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 …
Survey on scenario-based safety assessment of automated vehicles
S Riedmaier, T Ponn, D Ludwig, B Schick… - IEEE …, 2020 - ieeexplore.ieee.org
When will automated vehicles come onto the market? This question has puzzled the
automotive industry and society for years. The technology and its implementation have …
automotive industry and society for years. The technology and its implementation have …
Milestones in autonomous driving and intelligent vehicles: Survey of surveys
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 …
Chat with chatgpt on intelligent vehicles: An ieee tiv perspective
This letter reports on a TIV DHW (decentralized and hybrid workshop) that explores the
prospective influence of ChatGPT on research and development in intelligent vehicles. To …
prospective influence of ChatGPT on research and development in intelligent vehicles. To …
Milestones in autonomous driving and intelligent vehicles—Part I: 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 …
[HTML][HTML] Automated vehicle-involved traffic flow studies: A survey of assumptions, models, speculations, and perspectives
Automated vehicles (AVs) are widely considered to play a crucial role in future transportation
systems because of their speculated capabilities in improving road safety, saving energy …
systems because of their speculated capabilities in improving road safety, saving energy …
Testing machine learning based systems: a systematic mapping
Abstract Context: A Machine Learning based System (MLS) is a software system including
one or more components that learn how to perform a task from a given data set. The …
one or more components that learn how to perform a task from a given data set. The …
Urban traffic signal control with connected and automated vehicles: A survey
Inefficient traffic control is pervasive in modern urban areas, which would exaggerate traffic
congestion as well as deteriorate mobility, fuel economy and safety. In this paper, we …
congestion as well as deteriorate mobility, fuel economy and safety. In this paper, we …
Internet of vehicles in big data era
As the rapid development of automotive telematics, modern vehicles are expected to be
connected through heterogeneous radio access technologies and are able to exchange …
connected through heterogeneous radio access technologies and are able to exchange …
Driver activity recognition for intelligent vehicles: A deep learning approach
Driver decisions and behaviors are essential factors that can affect the driving safety. To
understand the driver behaviors, a driver activities recognition system is designed based on …
understand the driver behaviors, a driver activities recognition system is designed based on …