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Shared Control methods often use impedance control to track target poses in a robotic manipulator. The guidance behavior of such controllers is shaped by the used stiffness gains, which can be varying over time to achieve an adaptive…

It remains uncertain regarding the safety of driving in autonomous vehicles that, after a long, passive control and inattention to the driving situation, how the drivers will be effectively informed to take-over the control in emergency. In…

Human-Computer Interaction · Computer Science 2018-10-18 Erfan Pakdamanian , Lu Feng , Inki Kim

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

In this study, we analyze the stability of a path-tracking controller designed for a four-wheel steering vehicle, incorporating the effects of the reference path curvature. By employing a simplified kinematic model of the vehicle with…

Systems and Control · Electrical Eng. & Systems 2024-12-05 Sungjin Lim , Illés Vörös , Yongseob Lim , Gábor Orosz

Shared control schemes allow a human driver to work with an automated driving agent in driver-vehicle systems while retaining the driver's abilities to control. The human driver, as an essential agent in the driver-vehicle shared control…

Systems and Control · Electrical Eng. & Systems 2020-08-10 Wenshuo Wang , Xiaoxiang Na , Dongpu Cao , Jianwei Gong , Junqiang Xi , Yang Xi , Fei-Yue Wang

With the growing technological advances in autonomous driving, the transport industry and research community seek to determine the impact that autonomous vehicles (AV) will have on consumers, as well as identify the different factors that…

Human-Computer Interaction · Computer Science 2022-01-11 Walter Morales Alvarez , Nikita Smirnov , Elmar Matthes , Cristina Olaverri-Monreal

Driver assistance systems, also called automated driving systems, allow drivers to immerse themselves in non-driving-related tasks. Unfortunately, drivers may not trust the automated driving system, which prevents either handing over the…

Human-Computer Interaction · Computer Science 2019-03-14 Luke Petersen , Lionel Robert , X. Jessie Yang , Dawn M. Tilbury

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

Improper lane-changing behaviors may result in breakdown of traffic flow and the occurrence of various types of collisions. This study investigates lane-changing behaviors of multiple vehicles and the stimulative effect on following drivers…

Machine Learning · Computer Science 2022-06-07 Ruifeng Gu

The safety-critical nature of vehicle steering is one of the main motivations for exploring the space of possible cyber-physical attacks against the steering systems of modern vehicles. This paper investigates the adversarial capabilities…

Systems and Control · Electrical Eng. & Systems 2023-07-25 Alireza Mohammadi , Hafiz Malik

Shared control in assistive robotics blends human autonomy with computer assistance, thus simplifying complex tasks for individuals with physical impairments. This study assesses an adaptive Degrees of Freedom control method specifically…

Human-Computer Interaction · Computer Science 2024-06-11 Felix Ferdinand Goldau , Max Pascher , Annalies Baumeister , Patrizia Tolle , Jens Gerken , Udo Frese

Understanding how driver mental states differ between active and autonomous driving is critical for designing safe human-vehicle interfaces. This paper presents the first EEG-based comparison of cognitive load, fatigue, valence, and arousal…

Human-Computer Interaction · Computer Science 2025-12-11 Prithila Angkan , Paul Hungler , Ali Etemad

Lane changes are common yet challenging driving maneuvers that require continuous decision-making and dynamic interaction with surrounding vehicles. Relying solely on human drivers for lane-changing can lead to traffic disturbances due to…

Systems and Control · Electrical Eng. & Systems 2025-10-30 Jiamin Wu , Chenguang Zhao , Huan Yu

The focus of this paper is an integrated, fault-tolerant vehicle supervisory control algorithm for the overall stability of ground vehicles. Vehicle control systems contain many sensors and actuators that can communicate with each other…

Systems and Control · Electrical Eng. & Systems 2020-08-14 Ozan Temiz , Melih Cakmakci , Yildiray Yildiz

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…

Social scientists have argued that autonomous vehicles (AVs) need to act as effective social agents; they have to respond implicitly to other drivers' behaviors as human drivers would. In this paper, we investigate how contingent driving…

Human-Computer Interaction · Computer Science 2025-09-23 Chishang Yang , Xiang Chang , Debargha Dey , Avi Parush , Wendy Ju

With the development of intelligent connected vehicle technology, human-machine shared control has gained popularity in vehicle following due to its effectiveness in driver assistance. However, traditional vehicle following systems struggle…

Systems and Control · Electrical Eng. & Systems 2024-11-01 Zihan Wang , Mengran Li , Ronghui Zhang , Jing Zhao , Chuan Hu , Xiaolei Ma , Zhijun Qiu

Affective states have a critical role in driving performance and safety. They can degrade driver situation awareness and negatively impact cognitive processes, severely diminishing road safety. Therefore, detecting and assessing drivers'…

Machine Learning · Computer Science 2019-07-24 Daniel Lopez-Martinez , Neska El-Haouij , Rosalind Picard

The study of action selection in humans can present challenges of task design since our actions are usually defined by many degrees of freedom and therefore occupy a large action-space. While saccadic eye-movement offers a more constrained…

In this simulator study, we investigate how gaze parameters reflect driver cognitive distraction under varying traffic conditions and adaptive cruise control (ACC) use. Participants completed six driving scenarios that combined two levels…

Human-Computer Interaction · Computer Science 2025-08-15 Anaïs Halin , Adrien Deliège , Christel Devue , Marc Van Droogenbroeck