I See Your Gesture: A VR-Based Study of Bidirectional Communication between Pedestrians and Automated Vehicles
Automated vehicles (AVs) are able to detect pedestrians reliably but still have difficulty in predicting pedestrians’ intentions from their implicit body language. This study examined the effects of using explicit hand gestures and receptive external human-machine interfaces (eHMIs) in the interacti...
Saved in:
Main Authors: | Michael R. Epke, Lars Kooijman, Joost C. F. de Winter |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2021-01-01
|
Series: | Journal of Advanced Transportation |
Online Access: | http://dx.doi.org/10.1155/2021/5573560 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Exploring the Impact of eHMI Display Location and Vehicle Type on Pedestrian Perceptions: A VR User Study
by: Nianzhao Zheng, et al.
Published: (2025-01-01) -
A Modified Total Crossing Time Model of Bidirectional Pedestrians at Signalized Crosswalks
by: Zhanzhong Wang, et al.
Published: (2017-01-01) -
RETRACTED: Approaches to automating VR applications porting using common techniques
by: Kugurakova Vlada, et al.
Published: (2024-01-01) -
Implementation and Testing of V2I Communication Strategies for Emergency Vehicle Priority and Pedestrian Safety in Urban Environments
by: Federica Oliva, et al.
Published: (2025-01-01) -
Design of a Bidirectional Antenna inside a Vehicle and Measurement of Power Link for Vehicle-to-Vehicle Communication at 5.8 GHz
by: Soon-Soo Oh, et al.
Published: (2018-01-01)