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Honda vehicles used to proactively report road safety issues in nation-first pilot

Jan 30, 2026
A nation-first pilot used Honda vehicles to collect road-safety data across 3,000 miles of Ohio. The segment covers sensors like vision and LiDAR plus Edge AI and cloud pipelines. Automated workflows turned detections into prioritized work orders. Results, detection accuracy for signs, guardrails and potholes, cost-saving estimates, and plans to scale and enable anonymous consumer data sharing are discussed.
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INSIGHT

Cars Acting As Mobile Road Inspectors

  • Honda vehicles used vision and LiDAR sensors plus Edge AI to detect road issues like damaged signs, guardrails, rough roads, and potholes in real time.
  • The system processed data to Honda's cloud and auto-generated prioritized work orders for ODOT maintenance teams.
ANECDOTE

3,000-Mile Ohio Pilot Test

  • The Ohio Department of Transportation drove test vehicles over about 3,000 miles across urban and rural central and southeastern Ohio during the pilot.
  • University of Cincinnati helped fit sensors and develop the damage detection feature for the trial.
INSIGHT

High Detection Accuracy In Trial

  • The prototype achieved up to 99% accuracy for damaged or obstructed signs, 93% for guardrails, and 89% for potholes during the trial.
  • It also reliably measured road roughness and detected high-severity shoulder drop-offs often missed in visual checks.
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