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YOLO-Drive: Robust Driver Distraction Recognition under Fine-Grained and Overlapping Behaviors

Year: 2025

Type: article

Abstract: Accurately recognizing driver distraction is critical for preventing traffic accidents, yet current detection models face two persistent challenges. First, distractions are often fine-grained, involving subtle cues such as br... | Find, read and cite all the research you need on Tech Science Press

Source: Computers, materials & continua/Computers, materials & continua (Print)

DOI: 10.32604/cmc.2025.074899

Authors: Zhichao Yu, Jiahui Yu, Simon James Fong, Yaoyang Wu

Institutions: University of Macau, Macau Millennium College

Language: English

Topic: Human-Automation Interaction and Safety

Subfield: Social Psychology

Field: Psychology

Domain: Social Sciences

Open Access status: diamond

OpenAlex ID: W7117591485

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