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How accurate models of human behavior are needed for human-robot interaction? For automated driving? [article]

Gustav Markkula, Mehmet Dogar
2022 arXiv   pre-print
Human-robot interaction (HRI) therefore provides an important applied setting for human behavior modeling - but given the vast complexity of human behavior, how complete and accurate do these models need  ...  There are many examples of cases where access to improved models of human behavior and cognition has allowed creation of robots which can better interact with humans, and not least in road vehicle automation  ...  , so still: what do we need to model, and how accurately?  ... 
arXiv:2202.06123v2 fatcat:ytco6rpwifgldpftbuuhwwvuhq

How accurate models of human behavior are needed for human-robot interaction? For automated driving? [article]

Gustav Markkula, Mehmet Dogar
2022
Human-robot interaction (HRI) therefore provides an important applied setting for human behavior modeling - but given the vast complexity of human behavior, how complete and accurate do these models need  ...  There are many examples of cases where access to improved models of human behavior and cognition has allowed creation of robots which can better interact with humans, and not least in road vehicle automation  ...  , so still: what do we need to model, and how accurately?  ... 
doi:10.48550/arxiv.2202.06123 fatcat:btrdn5vhcbhapnovzemgtaeb4i

Quality assurance methodologies for automated driving

Franz Wotawa, Bernhard Peischl, Florian Klück, Mihai Nica
2018 e & i Elektrotechnik und Informationstechnik  
The case of automated driving represents the next level of safety critical systems where additional challenges arise.  ...  For safety critical systems like cars, trains, or airplanes quality assurance methods and techniques are crucial for preventing situations that may harm people.  ...  Acknowledgements Open access funding provided by Graz University of Technology.  ... 
doi:10.1007/s00502-018-0630-7 fatcat:5jm7xvhhcjaw5jz3qbha4ob3ry

Metrics for human driving of multiple robots

D.R. Olsen, S.B. Wood, J. Turner
2004 IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004  
This provides leverage for human attention beyond single robot interaction. The number of such robots that can be operated is called the fan-out of a humanrobot team.  ...  A goal of human-robot interaction is to expand the capability of human beings so that they can control multiple robots simultaneously.  ...  MEASURING HUMAN ROBOT INTERACTION Given the definition of our model, we now look at how to use the model to measure the quality of the human robot interface. A.  ... 
doi:10.1109/robot.2004.1307407 dblp:conf/icra/OlsenWT04 fatcat:bh6qy4b7vzc4jm2j3snjjelz7m

Help through demonstration and automation for interactive computing systems: A survey of recent works

Pedro Rodrigues, Jose Luis Silva
2021 International Journal of Power Electronics and Drive Systems (IJPEDS)  
Usability is very important however, it is still difficult to develop interactive computing systems that meet all user's specificities. Help systems should be a way of bridging this gap.  ...  This paper presents a general survey on recent works (building upon previous surveys) related to improving applications' help through demonstration and automation and, identifies which technologies are  ...  The authors would like to thank Rúben Pereira for the given support.  ... 
doi:10.11591/ijece.v11i2.pp1549-1560 fatcat:jo3xbtsyenamtkckm6mauvhnve

Self-Supervised Action-Space Prediction for Automated Driving [article]

Faris Janjoš, Maxim Dolgov, J. Marius Zöllner
2021 arXiv   pre-print
In this paper, we present a novel learned multi-modal trajectory prediction architecture for automated driving.  ...  The proposed methods are evaluated on real-world datasets containing urban intersections and roundabouts, and show accurate predictions, outperforming state-of-the-art for kinematically feasible predictions  ...  Historically, most of the interest in human driving behavior and vehicle trajectory prediction has been shown in the context of driver assistance systems that employed classical robotics methods such as  ... 
arXiv:2109.10024v1 fatcat:5n3w2pezwvgdddwlz4xxhr5yea

Indirect Shared Control of Highly Automated Vehicles for Cooperative Driving between Driver and Automation [article]

Renjie Li, Yanan Li, Shengbo Eben Li, Etienne Burdet, Bo Cheng
2017 arXiv   pre-print
Unlike any conventional driver model for manual driving, this model assumes that the driver can learn and incorporate the controller strategy into his internal model for more accurate path following.  ...  This paper first balances the control objectives of the driver and automation in a weighted summation, and then models the driver's adaptive control behavior using a predictive control approach.  ...  The mechanism of haptic shared control has been studied in other fields such as human-robot interaction [18] - [20] where it is referred to as "motor interaction" or "joint motor action" [21] , [22  ... 
arXiv:1704.00866v1 fatcat:tzp5qp2sqfhs5ny6ircycec5km

Pedestrian Behavior Prediction for Automated Driving: Requirements, Metrics, and Relevant Features [article]

