activity
20182026
most citedFederated Transfer-Ordered-Personalized Learning for Driver Monitoring Application

39 citations · 230 across the 69 of their papers we have counts for

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Showing cs.HCShow all

5 papers · 1 filter

cs.HC2023★ 9 cited

Receive, Reason, and React: Drive as You Say with Large Language Models in Autonomous Vehicles

Can Cui, Yunsheng Ma, Xu Cao +2

The fusion of human-centric design and artificial intelligence (AI) capabilities has opened up new possibilities for next-generation autonomous vehicles that go beyond transportati…

cs.HC2023★ 3 cited

Drive as You Speak: Enabling Human-Like Interaction with Large Language Models in Autonomous Vehicles

Can Cui, Yunsheng Ma, Xu Cao +2

The future of autonomous vehicles lies in the convergence of human-centric design and advanced AI capabilities. Autonomous vehicles of the future will not only transport passengers…

cs.HC2022

A Study on Learning and Simulating Personalized Car-Following Driving Style

Shili Sheng, Erfan Pakdamanian, Kyungtae Han +2

Automated vehicles are gradually entering people's daily life to provide a comfortable driving experience for the users. The generic and user-agnostic automated vehicles have limit…

cs.HC2021

Planning for Automated Vehicles with Human Trust

Shili Sheng, Erfan Pakdamanian, Kyungtae Han +4

Recent work has considered personalized route planning based on user profiles, but none of it accounts for human trust. We argue that human trust is an important factor to consider…

cs.HC2020★ 4 cited

Augmented Reality-Based Advanced Driver-Assistance System for Connected Vehicles

Ziran Wang, Kyungtae Han, Prashant Tiwari

With the development of advanced communication technology, connected vehicles become increasingly popular in our transportation systems, which can conduct cooperative maneuvers wit…