Detailed Information on Publication Record
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 PORTERBasic 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:
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
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."