DeepTake: Prediction of Driver Takeover Behavior using Multimodal Data-Reference-Cited by-同舟云学术

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DeepTake: Prediction of Driver Takeover Behavior using Multimodal Data

Published:2021-05-06 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
language:
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Author:

Pakdamanian Erfan¹,Sheng Shili¹,Baee Sonia²,Heo Seongkook³,Kraus Sarit⁴,Feng Lu⁵

Affiliation:

1. Systems and Information Engineering University of Virginia, United States

2. University of Virginia, United States

3. Department of Computer Science University of Virginia, United States

4. Dept. of Computer Science Bar-Ilan Univ., Israel

5. Computer Science University of Virginia, United States

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3411764.3445563

Reference69 articles.

1. From reading to driving

2. Ready for Take-Over? A New Driver Assistance System for an Automated Classification of Driver Take-Over Readiness

3. How different mental workload levels affect the take-over control after automated driving

Cited by 32 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. Impact of Personality on Takeover Time and Maneuvers Shortly After Takeover Request;IEEE Transactions on Intelligent Transportation Systems;2024-09

2. Parallel Task Scheduling in Autonomous Robotic Systems: An Event-Driven Multimodal Prediction Approach;Proceedings of the 53rd International Conference on Parallel Processing;2024-08-12

3. Predicting driver’s takeover time based on individual characteristics, external environment, and situation awareness;Accident Analysis & Prevention;2024-08

4. Characterizing the Effect of Mind Wandering on Braking Dynamics in Partially Autonomous Vehicles;ACM Transactions on Cyber-Physical Systems;2024-07-29

5. Enhancing Road Safety: A Comprehensive Driver Behavior Scoring Framework with K-Means Action Segmentation and Deep Learning Behavior Detection;2024 Intelligent Methods, Systems, and Applications (IMSA);2024-07-13

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