Rethinking External Communication of Autonomous Vehicles: Is the Field Converging, Diverging, or Stalling?

2026-02-06

AI Summary

This study addresses the lack of unified communication principles between autonomous vehicles and external road users, a domain whose research trajectory remains unclear. Through a bibliometric analysis of 620 academic papers, policy document interpretation, and cross-dimensional comparison, the work systematically integrates academic, industrial, and regulatory perspectives. It reveals, for the first time, a convergence on the overarching goal of “safety-first,” yet persistent divergence regarding the necessity and implementation of external communication. The study further uncovers a “filtering funnel” mechanism that mediates the transition from research to regulation. Notably, external communication signals are increasingly converging toward minimalistic visual cues, offering a critical direction for future efforts to shift toward evidence synthesis and adaptive frameworks.

Technology Category

• Multiagent Systems: Agent Communication
• Application Domains: Mobility, Driving & Flight
• Intelligent Robots: Multimodal Perception & Sensor Fusion

Application Category

• User Modeling, Personalization and Recommendation: Accountability, Transparency, and Ethics for personalization
• Responsible Web: Machine-in-the-loop, human agency and autonomy
• Security and Privacy: Data transparency and provenance

Abstract

As autonomous vehicles enter public spaces, external human-machine interfaces are proposed to support communication with external road users. A decade of research has produced hundreds of studies and reviews, yet it remains unclear whether the field is converging on shared principles or diverging across approaches. We present a multi-dimensional analysis of 620 publications, complemented by industry deployments and regulatory documents, to track research evolution and identify convergence. The analysis reveals several field-level patterns. First, convergence on a safety-first core: simple visual cues that clarify intent. Second, sustained divergence in necessity and implementation. Third, a progressive filtering funnel: broad exploration in research and concepts narrows in deployment and is codified by regulation into a minimal set of permitted signals. These insights point to a shift in emphasis for future work, from producing new prototypes toward consolidating evidence, clarifying points of contention, and developing frameworks that can adapt across contexts.

Problem

• autonomous vehicles
• external human-machine interfaces
• research convergence
• communication with road users
• safety communication

Innovation

• external human-machine interface
• autonomous vehicles
• convergence analysis
• regulatory standardization
• communication design