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Managing driving modes in automated driving systems
Current technology is unable to produce massively deployable, fully automated vehicles that
do not require human intervention. Given that such limitations are projected to persist for …
do not require human intervention. Given that such limitations are projected to persist for …
Survey on Human-Vehicle Interactions and AI Collaboration for Optimal Decision-Making in Automated Driving
The capabilities of automated vehicles are advancing rapidly, yet achieving full autonomy
remains a significant challenge, requiring ongoing human cognition in decision-making …
remains a significant challenge, requiring ongoing human cognition in decision-making …
Meta-trend of trust factors in autonomous vehicles
Autonomous vehicles (AVs) have the potential for the future of transportation and changes
are expected in user perceptions and behaviors, where the autonomous driving technology …
are expected in user perceptions and behaviors, where the autonomous driving technology …
Driver intervention performance assessment as a key aspect of L3–L4 automated vehicles deployment
Abstract In L3–L4 vehicles, driving task is performed primarily by automated driving system
(ADS). Automation mode permits to engage in non-driving-related tasks; however, it …
(ADS). Automation mode permits to engage in non-driving-related tasks; however, it …
Predicting User Acceptance of Automated Vehicles Based on Basic User Characteristics through Big Data Analysis
M Zheng, J Zhang, C Yang, X Li, J Luo… - 2023 3rd Asia …, 2023 - ieeexplore.ieee.org
User acceptance is the key to the adoption of automated vehicles, yet previous models rely
heavily on using psychological constructs which are time-consuming to measure to make …
heavily on using psychological constructs which are time-consuming to measure to make …