Determining the onset of driver’s preparatory action for take-over in automated driving using multimodal data-Reference-Cited by-同舟云学术

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Determining the onset of driver’s preparatory action for take-over in automated driving using multimodal data

Published:2024-07 Issue: Volume:246 Page:123153
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Teshima Takaaki^ORCID,Niitsuma Masahiro^ORCID,Nishimura Hidekazu^ORCID

Publisher

Elsevier BV

Reference84 articles.

1. Eye-tracking capabilities of low-cost EOG system;Acuña,2014

2. A robust deep learning approach for position-independent smartphone-based human activity recognition;Almaslukh;Sensors,2018

3. Distracted driver classification using deep learning;Alotaibi;Signal, Image and Video Processing,2020

4. Applying deep neural networks for multi-level classification of driver drowsiness using vehicle-based measures;Arefnezhad;Expert Systems with Applications,2020

5. A cross-disciplinary comparison of multimodal data fusion approaches and applications: Accelerating learning through trans-disciplinary information sharing;Bokade;Expert Systems with Applications,2021

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Gender affects perception and movement times during non-critical takeovers in conditionally automated driving;Transportation Research Part F: Traffic Psychology and Behaviour;2024-10

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