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PRISM: An Agentic Multi-Model Architecture for Proactive Safety in Autonomous Transportation Systems
computer-vision-and-pattern-recognitionemerging-technologiesmachine-learningmultiagent-systemsphysics-and-society
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 reac
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