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Driver Anomaly Detection: A Dataset and Contrastive Learning Approach

Driver Anomaly Detection: A Dataset and Contrastive Learning Approach

30 September 2020
Okan Kopuklu
Ji-ming Zheng
Hang Xu
Gerhard Rigoll
ArXivPDFHTML

Papers citing "Driver Anomaly Detection: A Dataset and Contrastive Learning Approach"

12 / 12 papers shown
Title
Automated Data Curation Using GPS & NLP to Generate Instruction-Action Pairs for Autonomous Vehicle Vision-Language Navigation Datasets
Automated Data Curation Using GPS & NLP to Generate Instruction-Action Pairs for Autonomous Vehicle Vision-Language Navigation Datasets
Guillermo Roque
Erika Maquiling
Jose Giovanni Tapia Lopez
Ross Greer
118
0
0
06 May 2025
CLOC: Contrastive Learning for Ordinal Classification with Multi-Margin N-pair Loss
CLOC: Contrastive Learning for Ordinal Classification with Multi-Margin N-pair Loss
D. Pitawela
Gustavo Carneiro
Hsiang-Ting Chen
48
0
0
22 Apr 2025
Automated Vehicle Driver Monitoring Dataset from Real-World Scenarios
Automated Vehicle Driver Monitoring Dataset from Real-World Scenarios
Mohamed Sabry
Walter Morales-Alvarez
Cristina Olaverri-Monreal
20
0
0
19 Aug 2024
Density-Guided Label Smoothing for Temporal Localization of Driving
  Actions
Density-Guided Label Smoothing for Temporal Localization of Driving Actions
Tunç Alkanat
Erkut Akdag
Egor Bondarev
Peter H. N. de With
33
4
0
11 Mar 2024
On Transferability of Driver Observation Models from Simulated to Real
  Environments in Autonomous Cars
On Transferability of Driver Observation Models from Simulated to Real Environments in Autonomous Cars
Walter Morales-Alvarez
N. Certad
Alina Roitberg
Rainer Stiefelhagen
Cristina Olaverri-Monreal
26
2
0
31 Jul 2023
Skeletal Video Anomaly Detection using Deep Learning: Survey, Challenges
  and Future Directions
Skeletal Video Anomaly Detection using Deep Learning: Survey, Challenges and Future Directions
Pratik K. Mishra
Alex Mihailidis
Shehroz S. Khan
28
17
0
31 Dec 2022
Anomaly Detection in Driving by Cluster Analysis Twice
Anomaly Detection in Driving by Cluster Analysis Twice
Chung-Hao Lee
Yen-Fu Chen
17
0
0
15 Dec 2022
Detecting Driver Drowsiness as an Anomaly Using LSTM Autoencoders
Detecting Driver Drowsiness as an Anomaly Using LSTM Autoencoders
Gülin Tüfekci
Alper Kayabasi
Erdem Akagündüz
ilkay Ulusoy
UQCV
19
3
0
12 Sep 2022
Unsupervised Anomaly Detection from Time-of-Flight Depth Images
Unsupervised Anomaly Detection from Time-of-Flight Depth Images
Pascal Schneider
J. Rambach
B. Mirbach
D. Stricker
19
7
0
02 Mar 2022
TIMo -- A Dataset for Indoor Building Monitoring with a Time-of-Flight
  Camera
TIMo -- A Dataset for Indoor Building Monitoring with a Time-of-Flight Camera
Pascal Schneider
Yuriy Anisimov
Raisul Islam
B. Mirbach
J. Rambach
Frédéric Grandidier
D. Stricker
MDE
8
10
0
27 Aug 2021
DriverMHG: A Multi-Modal Dataset for Dynamic Recognition of Driver Micro
  Hand Gestures and a Real-Time Recognition Framework
DriverMHG: A Multi-Modal Dataset for Dynamic Recognition of Driver Micro Hand Gestures and a Real-Time Recognition Framework
Okan Kopuklu
Thomas Ledwon
Yao Rong
Neslihan Köse
Gerhard Rigoll
32
23
0
02 Mar 2020
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
264
5,326
0
05 Nov 2016
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