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Johannes Ossig, Stephanie Cramer and Klaus Bengler
In the human-centered research on automated driving, it is common practice to describe the vehicle behavior by means of terms and definitions related to non-automated driving. However, some of these definitions are not suitable for this purpose. This pap...
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Mikael Johansson, Mattias Mullaart Söderholm, Fjollë Novakazi and Annie Rydström
Automated driving technologies are rapidly being developed. However, until vehicles are fully automated, the control of the dynamic driving task will be shifted between the driver and automated driving system. This paper aims to explore how transitions f...
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Nadja Schömig, Katharina Wiedemann, André Wiggerich and Alexandra Neukum
Vehicles equipped with so-called partially automated driving functions are becoming more and more common nowadays. The special feature of this automation level is that the driver is relieved of the execution of the lateral and longitudinal driving task, ...
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Md Abdus Samad Kamal, Kotaro Hashikura, Tomohisa Hayakawa, Kou Yamada and Jun-ichi Imura
This paper presents Adaptive Cruise Control (ACC) with look-ahead anticipation, based on the model of ACC used in recent commercial vehicles, to take early decisions in driving a vehicle on the freeway. The existing ACC found in the high-end cars has lim...
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Tobias Hecht, Stefan Kratzert and Klaus Bengler
Automated driving research as a key topic in the automotive industry is currently undergoing change. Research is shifting from unexpected and time-critical take-over situations to human machine interface (HMI) design for predictable transitions. Furtherm...
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Yannick Forster, Sebastian Hergeth, Frederik Naujoks, Josef Krems and Andreas Keinath
Automated driving systems (ADS) and a combination of these with advanced driver assistance systems (ADAS) will soon be available to a large consumer population. Apart from testing automated driving features and human?machine interfaces (HMI), the develop...
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Naomi Y. Mbelekani and Klaus Bengler
Learnability in Automated Driving (LiAD) is a neglected research topic, especially when considering the unpredictable and intricate ways humans learn to interact and use automated driving systems (ADS) over the sequence of time. Moreover, there is a scar...
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Duc-Tien Bui, Hexuan Li, Francesco De Cristofaro and Arno Eichberger
Lateral vehicle control is of high importance in automated vehicles as it directly influences the vehicle?s performance and safety during operation. The linear quadratic regulator (LQR) controller stands out due to its high-performance characteristics an...
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Shunyi Liao, Feng Gao, Lei Feng, Jiemin Wu, Zexia Wang and Wangyang Chen
Out-of-hospital cardiac arrest (OHCA) causes a high mortality rate each year, which is a threat to human well-being and health. An automated external defibrillator (AED) is an effective device for heart attack-related diseases and is a panacea to save OH...
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Christian Ulrich, Benjamin Frieske, Stephan A. Schmid and Horst E. Friedrich
Companies facing transformation in the automotive industry will need to adapt to new trends, technologies and functions, in order to remain competitive. The challenge is to anticipate such trends and to forecast their development over time. The aim of th...
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Stephen J. Cauffman, Mei Lau, Yulin Deng, Christopher Cunningham, David B. Kaber and Jing Feng
This paper presents a review of current knowledge regarding factors affecting presentation of non-safety related information on in-vehicle displays. A set of proposed design guidelines, based on literature review, are presented along with open research q...
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J. B. Manchon, Romane Beaufort, Mercedes Bueno and Jordan Navarro
Driving automation deeply modifies the role of the human operator behind the steering wheel. Trust is required for drivers to engage in such automation, and this trust also seems to be a determinant of drivers? behaviors during automated drives. On the o...
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Yuan-Cheng Liu, Nikol Figalová and Klaus Bengler
The responsibility and role of human drivers during automated driving might change dynamically. In such cases, human-machine interface (HMI) transparency becomes crucial to facilitate driving safety, as the states of the automated vehicle have to be comm...
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Emilia Bruck, Aggelos Soteropoulos
Pág. 137 - 163
The potential rise of automated vehicles (AVs) may significantly impact future traffic volumes, in turn affecting urban street designs and adjacent land use. While integrated studies on potential traffic and land-use changes due to AVs largely concern is...
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Rebecca Hainich, Uwe Drewitz, Klas Ihme, Jan Lauermann, Mathias Niedling and Michael Oehl
Motion sickness (MS) is a syndrome associated with symptoms like nausea, dizziness, and other forms of physical discomfort. Automated vehicles (AVs) are potent at inducing MS because users are not adapted to this novel form of transportation, are provide...
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Marlene Susanne Lisa Scharfe, Kathrin Zeeb and Nele Russwinkel
In the development of highly automated driving systems (L3 and 4), much research has been done on the subject of driver takeover. Strong focus has been placed on the takeover quality. Previous research has shown that one of the main influencing factors i...
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Christina Kaß, Stefanie Schoch, Frederik Naujoks, Sebastian Hergeth, Andreas Keinath and Alexandra Neukum
Research on external human?machine interfaces (eHMIs) has recently become a major area of interest in the field of human factors research on automated driving. The broad variety of methodological approaches renders the current state of research inconclus...
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Nadja Schömig, Katharina Wiedemann, Sebastian Hergeth, Yannick Forster, Jeffrey Muttart, Alexander Eriksson, David Mitropoulos-Rundus, Kevin Grove, Josef Krems, Andreas Keinath, Alexandra Neukum and Frederik Naujoks
Within a workshop on evaluation methods for automated vehicles (AVs) at the Driving Assessment 2019 symposium in Santa Fe; New Mexico, a heuristic evaluation methodology that aims at supporting the development of human?machine interfaces (HMIs) for AVs w...
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Stefan Wolter, Giancarlo Caccia Dominioni, Sebastian Hergeth, Fabio Tango, Stuart Whitehouse and Frederik Naujoks
The advancement of SAE Level 3 automated driving systems requires best practices to guide the development process. In the past, the Code of Practice for the Design and Evaluation of ADAS served this role for SAE Level 1 and 2 systems. The challenges of L...
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Anika Boelhouwer, Arie Paul van den Beukel, Mascha C. van der Voort, Willem B. Verwey and Marieke H. Martens
Drivers struggle to understand how, and when, to safely use their cars? complex automated functions. Training is necessary but costly and time consuming. A Digital In-Car Tutor (DIT) is proposed to support drivers in learning about, and trying out, their...
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