Estimating helmet wearing rates via a scalable, low-cost algorithm: a novel integration of deep learning and google street view.

Journal: BMC public health
PMID: 38902622

Abstract

INTRODUCTION: Wearing a helmet reduces the risk of head injuries substantially in the event of a motorcycle crash. Countries around the world are committed to promoting helmet use, but the progress has been slow and uneven. There is an urgent need for large-scale data collection for situation assessment and intervention evaluation.

Authors

  • Qingfeng Li
    Shanghai United Imaging Intelligence Co., Ltd., Shanghai, 201807, China.
  • Xianglong Wang
    Biomedical Engineering, College of Engineering, University of Michigan - Ann Arbor, Ann Arbor, MI, USA.
  • Abdulgafoor M Bachani
    Johns Hopkins International Injury Research Unit, Health Systems Program, Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.

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