Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Peter Stasinopoulos"'
Publikováno v:
IET Intelligent Transport Systems, Vol 18, Iss 1, Pp 154-172 (2024)
Abstract Fewer studies have investigated the factors affecting fully Automated Vehicles (AVs) acceptance and their association with demographics and travel behaviour in the Australian context. Evidence shows that public opinions and adoption towards
Externí odkaz:
https://doaj.org/article/78fb3f20dd4444aeabf661ac9ec2a1cc
Publikováno v:
Transportation Research Interdisciplinary Perspectives, Vol 25, Iss , Pp 101084- (2024)
No study has systematically investigated the public's perceptions of cybersecurity regulation, data generated by Autonomous Vehicles (AVs), and their relationship with the acceptance of AVs. To fill this knowledge gap, we conducted an exploratory stu
Externí odkaz:
https://doaj.org/article/5def7dcff0be4ac1bf62414d5c321191
Publikováno v:
Energies, Vol 17, Iss 16, p 4040 (2024)
Biomass supply chain (BSC) activities have caused social and environmental disruptions, such as climate change, energy security issues, high energy demand, and job opportunities, especially in rural areas. Moreover, different economic problems have a
Externí odkaz:
https://doaj.org/article/1dd5cc02c5554e7e89080a5eede50335
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-12 (2023)
Abstract The digital transformation of Automated Vehicles (AVs) has raised concerns in the cyber realm among prospective AV consumers. However, there is a dearth of empirical research on how cyber obstacles may impact the operation of AVs. To address
Externí odkaz:
https://doaj.org/article/3c28b15738aa477c8c1f04d89353969a
Publikováno v:
Sensors, Vol 23, Iss 17, p 7388 (2023)
With the increasing use of automated vehicles (AVs) in the coming decades, government authorities and private companies must leverage their potential disruption to benefit society. Few studies have considered the impact of AVs towards mode shift by c
Externí odkaz:
https://doaj.org/article/0637e5b7994e43528e7ee423acdb53d9
Publikováno v:
Sensors, Vol 23, Iss 8, p 4085 (2023)
Lane detection in driving situations is a critical module for advanced driver assistance systems (ADASs) and automated cars. Many advanced lane detection algorithms have been presented in recent years. However, most approaches rely on recognising the
Externí odkaz:
https://doaj.org/article/5e8e33d8749144c386ebb5b81207f8d5
Publikováno v:
World Electric Vehicle Journal, Vol 14, Iss 2, p 48 (2023)
Automated vehicles, predicted to be fully electric in future, are expected to reduce road fatalities and road traffic emissions. The lane departure warning system, an important feature of automated vehicles, utilize lane detection and tracking algori
Externí odkaz:
https://doaj.org/article/f01af4dce97d47e3960c3085986aeb38
Publikováno v:
Procedia CIRP. 109:134-139
Publikováno v:
Procedia CIRP. 105:817-822
Publikováno v:
Sustainability; Volume 14; Issue 19; Pages: 12100
Disruptive technology, especially autonomous vehicles, is predicted to provide higher safety and reduce road traffic emissions. Lane detection and tracking are critical building blocks for developing autonomous or intelligent vehicles. This study pre