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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
Summary
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.
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.
