Autonomous vehicle driving algorithms, deep learning-based
sensing technologies, and big geospatial data analytics in
smart sustainable intelligent transportation systems

J 2021

Autonomous vehicle driving algorithms, deep learning-based sensing technologies, and big geospatial data analytics in smart sustainable intelligent transportation systems

ROWLAND, Zuzana a Kathleen PORTER

Základní údaje

Originální název

Autonomous vehicle driving algorithms, deep learning-based sensing technologies, and big geospatial data analytics in smart sustainable intelligent transportation systems

Autoři

ROWLAND, Zuzana (203 Česká republika, garant, domácí) a Kathleen PORTER

Vydání

Contemporary Readings in Law and Social Justice, New York, USA, Addleton Academic Publishers, 2021, 1948-9137

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

50200 5.2 Economics and Business

Stát vydavatele

Spojené státy

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Kód RIV

RIV/75081431:_____/21:00002226

Organizační jednotka

Vysoká škola technická a ekonomická v Českých Budějovicích

Klíčová slova anglicky

autonomous vehicle; deep learning; driving algorithm; intelligent transportation system; big data; geospatial analytics

Štítky

BSA_MIE, RIV21, SCOPUS

Změněno: 16. 12. 2021 14:43, Mgr. Nikola Petříková

Anotace

V originále

"The authors draw on a substantial body of theoretical and empirical research on autonomous vehicle driving algorithms, deep learning-based sensing technologies, and big geospatial data analytics in smart sustainable intelligent transportation systems, and to explore this, they inspect, use, and replicate survey data from AUVSI, BikePGH, Capgemini, CarGurus, CivicScience, GenPop, Ipsos, KPMG, Management Events, McKinsey, Perkins Coie, Pew Research Center, and Statista."

Přiložené soubory

Autonomous_vehicle_driving_algorithms__deep_learning-based_sensing_technologies__and_big_geospatial_data_analytics_in_smart_sustainable_intelligent_transportation_systems.pdf

Požádat o autorskou verzi souboru

Citovat

ROWLAND, Zuzana a Kathleen PORTER. Autonomous vehicle driving algorithms, deep learning-based sensing technologies, and big geospatial data analytics in smart sustainable intelligent transportation systems. Contemporary Readings in Law and Social Justice. New York, USA: Addleton Academic Publishers, 2021, roč. 13, č. 2, s. 23-36. ISSN 1948-9137.

@article{61581,
   author = {Rowland, Zuzana and Porter, Kathleen},
   article_location = {New York, USA},
   article_number = {2},
   keywords = {autonomous vehicle; deep learning; driving algorithm; intelligent transportation system; big data; geospatial analytics},
   language = {eng},
   issn = {1948-9137},
   journal = {Contemporary Readings in Law and Social Justice},
   title = {Autonomous vehicle driving algorithms, deep learning-based sensing technologies, and big geospatial data analytics in smart sustainable intelligent transportation systems},
   url = {https://www.ceeol.com/search/article-detail?id=996097},
   volume = {13},
   year = {2021}
}

TY  - JOUR
ID  - 61581
AU  - Rowland, Zuzana - Porter, Kathleen
PY  - 2021
TI  - Autonomous vehicle driving algorithms, deep learning-based sensing technologies, and big geospatial data analytics in smart sustainable intelligent transportation systems
JF  - Contemporary Readings in Law and Social Justice
VL  - 13
IS  - 2
SP  - 23-36
EP  - 23-36
PB  - Addleton Academic Publishers
SN  - 19489137
KW  - autonomous vehicle
KW  - deep learning
KW  - driving algorithm
KW  - intelligent transportation system
KW  - big data
KW  - geospatial analytics
UR  - https://www.ceeol.com/search/article-detail?id=996097
N2  - "The authors draw on a substantial body of theoretical and empirical research on autonomous vehicle driving algorithms, deep learning-based sensing technologies, and big geospatial data analytics in smart sustainable intelligent transportation systems, and to explore this, they inspect, use, and replicate survey data from AUVSI, BikePGH, Capgemini, CarGurus, CivicScience, GenPop, Ipsos, KPMG, Management Events, McKinsey, Perkins Coie, Pew Research Center, and Statista."
ER  -

ROWLAND, Zuzana a Kathleen PORTER. Autonomous vehicle driving algorithms, deep learning-based sensing technologies, and big geospatial data analytics in smart sustainable intelligent transportation systems. \textit{Contemporary Readings in Law and Social Justice}. New York, USA: Addleton Academic Publishers, 2021, roč.~13, č.~2, s.~23-36. ISSN~1948-9137.

Podrobný výpis o publikaci