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...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2024-03-01
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Series: | Scientific Data |
Online Access: | https://doi.org/10.1038/s41597-024-03137-y |