Fast Dense Depth Estimation from UAV-borne Aerial Imagery for the Assistance of Emergency Forces / / Boitumelo Ruf.
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...
Saved in:
VerfasserIn: | |
---|---|
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 |
993581029404498 |
---|---|
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_ |
1787553148886319105 |
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">993581029404498</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">2023-04-15 12:18:23 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&portfolio_pid=5343007970004498&Force_direct=true</subfield><subfield code="Z">5343007970004498</subfield><subfield code="b">Available</subfield><subfield code="8">5343007970004498</subfield></datafield></record></collection> |