery for the Assistance of Emergency Forces /
title_new Fast Dense Depth Estimation from UAV-borne Aerial Imagery for the Assistance of Emergency Forces /
title_sort fast dense depth estimation from uav-borne aerial imagery for the assistance of emergency forces /
publisher KIT Scientific Publishing,
publishDate 2023
physical 1 online resource (xxii, 204 pages)
isbn 1000149436
callnumber-first U - Military Science
callnumber-subject UG - Military Engineering and Air Forces
callnumber-label UG760
callnumber-sort UG 3760 R84 42023
illustrated Not Illustrated
dewey-hundreds 300 - Social sciences
dewey-tens 350 - Public administration & military science
dewey-ones 358 - Air & other specialized forces
dewey-full 358.45
dewey-sort 3358.45
dewey-raw 358.45
dewey-search 358.45
work_keys_str_mv AT rufboitumelo fastdensedepthestimationfromuavborneaerialimageryfortheassistanceofemergencyforces
status_str n
ids_txt_mv (CKB)5840000000222275
(NjHacI)995840000000222275
(EXLCZ)995840000000222275
carrierType_str_mv cr
is_hierarchy_title Fast Dense Depth Estimation from UAV-borne Aerial Imagery for the Assistance of Emergency Forces /
_version_ 1797653680512565248
fullrecord <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01462nam a2200277 i 4500</leader><controlfield tag="001">993661676404498</controlfield><controlfield tag="005">20230329154537.0</controlfield><controlfield tag="006">m o d </controlfield><controlfield tag="007">cr |||||||||||</controlfield><controlfield tag="008">230329s2023 gw o 000 0 eng d</controlfield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(CKB)5840000000222275</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(NjHacI)995840000000222275</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(EXLCZ)995840000000222275</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">NjHacI</subfield><subfield code="b">eng</subfield><subfield code="e">rda</subfield><subfield code="c">NjHacl</subfield></datafield><datafield tag="050" ind1=" " ind2="4"><subfield code="a">UG760</subfield><subfield code="b">.R84 2023</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">358.45</subfield><subfield code="2">23</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Ruf, Boitumelo,</subfield><subfield code="e">author.</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Fast Dense Depth Estimation from UAV-borne Aerial Imagery for the Assistance of Emergency Forces /</subfield><subfield code="c">Boitumelo Ruf.</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Baden :</subfield><subfield code="b">KIT Scientific Publishing,</subfield><subfield code="c">2023.</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (xxii, 204 pages)</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="588" ind1=" " ind2=" "><subfield code="a">Description based on online resource; title from PDF title page (KIT Scientific Publishing, viewed March 29, 2023).</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">This work addresses the use of commercial off-the-shelf rotor-based unmanned aerial vehicles (UAVs) to facilitate emergency forces in the rapid structural assessment of a disaster site by means of aerial image-based reconnaissance. It proposes a framework that consists of two parts and relies on the integrated stereo vision sensor and the visual payload camera of the UAV to execute three high-level applications that aim at facilitating first responders in disaster relief missions.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Aerial reconnaissance.</subfield></datafield><datafield tag="776" ind1=" " ind2=" "><subfield code="z">1000149436</subfield></datafield><datafield tag="906" ind1=" " ind2=" "><subfield code="a">BOOK</subfield></datafield><datafield tag="ADM" ind1=" " ind2=" "><subfield code="b">2024-04-24 04:17:22 Europe/Vienna</subfield><subfield code="f">System</subfield><subfield code="c">marc21</subfield><subfield code="a">2023-01-26 07:53:35 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=5354332950004498&amp;Force_direct=true</subfield><subfield code="Z">5354332950004498</subfield><subfield code="b">Available</subfield><subfield code="8">5354332950004498</subfield></datafield></record></collection>

Similar Items