A multimodal driver monitoring benchmark dataset for driver modeling in assisted driving automation.

ABSTRACT: In driver monitoring various data types are collected from drivers and used for interpreting, modeling, and predicting driver behavior, and designing interactions. Aim of this contribution is to introduce manD 1.0, a multimodal dataset that can be used as a benchmark for driver monitoring in the context of automated driving. manD is the short form of human dimension in automated driving. manD 1.0 refers to a dataset that contains data from multiple driver monitoring sensors collected from 50 participants, gender-balanced, aged between 21 to 65 years. They drove through five different driving scenarios in a static driving simulator under controlled laboratory conditions. The automation level (SAE International, Standard J3016) ranged from SAE L0 (no automation, manual) to SAE L3 (conditiona

SUBMITTER: Dargahi Nobari K 

PROVIDER: S-EPMC10981655 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature