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How accurate models of human behavior are needed for human-robot interaction? For automated driving?
[article]
2022
arXiv
pre-print
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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]
2022
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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
2018
e & i Elektrotechnik und Informationstechnik
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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
2004
IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004
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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
2021
International Journal of Power Electronics and Drive Systems (IJPEDS)
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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]
2021
arXiv
pre-print
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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]
2017
arXiv
pre-print
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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]
2021
arXiv
pre-print
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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
2022
Physics
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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
2019
Science Robotics
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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
2022
ACM Transactions on Human-Robot Interaction (THRI)
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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
2020
Information
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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]
2020
arXiv
pre-print
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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]
2016
Autonomous Driving
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, 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
2007
Open Cybernetics and Systemics Journal
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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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