Zobrazeno 1 - 10
of 4 637
pro vyhledávání: '"Self-driving"'
Autor:
Takeyoshi Imai
Publikováno v:
IATSS Research, Vol 48, Iss 3, Pp 456-463 (2024)
In Japan, the key pieces of legislations governing road safety, namely the Road Transport Vehicle Act and the Road Traffic Act, have been revised to tackle drunk driving and, recently, to allow the development of self-driving cars. Traffic safety on
Externí odkaz:
https://doaj.org/article/67432e877b4d4f0ca964f7aeafe2fbbb
Autor:
Alexsey Y. Saenko
Publikováno v:
Теоретическая и экспериментальная психология, Vol 17, Iss 3, Pp 66-95 (2024)
Background. Despite the active development of self-driving transport technology conducted by leading companies around the world, people's attitude to such technology remains ambiguous. The problem of the attitudes of individuals and various social gr
Externí odkaz:
https://doaj.org/article/97f6021a95c149f9ac41d15688135155
Autor:
Satyabrata Swain, Asis Kumar Tripathy
Publikováno v:
International Journal of Sustainable Engineering, Vol 17, Iss 1, Pp 1-11 (2024)
The increasing prominence of autonomous vehicles underscores the critical need for precise and prompt lane detection to ensure safe and reliable transportation. This paper aims to enhance autonomous vehicle performance by developing an advanced real-
Externí odkaz:
https://doaj.org/article/5044ab64d0204679a039b6cc98f5ea61
Publikováno v:
Underground Space, Vol 19, Iss , Pp 227-250 (2024)
To solve the problem that current attitude planning methods do not fully consider the interaction and constraints among the shield, segmental tunnel ring, and geology, and cannot adapt to the changes in the actual engineering environment, or provide
Externí odkaz:
https://doaj.org/article/10979e3d8d414701bac8a9d14f7b214c
Publikováno v:
Mathematical Biosciences and Engineering, Vol 21, Iss 5, Pp 6077-6096 (2024)
Due to the complexity of the driving environment and the dynamics of the behavior of traffic participants, self-driving in dense traffic flow is very challenging. Traditional methods usually rely on predefined rules, which are difficult to adapt to v
Externí odkaz:
https://doaj.org/article/2abdf9d2cd994a5a9fd4161803c1d61b
Autor:
Chengqun Qiu, Hao Tang, Yuchen Yang, Xinshan Wan, Xixi Xu, Shengqiang Lin, Ziheng Lin, Mingyu Meng, Changli Zha
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract The resolution of traffic congestion and personal safety issues holds paramount importance for human’s life. The ability of an autonomous driving system to navigate complex road conditions is crucial. Deep learning has greatly facilitated
Externí odkaz:
https://doaj.org/article/e4abae0ef0bf4a8f968dd45eed1bac83
Publikováno v:
Globalization and Health, Vol 20, Iss 1, Pp 1-19 (2024)
Abstract The advancement of artificial intelligence (AI), algorithm optimization and high-throughput experiments has enabled scientists to accelerate the discovery of new chemicals and materials with unprecedented efficiency, resilience and precision
Externí odkaz:
https://doaj.org/article/ae659168c01540d3b0ebb10d1ce16626
Autor:
Felipe Caleffi, Lauren da Silva Rodrigues, Joice da Silva Stamboroski, Brenda Medeiros Pereira
Publikováno v:
Journal of Traffic and Transportation Engineering (English ed. Online), Vol 11, Iss 2, Pp 271-292 (2024)
The autonomous vehicle (AV) technology has the potential to significantly improve safety and efficiency of the transportation and logistics industry. Full-scale AV testing is limited by time, space, and cost, while simulation-based testing often lack
Externí odkaz:
https://doaj.org/article/6bf206574f0d451abfe798c3e9bb5957
Autor:
S. Nordhoff
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract A better understanding of automation disengagements can lead to improved safety and efficiency of automated systems. This study investigates the factors contributing to automation disengagements initiated by human operators and the automatio
Externí odkaz:
https://doaj.org/article/14e0469ddac04bd99d2a75c1e834660b