Artificial Intelligence-Driven All-Terrain Vehicle Crash Prediction and Prevention System.

Journal: Journal of agricultural safety and health
PMID: 40079959

Abstract

HIGHLIGHTS: An AI-driven system for predicting and preventing ATV crashes was developed. Machine learning model achieved rollover prediction accuracy of over 99%. The system has the potential to significantly reduce ATV-related injuries and fatalities by enabling preemptive actions.

Authors

  • Farzaneh Khorsandi
    Department of Biological and Agricultural Engineering, University of California, Davis, California, USA.
  • Guilherme De Moura Araujo
    Department of Biological and Agricultural Engineering, University of California, Davis, California, USA.
  • Fernando Ferrei
    Department of Biological and Agricultural Engineering, University of California, Davis, California, USA.

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