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eHMI: Review and Guidelines for Deployment on Autonomous Vehicles.

Juan Carmona1, Carlos Guindel1, Fernando Garcia1

  • 1Intelligent Systems Lab, Universidad Carlos III de Madrid, 28903 Madrid, Spain.

Sensors (Basel, Switzerland)
|April 30, 2021
PubMed
Summary
This summary is machine-generated.

This review explores external human-machine interfaces (eHMI) for autonomous vehicles, focusing on how these systems communicate vehicle intent to pedestrians. It synthesizes recent eHMI developments and pedestrian feedback to guide future research.

Keywords:
autonomous vehiclesexternal human–machine interfacehuman–machine interfaceinteraction pedestrian–vehicle

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Area of Science:

  • Human-computer interaction
  • Autonomous systems
  • Traffic safety

Background:

  • Rapid advancement in autonomous systems necessitates effective communication strategies.
  • Understanding information flow between pedestrians and automated vehicles is crucial for safety.
  • External human-machine interfaces (eHMI) are key to transmitting vehicle state and intent.

Purpose of the Study:

  • To review recent advances in eHMI for autonomous vehicles.
  • To evaluate the effectiveness of eHMI based on pedestrian feedback.
  • To provide guidelines for future eHMI research and development.

Main Methods:

  • Literature review of recent eHMI technologies.
  • Analysis of studies using pedestrian feedback data.
  • Synthesis of findings to identify current trends and challenges.

Main Results:

  • Exploration of various eHMI designs and their functionalities.
  • Presentation of studies evaluating eHMI effectiveness with pedestrian input.
  • Contextualization of research findings within the broader field.

Conclusions:

  • Current eHMI techniques are evolving to improve vehicle-pedestrian communication.
  • Pedestrian feedback is essential for validating and refining eHMI systems.
  • Further research is needed to establish robust guidelines for eHMI development.