Review and perspectives on driver digital twin and its enabling technologies for intelligent vehicles
Digital Twin (DT) is an emerging technology and has been introduced into intelligent driving
and transportation systems to digitize and synergize connected automated vehicles …
and transportation systems to digitize and synergize connected automated vehicles …
Toward human-vehicle collaboration: Review and perspectives on human-centered collaborative automated driving
The last decade witnessed a great development of automated driving vehicles (ADVs) and
vehicle intelligence. The significant increment of machine intelligence poses a new …
vehicle intelligence. The significant increment of machine intelligence poses a new …
Attachment and trust in artificial intelligence
Lack of trust is one of the main obstacles standing in the way of taking full advantage of the
benefits artificial intelligence (AI) has to offer. Most research on trust in AI focuses on …
benefits artificial intelligence (AI) has to offer. Most research on trust in AI focuses on …
The roles of initial trust and perceived risk in public's acceptance of automated vehicles
The purpose of this study was to explore factors affecting users' acceptance of automated
vehicles (AVs, Level 3). A theoretical acceptance model was proposed by extending the …
vehicles (AVs, Level 3). A theoretical acceptance model was proposed by extending the …
Milestones in autonomous driving and intelligent vehicles—part 1: Control, computing system design, communication, hd map, testing, and human behaviors
Interest in autonomous driving (AD) and intelligent vehicles (IVs) is growing at a rapid pace
due to the convenience, safety, and economic benefits. Although a number of surveys have …
due to the convenience, safety, and economic benefits. Although a number of surveys have …
To trust or not to trust? An assessment of trust in AI-based systems: Concerns, ethics and contexts
Artificial intelligence (AI) characterizes a new generation of technologies capable of
interacting with the environment and aiming to simulate human intelligence. The success of …
interacting with the environment and aiming to simulate human intelligence. The success of …
[HTML][HTML] A survey on theories and applications for self-driving cars based on deep learning methods
J Ni, Y Chen, Y Chen, J Zhu, D Ali, W Cao - Applied Sciences, 2020 - mdpi.com
Self-driving cars are a hot research topic in science and technology, which has a great
influence on social and economic development. Deep learning is one of the current key …
influence on social and economic development. Deep learning is one of the current key …
[HTML][HTML] Artificial intelligence in the digital twins: State of the art, challenges, and future research topics
Z Lv, S Xie - Digital Twin, 2022 - digitaltwin1.org
Advanced computer technologies such as big data, Artificial Intelligence (AI), cloud
computing, digital twins, and edge computing have been applied in various fields as …
computing, digital twins, and edge computing have been applied in various fields as …
A deep learning algorithm for simulating autonomous driving considering prior knowledge and temporal information
Autonomous vehicle (AV) stakeholders continue to seek assurance of the safety
performance of this new technology through AV testing on in‐service roads, AV‐dedicated …
performance of this new technology through AV testing on in‐service roads, AV‐dedicated …
[HTML][HTML] Digital twin in the maritime domain: A review and emerging trends
NS Madusanka, Y Fan, S Yang, X Xiang - Journal of Marine Science and …, 2023 - mdpi.com
This paper highlights the development of Digital Twin (DT) technology and its admittance to
a variety of applications within the maritime domain in general and surface ships in …
a variety of applications within the maritime domain in general and surface ships in …