Signaling Yielding Intent with eHMIs: the Timing Determines an Efficient Crossing

Author:

Şahin Hatice1,Daudrich Kevin1,Müller Heiko1,Boll Susanne CJ1

Affiliation:

1. University of Oldenburg, Germany

Publisher

ACM

Reference13 articles.

1. The Effects of Explicit Intention Communication, Conspicuous Sensors, and Pedestrian Attitude in Interactions with Automated Vehicles

2. Distance-Dependent eHMIs for the Interaction Between Automated Vehicles and Pedestrians

3. André Dietrich M Tondera and K Bengler. 2020. Automated vehicles in urban traffic: the effect ofkinematics and eHMIs on pedestrian crossing behavior.Advances in Transportation Studies(2020). André Dietrich M Tondera and K Bengler. 2020. Automated vehicles in urban traffic: the effect ofkinematics and eHMIs on pedestrian crossing behavior.Advances in Transportation Studies(2020).

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1. Learning in Mixed Traffic: Drivers’ Adaptation to Ambiguous Communication Depending on Their Expectations toward Automated and Manual Vehicles;International Journal of Human–Computer Interaction;2023-06-29

2. I See You! Design Factors for Supporting Pedestrian-AV Interaction at Crosswalks;Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction;2023-03-13

3. “I am going this way”: Gazing Eyes on Self-Driving Car Show Multiple Driving Directions;Proceedings of the 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications;2022-09-17

4. Extracting Triangular 3D Models, Materials, and Lighting From Images;2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2022-06

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