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Real-Time Driver State Monitoring Using a CNN Based Spatio-Temporal
  Approach

Real-Time Driver State Monitoring Using a CNN Based Spatio-Temporal Approach

18 July 2019
Neslihan Köse
Okan Kopuklu
A. Unnervik
Gerhard Rigoll
ArXivPDFHTML

Papers citing "Real-Time Driver State Monitoring Using a CNN Based Spatio-Temporal Approach"

9 / 9 papers shown
Title
DSDFormer: An Innovative Transformer-Mamba Framework for Robust
  High-Precision Driver Distraction Identification
DSDFormer: An Innovative Transformer-Mamba Framework for Robust High-Precision Driver Distraction Identification
Junzhou Chen
Zirui Zhang
Jing Yu
Heqiang Huang
Ronghui Zhang
Xuemiao Xu
Bin Sheng
Hong Yan
Mamba
45
1
0
09 Sep 2024
Enhancing Cross-Dataset Performance of Distracted Driving Detection With Score Softmax Classifier And Dynamic Gaussian Smoothing Supervision
Enhancing Cross-Dataset Performance of Distracted Driving Detection With Score Softmax Classifier And Dynamic Gaussian Smoothing Supervision
Cong Duan
Zixuan Liu
Jiahao Xia
Minghai Zhang
Jiacai Liao
Libo Cao
29
3
0
08 Oct 2023
Vision-Language Models can Identify Distracted Driver Behavior from
  Naturalistic Videos
Vision-Language Models can Identify Distracted Driver Behavior from Naturalistic Videos
Md Zahid Hasan
Jiajing Chen
Jiyang Wang
Mohammed Shaiqur Rahman
Ameya Joshi
Senem Velipasalar
C. Hegde
Anuj Sharma
S. Sarkar
VLM
46
18
0
16 Jun 2023
Hands-Up: Leveraging Synthetic Data for Hands-On-Wheel Detection
Hands-Up: Leveraging Synthetic Data for Hands-On-Wheel Detection
Paul Yudkin
Eli Friedman
Orly Zvitia
Gil Elbaz
3DH
7
5
0
31 May 2022
A Comparative Analysis of Decision-Level Fusion for Multimodal Driver
  Behaviour Understanding
A Comparative Analysis of Decision-Level Fusion for Multimodal Driver Behaviour Understanding
Alina Roitberg
Kunyu Peng
Zdravko Marinov
C. Seibold
David Schneider
Rainer Stiefelhagen
9
17
0
10 Apr 2022
Artificial Intelligence Methods in In-Cabin Use Cases: A Survey
Artificial Intelligence Methods in In-Cabin Use Cases: A Survey
Yao Rong
Chao Han
Christian Hellert
Antje Loyal
Enkelejda Kasneci
29
16
0
06 Jan 2021
Driver Anomaly Detection: A Dataset and Contrastive Learning Approach
Driver Anomaly Detection: A Dataset and Contrastive Learning Approach
Okan Kopuklu
Ji-ming Zheng
Hang Xu
Gerhard Rigoll
21
79
0
30 Sep 2020
DMD: A Large-Scale Multi-Modal Driver Monitoring Dataset for Attention
  and Alertness Analysis
DMD: A Large-Scale Multi-Modal Driver Monitoring Dataset for Attention and Alertness Analysis
J. Ortega
Neslihan Köse
P. Cañas
Min-An Chao
A. Unnervik
Marcos Nieto
Oihana Otaegui
L. Salgado
13
91
0
27 Aug 2020
Driver Behavior Recognition via Interwoven Deep Convolutional Neural
  Nets with Multi-stream Inputs
Driver Behavior Recognition via Interwoven Deep Convolutional Neural Nets with Multi-stream Inputs
Chaoyun Zhang
Rui Li
Woojin Kim
Daesub Yoon
P. Patras
31
49
0
22 Nov 2018
1