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 …
Federated vehicular transformers and their federations: Privacy-preserving computing and cooperation for autonomous driving
Cooperative computing is promising to enhance the performance and safety of autonomous
vehicles benefiting from the increase in the amount, diversity as well as scope of data …
vehicles benefiting from the increase in the amount, diversity as well as scope of data …
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 …
Chat with ChatGPT on interactive engines for intelligent driving
ChatGPT, a chatbot launched by OpenAI, is making waves across the internet recently. Its
potential capabilities and how it can impact various industries have been widely discussed …
potential capabilities and how it can impact various industries have been widely discussed …
Driving performance under violations of traffic rules: Novice vs. experienced drivers
It is of great significance for safe driving to study drivers' eye movement and driving
operation behavior when they encounter other road users violating traffic rules. The …
operation behavior when they encounter other road users violating traffic rules. The …
Left gaze bias between LHT and RHT: a recommendation strategy to mitigate human errors in left-and right-hand driving
Driver errors, such as distraction, perceptual blindness, and incorrect control manipulation,
can either cause road accidents or reduce driving performance in daily driving tasks …
can either cause road accidents or reduce driving performance in daily driving tasks …
Authority allocation strategy for shared steering control considering human-machine mutual trust level
Human-machine mutual trust has become one of the important factors restricting steer-by-
wire vehicles due to the removal of mechanical connections. To this end, this article …
wire vehicles due to the removal of mechanical connections. To this end, this article …
Federated learning for connected and automated vehicles: A survey of existing approaches and challenges
Machine learning (ML) is widely used for key tasks in Connected and Automated Vehicles
(CAV), including perception, planning, and control. However, its reliance on vehicular data …
(CAV), including perception, planning, and control. However, its reliance on vehicular data …
ChatGPT as your vehicle co-pilot: An initial attempt
One of the most challenging problems in human-machine co-work is the gap between
human intention and the machine's understanding and execution. Large Language Models …
human intention and the machine's understanding and execution. Large Language Models …
A performance comparison of YOLOv8 models for traffic sign detection in the Robotaxi-full scale autonomous vehicle competition
The ability to recognize traffic signs is a critical skill for safe driving, as traffic signs provide
drivers with essential information about the road conditions, potential hazards, speed limits …
drivers with essential information about the road conditions, potential hazards, speed limits …