Embodied Intelligence Observer

PRISM: An Agentic Multi-Model Architecture for Proactive Safety in Autonomous Transportation Systems

ResearchAI 55

Source: arXiv cs.LGPublish time unverified

arXiv:2609.01623v1 Announce Type: cross Abstract: Autonomous and intelligent transportation systems operate in complex urban environments where safety depends on interactions among vehicle behavior, environmental conditions, and vulnerable road users (VRUs) such as pedestrians and cyclists. Most advanced driver assistance systems (ADAS) employ reactive mechanisms that activate only after hazards have emerged, a critical limitation underscored by rising VRU fatalities in the United States.

PRISM: An Agentic Multi-Model Architecture for Proactive Safety in Autonomous Transportation Systems | Embodied Intelligence Observer