Michael Herman, Jörg Wagner, Vishnu Prabhakaran, Nicolas Möser, Hanna Ziesche, Waleed Ahmed, Lutz Bürkle, Ernst Kloppenburg, Claudius Gläser
2021 arXiv   pre-print
Based on human driving behavior we then derive appropriate reaction patterns of an automated vehicle and determine requirements for the prediction of pedestrians.  ...  In this paper, we thoroughly analyze the requirements on pedestrian behavior prediction for automated driving via a system-level approach.  ...  In detail, the contributions of the paper are: • An appropriate system reaction pattern for interactions of an automated vehicle with pedestrians is derived from an analysis of human driving behavior.  ... 
arXiv:2012.08418v2 fatcat:x5lk22k5tnauphp5vsriktgyoa

A Review on Scene Prediction for Automated Driving

Anne Stockem Stockem Novo, Martin Krüger, Marco Stolpe, Torsten Bertram
2022 Physics  
Towards the aim of mastering level 5, a fully automated vehicle needs to be equipped with sensors for a 360∘ surround perception of the environment.  ...  This way, a safe and smooth driving experience can be guaranteed. The complex spatio-temporal dependencies and high dynamics are some of the biggest challenges for scene prediction.  ...  Or shorter: How accurate is accurate enough?  ... 
doi:10.3390/physics4010011 fatcat:4rbh64feprdnrflcf4ydyyre4a

Neural network vehicle models for high-performance automated driving

Nathan A. Spielberg, Matthew Brown, Nitin R. Kapania, John C. Kegelman, J. Christian Gerdes
2019 Science Robotics  
These findings suggest that the network structure merits further investigation as the basis for model-based control of automated vehicles over their full operating range.  ...  More notably, when trained on a combination of data from dry roads and snow, the model was able to make appropriate predictions for the road surface on which the vehicle was traveling without the need  ...  The question of how comparable models could be developed for on-road automated vehicles then naturally arises.  ... 
doi:10.1126/scirobotics.aaw1975 pmid:33137751 fatcat:dk55fitiurg57o3fn6lishpuda

A human factors approach to validating driver models for interaction-aware automated vehicles

Olger Siebinga, Arkady Zgonnikov, David Abbink
2022 ACM Transactions on Human-Robot Interaction (THRI)  
In this paper, we argue that besides evaluating the interactive capabilities of IACs, their underlying driver models should be validated on natural human driving behavior.  ...  We believe that our workflow will support the development of appropriate driver models for future automated vehicles.  ...  Ltd. for funding this work and we especially thank Daniel Gra for his valuable feedback and contributions to the article.  ... 
doi:10.1145/3538705 fatcat:iuvsika3arcvplre77flftorae

Human–Vehicle Integration in the Code of Practice for Automated Driving

Stefan Wolter, Giancarlo Caccia Dominioni, Sebastian Hergeth, Fabio Tango, Stuart Whitehouse, Frederik Naujoks
2020 Information  
It provides the developer with a comprehensive guideline on how to design and test automated driving functions, with a focus on highway driving and parking.  ...  The challenges of Level 3 automation make it necessary to create a new Code of Practice for automated driving (CoP-AD) as part of the public-funded European project L3Pilot.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/info11060284 fatcat:uxev72ys3bgezoqbjmuvk5hqae

What Timing for an Automated Vehicle to Make Pedestrians Understand Its Driving Intentions for Improving Their Perception of Safety? [article]

Hailong Liu, Takatsugu Hirayama, Luis Yoichi Morales, Hiroshi Murase
2020 arXiv   pre-print
To increase the popularity of automated vehicles (AVs), assisting pedestrians to accurately understand the driving intentions and improving their perception of safety when interacting with AVs are considered  ...  Although automated driving systems have been used frequently, they are still unpopular in society.  ...  A robotic wheelchair-WHILL Model CR ( Fig. 3 ) was used as an experimental vehicle to interact with the participants during their walk.  ... 
arXiv:2003.00689v4 fatcat:x4ljdnmqdbcz3ix4pe6lw75zam

Deployment Scenarios for Vehicles with Higher-Order Automation [chapter]

Sven Beiker
2016 Autonomous Driving  
, giving rise to new use cases and business models and an altered set of transportation behavior.  ...  Automated vehicles' reduced need for human resources is anticipated to boost profits [38] , though it would be accompanied by a reduction in employment in the sector.  ... 
doi:10.1007/978-3-662-48847-8_10 fatcat:j5hbazaxmjcepf4xus7z4fes3q

Metaphors to Drive By: Exploring New Ways to Guide Human - Robot Interaction

David J. Bruemmer, David I. Gertman, Curtis W. Nielsen
2007 Open Cybernetics and Systemics Journal  
Furthermore, we illustrate how recognition of problems in human-robot interactions can drive the creation of new metaphors for design and how human factors lessons in usability, human performance, and  ...  Although autonomy has the potential to reduce overall workload, the use of robot behaviors often increased the complexity of the underlying interaction metaphor.  ...  The joystick metaphor is appropriate for an interaction model where the human directly controls robot motion.  ... 
doi:10.2174/1874110x07010150x0 fatcat:ptklbf63nfdepftctwdqctrfau
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