PRISA: Proactive Infrastructure LiDAR Framework for Intersection Safety Assessment
Urban intersections are among the most hazardous locations in road networks, posing significant risks to vehicles and vulnerable road users (VRUs) such as pedestrians and cyclists. The complexity of multi-agent interactions demands continuous, real-time monitoring systems capable of anticipating conflicts before they escalate into crashes. We present PRISA, a modular infrastructure LiDAR framework leveraging privacy-preserving, low-light-robust roadside sensors for long-term traffic observation and real-time risk detection at the edge. The framework comprises two core components: a sensing and
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- FuzzyOverlapping authors or contributors · 62%open-webui/open-webui →
“Shared author/contributor keys: nguyen”
- LinkedLinked via arxiv author · 85%Tam Bang →
“PRISA: Proactive Infrastructure LiDAR Framework for Intersection Safety Assessment”
- LinkedLinked via arxiv author · 85%Hussam Abubakr →
“PRISA: Proactive Infrastructure LiDAR Framework for Intersection Safety Assessment”
- LinkedLinked via arxiv author · 85%Emiliano de la Garza Villarreal →
“PRISA: Proactive Infrastructure LiDAR Framework for Intersection Safety Assessment”
- LinkedLinked via arxiv author · 85%Truc Phuong Nguyen →
“PRISA: Proactive Infrastructure LiDAR Framework for Intersection Safety Assessment”
- LinkedLinked via arxiv author · 85%Austin Harris →
“PRISA: Proactive Infrastructure LiDAR Framework for Intersection Safety Assessment”
- LinkedLinked via arxiv author · 85%Toru Hirano →
“PRISA: Proactive Infrastructure LiDAR Framework for Intersection Safety Assessment”
- LinkedLinked via arxiv author · 85%Mina Sartipi →
“PRISA: Proactive Infrastructure LiDAR Framework for Intersection Safety Assessment”