Jul 12, 2019 · The key to solving this problem is to construct a computing model with selective attention and self-learning ability for autonomous driving, ...
Jul 12, 2019 · In current research of autonomous driving, the most widely adopted technique is to use a basic framework of serial information processing and ...
This study discusses how to implement a basic cognitive computing framework of self-driving with selective attention and an event-driven mechanism from the ...
Autonomous vehicle is a kind of typical complex artificial intelligence system. In current research of autonomous driving, the most widely adopted technique is ...
Autonomous vehicle is a kind of typical complex artificial intelligence system. In current research of autonomous driving, the most widely adopted technique ...
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This study aims to verify the behavioral sequence of the behavioral process characteristics of different takeover phases through real vehicle experiments.
ABSTRACT. This study tested whether drivers' hazard anticipation and/or perceived situation awareness differed in traditional versus autonomous driving ...
We investigated how participants build up mental representations of these naturalistic remote driving scenes, using a verbal elicitation protocol at the end of ...
The goal of this research is to computationally model and simulate the situation awareness (SA) of drivers. A computational model in a cognitive ...
Sep 10, 2024 · Autonomous vehicles offer a wide range of potential societal benefits, including reduced driving infractions, traffic volume, environmental ...