SZodixStudyAcademic Library

Shelves Open access

Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated

Deep unsupervised multi-modal fusion network for detecting driver distraction · Study

ArticleShelves

ArticleDeep unsupervised multi-modal fusion network for detecting driver distraction

Yuxin Zhang2020

Article2020

Deep unsupervised multi-modal fusion network for detecting driver distraction

Yuxin Zhang · Yiqiang Chen · Chenlong Gao

75 citations·0/0 files stored·Neurocomputing

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Human-Automation Interaction and Safety Context-Aware Activity Recognition Systems Autonomous Vehicle Technology and Safety

Abstract

No abstract was published for this record.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 75 citations exist upstream.

References

2011Driver Inattention Monitoring System for Intelligent Vehicles: A Review 2007Control Techniques for Complex Networks 2007Real-Time Detection of Driver Cognitive Distraction Using Support Vector Machines 2016Speech emotion recognition using convolutional and Recurrent Neural Networks 2019Driver Distraction Identification with an Ensemble of Convolutional Neural Networks 2013Various Approaches for Driver and Driving Behavior Monitoring: A Review 2010Model-Based Analysis and Classification of Driver Distraction Under Secondary Tasks 2007Driver Distraction Detection with a Camera Vision System

Cited by

2023Quantitative Identification of Driver Distraction: A Weakly Supervised Contrastive Learning Approach 2022Distracted driving detection based on the fusion of deep learning and causal reasoning 2024Integrating visual large language model and reasoning chain for driver behavior analysis and risk assessment

Related works

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

2021A survey on vision-based driver distraction analysisarticle · 5 shared references 2019Driver Inattention Detection in the Context of Next-Generation Autonomous Vehicles Design: A Surveyarticle · 5 shared references 2019Classification of Driver Distraction: A Comprehensive Analysis of Feature Generation, Machine Learning, and Input Measuresarticle · 4 shared references 2024Comprehensive study of driver behavior monitoring systems using computer vision and machine learning techniquesarticle · 4 shared references 2013Modeling of Driver Behavior in Real World Scenarios Using Multiple Noninvasive Sensorsarticle · 4 shared references 2017Driver Modeling for Detection and Assessment of Driver Distraction: Examples from the UTDrive Test Bedarticle · 4 shared references

Details

Year2020

Typearticle

Published2020-09-28

VenueNeurocomputing

ISSN-L0925-2312

Languageen

Citations75

Files0 public / 0

ShelfHuman-Automation Interaction and Safety

Identifiers

doi10.1016/j.neucom.2020.09.023

openalex_workW3089356117

Links

Imported from OpenAlex (CC0) — nothing here is generated.