J 2021

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

ROWLAND, Zuzana and Kathleen PORTER

Basic information

Original name

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

Authors

ROWLAND, Zuzana (203 Czech Republic, guarantor, belonging to the institution) and Kathleen PORTER

Edition

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

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

50200 5.2 Economics and Business

Country of publisher

United States of America

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

URL

RIV identification code

RIV/75081431:_____/21:00002226

Organization unit

Institute of Technology and Business in České Budějovice

Keywords in English

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

Tags

BSA_MIE, RIV21, SCOPUS
Změněno: 16/12/2021 14:43, Mgr. Nikola Petříková

Abstract

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."
Displayed: 23/12/2024 20:30