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Creating Kinematics-dependent Pedestrian Crossing Willingness Model When Interacting with Approaching Vehicle
2020
2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC)
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vehicles through the kinematics model of crossing scenario. ...
It was also found that pedestrians have maximum willingness to cross the street when this stimulus is beyond the perception threshold. ...
pedestrians were willing to cross the road when the vehicle approaches at a higher speed. ...
doi:10.1109/itsc45102.2020.9294430
fatcat:udxtaevokvdghjvf7krdtqv4aa
Toward a Holistic Communication Approach to an Automated Vehicle's Communication With Pedestrians: Combining Vehicle Kinematics With External Human-Machine Interfaces for Differently Sized Automated Vehicles
2022
Frontiers in Psychology
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Therefore, this study focused on how the interplay of vehicle kinematics and eHMI affects pedestrians' willingness to cross, trust and perceived safety for the interaction with two differently sized AVs ...
Regarding the interplay of vehicle kinematics and eHMI, results indicated that a dynamic eHMI increased pedestrians' perceived safety when the vehicle yielded. ...
Hypothesis 4 (H4): The effect of vehicle kinematics on pedestrians' willingness to cross, trust and perceived safety differs depending on the eHMI status for the interaction with both vehicle sizes. ...
doi:10.3389/fpsyg.2022.882394
fatcat:z4j7vemyxnfgzmdmknqtjqub6y
On Social Interactions and the Emergence of Autonomous Vehicles
2018
Proceedings of the 4th International Conference on Vehicle Technology and Intelligent Transport Systems
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For instance, pedestrians seek for an eye contact before crossing the road, drivers seek for a gesture before starting a manoeuvre, and so forth. ...
Other questions also arise such whether people will accept the idea of trusting self-driving vehicles, or whether will they feel safe when walking amongst such machines. ...
A simulation model for pedestrian-vehicle interactions at unsignalised mid-block cross walks captures the behaviour of both vehicles and pedestrians when approaching unsignalised interactions. ...
doi:10.5220/0006763004230430
dblp:conf/vehits/JorgeR18
fatcat:gwklwocf6rbktnxcl2pj63ynsa
Communicating the intention of an automated vehicle to pedestrians: The contributions of eHMI and vehicle behavior
2020
it - Information Technology
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vehicle affect the perception of the vehicle intent and interact with the impact of an eHMI. ...
AbstractExternal Human-Machine Interfaces (eHMIs) are expected to bridge the communication gap between an automated vehicle (AV) and pedestrians to replace the missing driver-pedestrian interaction. ...
Pedestrians' gaze patterns Previous research showed that a distinct pattern exists in the gaze behavior of pedestrians when interacting with an approaching manually-driven vehicle [11] -pedestrians looked ...
doi:10.1515/itit-2020-0025
fatcat:5nay54umqzerpdyrs3hnz6kily
Vehicle Automation-Other Road User Communication and Coordination: Theory and Mechanisms
2020
IEEE Access
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INDEX TERMS Human factors, automation, autonomous vehicles, human-robot interaction, pedestrian. 19860 This work is licensed under a Creative Commons Attribution 4.0 License. ...
This created a need for new infrastructure, vehicle design, and social norms to mitigate their negative effects on society. ...
Interactions characterize the how, when, and where of algorithmsthe changes in the algorithm over time depending on the environment. ...
doi:10.1109/access.2020.2969233
fatcat:qw4pmz54xrgtpcphpc3nyegx5m
Pedestrian Trust in Automated Vehicles: Role of Traffic Signal and AV Driving Behavior
2019
Frontiers in Robotics and AI
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Pedestrians' acceptance of automated vehicles (AVs) depends on their trust in the AVs. We developed a model of pedestrians' trust in AVs based on AV driving behavior and traffic signal presence. ...
To empirically verify this model, we conducted a human-subject study with 30 participants in a virtual reality environment. ...
FUNDING Toyota Research Institute (TRI) provided funds to assist the authors with their research, but this article solely reflects the opinions and conclusions of its authors and not TRI or any other Toyota ...
doi:10.3389/frobt.2019.00117
pmid:33501132
pmcid:PMC7805667
fatcat:in2igycph5avbhp7ybdcoy6wuq
eHMI: Review and Guidelines for Deployment on Autonomous Vehicles
2021
Sensors
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This review provides further insight into the specific issue of the information flow between pedestrians and automated vehicles by evaluating recent advances in external human–machine interfaces (eHMI) ...
Human–machine interaction is an active area of research due to the rapid development of autonomous systems and the need for communication. ...
In Germany, when the right-of-way has priority for pedestrians, there is a very high willingness on the part of drivers to yield to pedestrians. ...
doi:10.3390/s21092912
pmid:33919209
fatcat:wheqo45ftfflpkinxlg4nj6ivm
Interactions Between Heavy Trucks and Vulnerable Road Users—A Systematic Review to Inform the Interactive Capabilities of Highly Automated Trucks
2022
Frontiers in Robotics and AI
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This study investigates interactive behaviors and communication cues of heavy goods vehicles (HGVs) and vulnerable road users (VRUs) such as pedestrians and cyclists as a means of informing the interactive ...
Compared to corresponding scenarios with light vehicles, HGV-VRU interaction patterns are to a high extent formed by the HGV's size, shape and weight. ...
In a test track experiment, Schindler and Bianchi Piccinini (2021) found that truck drivers adapted their kinematic and visual behavior in a crossing when pedestrians and cyclists were present. ...
doi:10.3389/frobt.2022.818019
pmid:35316985
pmcid:PMC8934416
fatcat:iam7aesqhvaarmm2cxwy2g6n3q
Proactive-cooperative Navigation in Human-like Environment for Autonomous Robots
2020
Proceedings of the 17th International Conference on Informatics in Control, Automation and Robotics
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Contrary to other control strategies that simply aim to passively avoid neighboring pedestrians, this approach aims to simplify the navigation task of a robot by looking for cooperation with humans, especially ...
The Extended Headed Social Force Model with Collision Prediction (EHSFM with CP) is used to predict the human motion. ...
In this paper, we use a kinematic and nonholonomic model for our robot but any other model can be used. ...
doi:10.5220/0009822004120419
dblp:conf/icinco/JinSM20
fatcat:b5nvwshv2vegdofajphxrkf5du
Analyzing and Modeling Drivers' Deceleration Behavior from Normal Driving
2017
Transportation Research Record
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An efficient approach in designing (semi)autonomous vehicle would be to monitor and identify how human drivers perform the driving tasks and then analyse and characterise such behaviours with the aim of ...
Most research in vehicle automation has mainly focused on the safety aspect with only limited studies on occupants' discomfort. ...
(e.g. other vehicles, pedestrians, cyclists). ...
doi:10.3141/2663-17
fatcat:nor6suuttrfippvkfrbtbi47mi
Understanding vehicular traffic behavior from video: a survey of unsupervised approaches
2013
Journal of Electronic Imaging (JEI)
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Research has shifted from high-resolution estimation of vehicle state and instead, pushed machine learning approaches to extract meaningful patterns in aggregates in an unsupervised fashion. ...
The review focuses on two main methods for scene description, trajectory clustering and topic modeling. Example applications that utilize the behavioral modeling techniques are also presented. ...
The clips contain both vehicle traffic at a four-way signalized intersection and pedestrians on three zebra crossings. ...
doi:10.1117/1.jei.22.4.041113
fatcat:ftd2elgj5vd4vaada3hxfsfiby
Methods of Generating Emotional Movements and Methods of Transmitting Behavioral Intentions: A Perspective on Human-Coexistence Robots
2022
Sensors
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Specifically, the application of Laban movement analysis, the development from the circumplex model of affect, and the imitation of human movements are discussed. ...
[128] investigated the effect of the eHMI (external human-machine interface) of an approaching vehicle on the intention of pedestrians crossing the road by virtual reality experiments using an HMD. ...
[123] installed an RGB-LED string with a length of 1 m on the upper part of the windshield of an autonomous vehicle as an AVIP (automated vehicle interaction principle). ...
doi:10.3390/s22124587
pmid:35746365
pmcid:PMC9227009
fatcat:ocdohjujz5fdlly3a3dropd7xu
Computer vision in roadway transportation systems: a survey
2013
Journal of Electronic Imaging (JEI)
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The kinematics are then combined into a vehicle model by using a data fusion algorithm. ...
Nonimaging kinematic data are acquired from a steering angle sensor and an angular speed sensor mounted on Fig. 1 Distance to lane crossing model from Ref. 6 . ...
doi:10.1117/1.jei.22.4.041121
fatcat:chkul4gryvawrbxhaagxhkrita
Algorithmic Decision-Making in AVs: Understanding Ethical and Technical Concerns for Smart Cities
2019
Sustainability
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Autonomous Vehicles (AVs) are increasingly embraced around the world to advance smart mobility and more broadly, smart, and sustainable cities. ...
However, algorithmic decision-making in AVs can also introduce new issues that create new safety risks and perpetuate discrimination. ...
• Communicate uncertainties across all software components and estimate overall system uncertainty [77] . • Expand research on modelling human-vehicle interactions [126, 128] . ...
doi:10.3390/su11205791
fatcat:6lbowurczjdlpbgepytwrvahei
5g-routes: D1.7 Testing framework for the technological and business validation and benchmarking of the results
[article]
2022
Zenodo
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, including 3 cycles for the technical validation, with 2 local trial cycles for 3GPP R16 and R17 and one wider large scale trial cycle covering the whole corridor. ...
The 5G-ROUTES project will conduct advanced field trials of most representative and innovative CCAM applications seamlessly functioning across a designated 5G cross-border corridor (Riga-Valga-Tallinn-Helsinki ...
Information provided by roadside sensors with efficient timing and content will improve the vehicle perception and can be seen as additional sensors. ...
doi:10.5281/zenodo.6345841
fatcat:qed2ep3dpbarpeuxutvitm6234
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