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Related papers: Decoding Driver Takeover Behaviour in Conditional …

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In SAE Level 3 automated driving, taking over control from automation raises significant safety concerns because drivers out of the vehicle control loop have difficulty negotiating takeover transitions. Existing studies on takeover…

Human-Computer Interaction · Computer Science 2020-10-08 Na Du , X. Jessie Yang , Feng Zhou

Driving is a key component of independence and quality of life for older adults. However, cognitive decline associated with conditions such as mild cognitive impairment and dementia can compromise driving safety and often lead to premature…

Computer Vision and Pattern Recognition · Computer Science 2025-05-27 Gelareh Hajian , Ali Abedi , Bing Ye , Jennifer Campos , Alex Mihailidis

In conditionally automated driving, drivers have difficulty in takeover transitions as they become increasingly decoupled from the operational level of driving. Factors influencing takeover performance, such as takeover lead time and the…

Human-Computer Interaction · Computer Science 2020-01-15 Na Du , Feng Zhou , Elizabeth Pulver , Dawn M. Tilbury , Lionel P. Robert , Anuj K. Pradhan , X. Jessie Yang

It is extremely important to ensure a safe takeover transition in conditionally automated driving. One of the critical factors that quantifies the safe takeover transition is takeover time. Previous studies identified the effects of many…

Machine Learning · Computer Science 2021-07-21 Jackie Ayoub , Na Du , X. Jessie Yang , Feng Zhou

With increasing automation in passenger vehicles, the study of safe and smooth occupant-vehicle interaction and control transitions is key. In this study, we focus on the development of contextual, semantically meaningful representations of…

Robotics · Computer Science 2021-07-26 Akshay Rangesh , Nachiket Deo , Ross Greer , Pujitha Gunaratne , Mohan M. Trivedi

Understanding how trust is built over time is essential, as trust plays an important role in the acceptance and adoption of automated vehicles (AVs). This study aimed to investigate the effects of system performance and participants' trust…

Human-Computer Interaction · Computer Science 2021-12-09 Jackie Ayoub , Lilit Avetisyan , Mustapha Makki , Feng Zhou

Before the era of fully automated vehicles, human is consistently an indispensable part of the driving system. Various studies have investigated drivers' cooperation with the vehicle under different conditions. In this article, we analyzed…

Human-Computer Interaction · Computer Science 2024-05-30 Yan Zhang

Understanding occupant-vehicle interactions by modeling control transitions is important to ensure safe approaches to passenger vehicle automation. Models which contain contextual, semantically meaningful representations of driver states…

Computer Vision and Pattern Recognition · Computer Science 2022-11-15 Akshay Rangesh , Nachiket Deo , Ross Greer , Pujitha Gunaratne , Mohan M. Trivedi

Conditionally automated driving systems require human drivers to disengage from non-driving-related activities and resume vehicle control within limited time budgets when encountering scenarios beyond system capabilities. Ensuring safe and…

Human-Computer Interaction · Computer Science 2025-07-31 Kexin Liang , Simeon C. Calvert , J. W. C. van Lint

The purpose of this paper is to develop a shared control takeover strategy for smooth and safety control transition from an automation driving system to the human driver and to approve its positive impacts on drivers' behavior and…

Human-Computer Interaction · Computer Science 2021-03-12 Ziyao Zhou , Chen Chai , Weiru Yin , Xiupeng Shi

During the use of Advanced Driver Assistance Systems (ADAS), drivers can intervene in the active function and take back control due to various reasons. However, the specific reasons for driver-initiated takeovers in naturalistic driving are…

Robotics · Computer Science 2024-06-11 Robin Schwager , Michael Grimm , Xin Liu , Lukas Ewecker , Tim Bruehl , Tin Stribor Sohn , Soeren Hohmann

When automated driving systems encounter complex situations beyond their operational capabilities, they issue takeover requests, prompting drivers to resume vehicle control and return to the driving loop as a critical safety backup.…

Human-Computer Interaction · Computer Science 2025-08-01 Kexin Liang , Jan Luca Kästle , Bani Anvari , Simeon C. Calvert , J. W. C. van Lint

In this study, we focus on different strategies drivers use in terms of interleaving between driving and non-driving related tasks (NDRT) while taking back control from automated driving. We conducted two driving simulator experiments to…

Human-Computer Interaction · Computer Science 2024-08-13 Nabil Al Nahin Ch , Jared Fortier , Christian P. Janssen , Orit Shaer , Caitlin Mills , Andrew L. Kun

Conditionally automated driving requires drivers to resume vehicle control promptly when automation reaches its operational limits. Ensuring smooth vehicle control transitions is critical for the safety and efficiency of mixed-traffic…

Human-Computer Interaction · Computer Science 2025-11-11 Kexin Liang , Simeon C. Calvert , J. W. C. van Lint

The transition of control from autonomous systems to human drivers is critical in automated driving systems, particularly due to the out-of-the-loop (OOTL) circumstances that reduce driver readiness and increase reaction times. Existing…

Robotics · Computer Science 2025-10-14 Dikshant Shehmar , Matthew E. Taylor , Ehsan Hashemi

Automated vehicles promise a future where drivers can engage in non-driving tasks without hands on the steering wheels for a prolonged period. Nevertheless, automated vehicles may still need to occasionally hand the control back to drivers…

Machine Learning · Computer Science 2021-01-18 Erfan Pakdamanian , Shili Sheng , Sonia Baee , Seongkook Heo , Sarit Kraus , Lu Feng

Existing driving automation (DA) systems on production vehicles rely on human drivers to decide when to engage DA while requiring them to remain continuously attentive and ready to intervene. This design demands substantial situational…

Human-Computer Interaction · Computer Science 2026-04-09 Yuhang Wang , Yiyao Xu , Chaoyun Yang , Lingyao Li , Jingran Sun , Hao Zhou

With the automotive industry transitioning towards conditionally automated driving, takeover warning systems are crucial for ensuring safe collaborative driving between users and semi-automated vehicles. However, previous work has focused…

A gradual takeover strategy is proposed, in which the dynamic driving privilege assignment in real-time and the driving privilege gradual handover are realized. Firstly, the driving privilege assignment based on the risk level is achieved.…

Systems and Control · Electrical Eng. & Systems 2020-11-13 Rui Liu , Xichan Zhu , Xuan Zhao , Jian Ma

Recent developments in advanced driving assistance systems (ADAS) that rely on some level of autonomy have led the automobile industry and research community to investigate the impact they might have on driving performance. However, most of…

Human-Computer Interaction · Computer Science 2021-06-15 Walter Morales-Alvarez , Mohamed Marouf , Hadj. Hamma Tadjine , Cristina Olaverri-Monreal
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