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 i...

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Bibliographic Details
Main Authors: Khazar Dargahi Nobari, Torsten Bertram
Format: Article
Language:English
Published: Nature Portfolio 2024-03-01
Series:Scientific Data
Online Access:https://doi.org/10.1038/s41597-024-03137-y