Autonomous Vehicles: Vulnerable Road User Response to Visual Information Using an Analysis Framework for Shared Spaces

Walter Morales Alvarez; Cristina Olaverri-Monreal

Autonomous Vehicles: Vulnerable Road User Response to Visual Information Using an Analysis Framework for Shared Spaces

Walter Morales Alvarez, Cristina Olaverri-Monreal

Department Intelligent Transport Systems

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

Autonomous vehicles (AV) will directly impact pedestrian behavior at crosswalks, it is necessary to create communication protocols between the two that help build trust in the upcoming technology. We studied the effects of different communication paradigms focusing on the autonomous vehicle’s communication interface and developed an algorithm for the analysis of pedestrian behavioral patterns. We describe how we determined the impact of AV on vulnerable road users (VRUs) in shared spaces by analyzing specific parameters, such as the pose and distance of the pedestrian. Results showed that communication with VRUs based on visual cues is not necessarily required for shared spaces, in which informal traffic rules apply.

Original language	English
Title of host publication	Human Factors in Intelligent Vehicles
Editors	Cristina Olaverri-Monreal, Fernando García-Fernández, Rosaldo J. F. Rossetti
Publisher	River Publishers
Pages	83-107
Number of pages	25
ISBN (Print)	9788770222044
Publication status	Published - Oct 2020

Publication series

Name	River Publishers Series in Transport Technology

Fields of science

303 Health Sciences
303008 Ergonomics
201306 Traffic telematics
202031 Network engineering
202036 Sensor systems
202038 Telecommunications
202040 Transmission technology
203 Mechanical Engineering
211908 Energy research
211911 Sustainable technologies
102 Computer Sciences
102001 Artificial intelligence
102002 Augmented reality
102003 Image processing
102013 Human-computer interaction
102015 Information systems
102019 Machine learning
102021 Pervasive computing
102024 Usability research
102026 Virtual reality
102029 Practical computer science
102034 Cyber-physical systems
501026 Psychology of perception
501 Psychology
501025 Traffic psychology
201305 Traffic engineering
202 Electrical Engineering, Electronics, Information Engineering
202003 Automation
202030 Communication engineering
202034 Control engineering
202035 Robotics
202037 Signal processing
202041 Computer engineering
203004 Automotive technology
211902 Assistive technologies
211909 Energy technology
211917 Technology assessment
501030 Cognitive science

JKU Focus areas

Digital Transformation
Sustainable Development: Responsible Technologies and Management

Cite this

Morales Alvarez, W., & Olaverri-Monreal, C. (2020). Autonomous Vehicles: Vulnerable Road User Response to Visual Information Using an Analysis Framework for Shared Spaces. In Cristina Olaverri-Monreal, Fernando García-Fernández, Rosaldo J. F. Rossetti (Ed.), Human Factors in Intelligent Vehicles (pp. 83-107). (River Publishers Series in Transport Technology). River Publishers.

Morales Alvarez, Walter ; Olaverri-Monreal, Cristina. / Autonomous Vehicles: Vulnerable Road User Response to Visual Information Using an Analysis Framework for Shared Spaces. Human Factors in Intelligent Vehicles. editor / Cristina Olaverri-Monreal, Fernando García-Fernández, Rosaldo J. F. Rossetti. River Publishers, 2020. pp. 83-107 (River Publishers Series in Transport Technology).

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abstract = "Autonomous vehicles (AV) will directly impact pedestrian behavior at crosswalks, it is necessary to create communication protocols between the two that help build trust in the upcoming technology. We studied the effects of different communication paradigms focusing on the autonomous vehicle{\textquoteright}s communication interface and developed an algorithm for the analysis of pedestrian behavioral patterns. We describe how we determined the impact of AV on vulnerable road users (VRUs) in shared spaces by analyzing specific parameters, such as the pose and distance of the pedestrian. Results showed that communication with VRUs based on visual cues is not necessarily required for shared spaces, in which informal traffic rules apply.",

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year = "2020",

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Morales Alvarez, W & Olaverri-Monreal, C 2020, Autonomous Vehicles: Vulnerable Road User Response to Visual Information Using an Analysis Framework for Shared Spaces. in Cristina Olaverri-Monreal, Fernando García-Fernández, Rosaldo J. F. Rossetti (ed.), Human Factors in Intelligent Vehicles. River Publishers Series in Transport Technology, River Publishers, pp. 83-107.

Autonomous Vehicles: Vulnerable Road User Response to Visual Information Using an Analysis Framework for Shared Spaces. / Morales Alvarez, Walter; Olaverri-Monreal, Cristina.
Human Factors in Intelligent Vehicles. ed. / Cristina Olaverri-Monreal, Fernando García-Fernández, Rosaldo J. F. Rossetti. River Publishers, 2020. p. 83-107 (River Publishers Series in Transport Technology).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

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AU - Olaverri-Monreal, Cristina

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N2 - Autonomous vehicles (AV) will directly impact pedestrian behavior at crosswalks, it is necessary to create communication protocols between the two that help build trust in the upcoming technology. We studied the effects of different communication paradigms focusing on the autonomous vehicle’s communication interface and developed an algorithm for the analysis of pedestrian behavioral patterns. We describe how we determined the impact of AV on vulnerable road users (VRUs) in shared spaces by analyzing specific parameters, such as the pose and distance of the pedestrian. Results showed that communication with VRUs based on visual cues is not necessarily required for shared spaces, in which informal traffic rules apply.

AB - Autonomous vehicles (AV) will directly impact pedestrian behavior at crosswalks, it is necessary to create communication protocols between the two that help build trust in the upcoming technology. We studied the effects of different communication paradigms focusing on the autonomous vehicle’s communication interface and developed an algorithm for the analysis of pedestrian behavioral patterns. We describe how we determined the impact of AV on vulnerable road users (VRUs) in shared spaces by analyzing specific parameters, such as the pose and distance of the pedestrian. Results showed that communication with VRUs based on visual cues is not necessarily required for shared spaces, in which informal traffic rules apply.

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A2 - Cristina Olaverri-Monreal, Fernando García-Fernández, Rosaldo J. F. Rossetti, null

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Morales Alvarez W, Olaverri-Monreal C. Autonomous Vehicles: Vulnerable Road User Response to Visual Information Using an Analysis Framework for Shared Spaces. In Cristina Olaverri-Monreal, Fernando García-Fernández, Rosaldo J. F. Rossetti, editor, Human Factors in Intelligent Vehicles. River Publishers. 2020. p. 83-107. (River Publishers Series in Transport Technology).

Autonomous Vehicles: Vulnerable Road User Response to Visual Information Using an Analysis Framework for Shared Spaces

Abstract

Publication series

Fields of science

JKU Focus areas

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Cite this