A machine learning framework for automated accident detection based on multimodal sensors in cars

HIGHLIGHTS

• who: Hawzhin Hozhabr Pour et al. from the Research Group of Operating Systems and Distributed Systems, University of Siegen, Hu00f6lderlinstr3, Katowice, Poland have published the research: A Machine Learning Framework for Automated Accident Detection Based on Multimodal Sensors in Cars, in the Journal: Sensors 2022, 22, 3634. of /2022/
• what: The authors propose ML framework for car on mutimodal in-car the work is unique and innovative study on detecting real-world driving accidents by applying state-of-the-art feature extraction methods using basic in cars Due to the diversity of research goals, applications . . .
  

   

  

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