A deep dive into enhancing sharing of naturalistic driving data through face deidentification
Surendrabikram Thapa,
Abhijit Sarkar
Abstract:Human factors research in transportation relies on naturalistic driving studies (NDS) which collect real-world data from drivers on actual roads. NDS data offer valuable insights into driving behavior, styles, habits, and safety-critical events. However, these data often contain personally identifiable information (PII), such as driver face videos, which cannot be publicly shared due to privacy concerns. To address this, our paper introduces a comprehensive framework for deidentifying drivers’ face videos, tha… Show more
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