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Roth, M. (author)
This thesis addresses the sensor-based perception of driver and pedestrian to improve joint path prediction of ego-vehicle and pedestrian based on mutual awareness in the domain of intelligent vehicles.<br/><br/>According to the World Health Organization (WHO), more than half of global traffic deaths are among Vulnerable Road Users (VRUs), such...
doctoral thesis 2023
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Jain, V. (author), Kumar, Sandeep Suresh (author), Papaioannou, G. (author), Happee, R. (author), Shyrokau, B. (author)
In the transition from partial to high automation, occupants will no longer be actively involved in driving. This will allow the use of travel time for work or leisure, where high comfort levels preventing motion sickness are required. In this paper, an optimal trajectory planning algorithm is presented in order to minimise motion sickness in...
journal article 2023
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Rajesh, Nishant (author), Zheng, Y. (author), Shyrokau, B. (author)
Automated vehicles promise numerous advantages to their users. The proposed benefits could however be overshadowed by a rise in the susceptibility of passengers to motion sickness due to their engagement in non-driving tasks. Increasing attention is paid to designing vehicle motion to mitigate motion sickness. In this work, the deep...
journal article 2023
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Bhoopalam, Anirudh Kishore (author), van den Berg, Roy (author), Agatz, Niels (author), Chorus, C.G. (author)
Work towards making automated driving systems a reality is well underway. In this study, we look at what is likely to be one of the first widespread implementations of a form of automated driving on public roads, i.e., truck platooning, where virtually connected trucks drive at short headways to save fuel and associated emissions. With...
journal article 2023
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Tinga, Angelica M. (author), van Zeumeren, I.M. (author), Christoph, Michiel (author), van Grondelle, E.D. (author), Cleij, Diane (author), Aldea, Anna (author), van Nes, C.N. (author)
With increasing implementation of automated driving technology it is expected that different automation modes will be present within the same vehicle and within a single trip. At all times during automated driving the driver needs to have ‘mode awareness’, which is an understanding of the automation mode and the corresponding responsibilities...
journal article 2023
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Braun, M. (author)
This thesis addresses the topic of visual person detection and pose estimation. While these tasks are relevant for a broad range of applications, this thesis focuses on the domain of intelligent vehicles in urban traffic scenes. This domain is particularly interesting due to specific challenges related to visual perception from a moving vehicle....
doctoral thesis 2022
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Stapel, J.C.J. (author), Gentner, Alexandre (author), Happee, R. (author)
To encourage appropriate use of driving automation, we need to understand and monitor driver's trust and risk perception. We examined (1) how trust and perceived risk are affected by automation, driving conditions and experience and (2) how well perceived risk can be inferred from behaviour and physiology at three levels: over traffic...
journal article 2022
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Kim, S. (author), van Grondelle, E.D. (author), van Zeumeren, I.M. (author), Mirnig, Alexander G. (author), Stojmenova, Kristina (author)
In automated vehicles, the driver and the vehicle make a decision on the driving. However, there is no guarantee that drivers always agree or follow the system's decision. Drivers can reject the system's proposal or regain control, and it reduces the usefulness of automated vehicles. When a decision conflict happens, the vehicle can negotiate...
conference paper 2022
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de Winter, J.C.F. (author), Dodou, D. (author)
The last few years have seen a wealth of research on external human–machine interfaces (eHMIs). It has been argued that eHMIs are vital because they fill the social interaction void that arises with the introduction of automated vehicles (AVs). However, there is still much discussion about whether eHMIs are needed. The present article surveys...
journal article 2022
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He, X. (author), Stapel, J.C.J. (author), Wang, M. (author), Happee, R. (author)
Perceived risk and trust are crucial for user acceptance of driving automation. In this study, we identify important predictors of perceived risk and trust in a driving simulator experiment and develop models through stepwise regression to predict event-based changes in perceived risk and trust. 25 participants were tasked to monitor SAE...
journal article 2022
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Tinga, Angelica M. (author), Cleij, Diane (author), Jansen, Reinier J. (author), van der Kint, Sander (author), van Nes, C.N. (author)
In the transition towards higher levels of vehicle automation, one of the key concerns with regards to human factors is to avoid mode confusion, when drivers misinterpret the driving mode and therewith misjudge their own tasks and responsibility. To enhance mode awareness, a clear human centered Human Machine Interface (HMI) is essential. The...
journal article 2022
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de Winter, J.C.F. (author), Stanton, Neville (author), Eisma, Y.B. (author)
The last decade has seen a surge of driving simulator research on automation-to-manual take-overs. In this commentary, we argue that most research within the take-over paradigm bears little resemblance to real automated driving. Furthermore, we claim that results within this paradigm could already be known based on published research from the...
journal article 2021
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Sripada, Anirudh (author), Bazilinskyy, P. (author), de Winter, J.C.F. (author)
It may be necessary to introduce new modes of communication between automated vehicles (AVs) and pedestrians. This research proposes using the AV’s lateral deviation within the lane to communicate if the AV will yield to the pedestrian. In an online experiment, animated video clips depicting an approaching AV were shown to participants. Each...
journal article 2021
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Bazilinskyy, P. (author), Kooijman, L. (author), Dodou, D. (author), de Winter, J.C.F. (author)
External human-machine interfaces (eHMIs) may be useful for communicating the intention of an automated vehicle (AV) to a pedestrian, but it is unclear which eHMI design is most effective. In a crowdsourced experiment, we examined the effects of (1) colour (red, green, cyan), (2) position (roof, bumper, windshield), (3) message (WALK, DON'T...
journal article 2021
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Bazilinskyy, P. (author), Sakuma, Tsuyoshi (author), de Winter, J.C.F. (author)
An important question in the development of automated vehicles (AVs) is which driving style AVs should adopt and how other road users perceive them. The current study aimed to determine which AV behaviours contribute to pedestrians' judgements as to whether the vehicle is driving manually or automatically as well as judgements of likeability....
journal article 2021
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Bazilinskyy, P. (author), Dodou, D. (author), de Winter, J.C.F. (author)
In a crowdsourced experiment, the effects of distance and type of the approaching vehicle, traffic density, and visual clutter on pedestrians’ attention distribution were explored. 966 participants viewed 107 images of diverse traffic scenes for durations between 100 and 4000 ms. Participants’ eye-gaze data were collected using the TurkEyes...
conference paper 2021
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Marfoglia, Themis (author)
The development of automated vehicles on the road is in full swing. As vehicles are getting increasingly automated, the human factor is diminished or eventually removed from automated driving. Until then, a combination of human input and automation is necessary during automated driving. This research focuses on the interaction between humans and...
master thesis 2020
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Vermeer, R.F.T. (author)
In this thesis, we consider the problem of controlling multiple autonomous vehicles in a highway scenario, via MPC. By iteratively solving a motion planning OCP, MPC is perfectly suited for unknown dynamic environments, while optimally computing path and vehicle inputs. Moreover, MPC can ensure the satisfaction of collision avoidance constraints...
master thesis 2020
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Cornet, R. (author)
Fully automated vehicles have the potential to increase road safety and improve traffic flow by taking the human element out of the driving loop. They can also provide mobility to people who are unable to operate a conventional vehicle. Safe automated vehicles must be able to respond in emergency situations or drive on slippery roads in bad...
master thesis 2020
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Gürses, Sergin (author)
Human Machine Interface (HMI) is a design concept that improves the interaction between the driver and the automated vehicle, which leads to greater safety and comfort for the driver and greater safety for the road user. Therefore, many papers and patents are published every year. Many papers use different methodologies and materials due to some...
master thesis 2020
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