Probabilistic Motion Planning for Automated Vehicles

Probabilistic Motion Planning for Automated Vehicles

In motion planning for automated vehicles, a thorough uncertainty consideration is crucial to facilitate safe and convenient driving behavior. This work presents three motion planning approaches which are targeted towards the predominant uncertainties in different scenarios, along with an extended s...

Full description

Saved in:
Bibliographic Details
Superior document:Schriftenreihe / Institut für Mess- und Regelungstechnik, Karlsruher Institut für Technologie
:
Naumann, Maximilian
Year of Publication:2021
Language:English
Series:Schriftenreihe / Institut für Mess- und Regelungstechnik, Karlsruher Institut für Technologie
Physical Description:1 electronic resource (194 p.)
Tags: Add Tag
No Tags, Be the first to tag this record!
id 993544588604498
ctrlnum (CKB)5470000000567011
(oapen)https://directory.doabooks.org/handle/20.500.12854/70107
(EXLCZ)995470000000567011
collection bib_alma
record_format marc
spelling Naumann, Maximilian auth
Probabilistic Motion Planning for Automated Vehicles
Karlsruhe KIT Scientific Publishing 2021
1 electronic resource (194 p.)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Schriftenreihe / Institut für Mess- und Regelungstechnik, Karlsruher Institut für Technologie
In motion planning for automated vehicles, a thorough uncertainty consideration is crucial to facilitate safe and convenient driving behavior. This work presents three motion planning approaches which are targeted towards the predominant uncertainties in different scenarios, along with an extended safety verification framework. The approaches consider uncertainties from imperfect perception, occlusions and limited sensor range, and also those in the behavior of other traffic participants.
English
Mechanical engineering & materials bicssc
Bewegungsplanung
Planung unter Unsicherheiten
Entscheidungsfindung
Automatisiertes Fahren
POMDP
Motion Planning
Planning under Uncertainty
Decision-Making
Automated Vehicles
3-7315-1070-7
language English
format eBook
author Naumann, Maximilian
spellingShingle Naumann, Maximilian
Probabilistic Motion Planning for Automated Vehicles
Schriftenreihe / Institut für Mess- und Regelungstechnik, Karlsruher Institut für Technologie
author_facet Naumann, Maximilian
author_variant m n mn
author_sort Naumann, Maximilian
title Probabilistic Motion Planning for Automated Vehicles
title_full Probabilistic Motion Planning for Automated Vehicles
title_fullStr Probabilistic Motion Planning for Automated Vehicles
title_full_unstemmed Probabilistic Motion Planning for Automated Vehicles
title_auth Probabilistic Motion Planning for Automated Vehicles
title_new Probabilistic Motion Planning for Automated Vehicles
title_sort probabilistic motion planning for automated vehicles
series Schriftenreihe / Institut für Mess- und Regelungstechnik, Karlsruher Institut für Technologie
series2 Schriftenreihe / Institut für Mess- und Regelungstechnik, Karlsruher Institut für Technologie
publisher KIT Scientific Publishing
publishDate 2021
physical 1 electronic resource (194 p.)
isbn 1000126389
3-7315-1070-7
illustrated Not Illustrated
work_keys_str_mv AT naumannmaximilian probabilisticmotionplanningforautomatedvehicles
status_str n
ids_txt_mv (CKB)5470000000567011
(oapen)https://directory.doabooks.org/handle/20.500.12854/70107
(EXLCZ)995470000000567011
carrierType_str_mv cr
hierarchy_parent_title Schriftenreihe / Institut für Mess- und Regelungstechnik, Karlsruher Institut für Technologie
is_hierarchy_title Probabilistic Motion Planning for Automated Vehicles
container_title Schriftenreihe / Institut für Mess- und Regelungstechnik, Karlsruher Institut für Technologie
_version_ 1796651476866564096
fullrecord <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01789nam-a2200397z--4500</leader><controlfield tag="001">993544588604498</controlfield><controlfield tag="005">20231214132828.0</controlfield><controlfield tag="006">m o d </controlfield><controlfield tag="007">cr|mn|---annan</controlfield><controlfield tag="008">202105s2021 xx |||||o ||| 0|eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1000126389</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(CKB)5470000000567011</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(oapen)https://directory.doabooks.org/handle/20.500.12854/70107</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(EXLCZ)995470000000567011</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Naumann, Maximilian</subfield><subfield code="4">auth</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Probabilistic Motion Planning for Automated Vehicles</subfield></datafield><datafield tag="260" ind1=" " ind2=" "><subfield code="a">Karlsruhe</subfield><subfield code="b">KIT Scientific Publishing</subfield><subfield code="c">2021</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 electronic resource (194 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="490" ind1="1" ind2=" "><subfield code="a">Schriftenreihe / Institut für Mess- und Regelungstechnik, Karlsruher Institut für Technologie</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">In motion planning for automated vehicles, a thorough uncertainty consideration is crucial to facilitate safe and convenient driving behavior. This work presents three motion planning approaches which are targeted towards the predominant uncertainties in different scenarios, along with an extended safety verification framework. The approaches consider uncertainties from imperfect perception, occlusions and limited sensor range, and also those in the behavior of other traffic participants.</subfield></datafield><datafield tag="546" ind1=" " ind2=" "><subfield code="a">English</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Mechanical engineering &amp; materials</subfield><subfield code="2">bicssc</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Bewegungsplanung</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Planung unter Unsicherheiten</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Entscheidungsfindung</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Automatisiertes Fahren</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">POMDP</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Motion Planning</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Planning under Uncertainty</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Decision-Making</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Automated Vehicles</subfield></datafield><datafield tag="776" ind1=" " ind2=" "><subfield code="z">3-7315-1070-7</subfield></datafield><datafield tag="906" ind1=" " ind2=" "><subfield code="a">BOOK</subfield></datafield><datafield tag="ADM" ind1=" " ind2=" "><subfield code="b">2023-12-15 05:32:29 Europe/Vienna</subfield><subfield code="f">system</subfield><subfield code="c">marc21</subfield><subfield code="a">2021-06-12 22:12:12 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=5337649140004498&amp;Force_direct=true</subfield><subfield code="Z">5337649140004498</subfield><subfield code="b">Available</subfield><subfield code="8">5337649140004498</subfield></datafield></record></collection>

Similar Items