Low-Latency Embedded Driver Monitoring System with a Multi-Task Neural Network
DOI: 10.48550/arXiv.2605.02563
URL: https://arxiv.org/abs/2605.02563
archive: indexed pipeline: discovered
Abstract
A camera-based approach to derive useful indicators to assess driver attentiveness and alertness using a lightweight multi-task neural network that predicts multiple indicators for the face region in a single forward pass, integrated into a workflow that provides real-time estimates of attentiveness, fatigue, and engagement in distracting activities while meeting strict computational constraints. Presented at RAGE 2026 @ CPS-IoT Week 2026.
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Publisher: arxiv