Comparing autoencoder-based approaches for anomaly detection in highway driving scenario images

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 2523-3971

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: Comparing autoencoder-based approaches for anomaly detection in highway driving scenario images ; volume:4 ; number:12 ; day:28 ; month:11 ; year:2022 ; pages:1-25 ; date:12.2022
SN applied sciences ; 4, Heft 12 (28.11.2022), 1-25, 12.2022

Classification: Ingenieurwissenschaften und Maschinenbau

Creator: Mosin, Vasilii
Staron, Miroslaw
Tarakanov, Yury
Durisic, Darko

Contributor: SpringerLink (Online service)

DOI: 10.1007/s42452-022-05160-3

URN: urn:nbn:de:101:1-2023041221205474455215

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 11:01 AM CEST

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Mosin, Vasilii
Staron, Miroslaw
Tarakanov, Yury
Durisic, Darko
SpringerLink (Online service)

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Attention-based residual autoencoder for video anomaly detection

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Unsupervised anomaly detection in shearers via autoencoder networks and multi-scale correlation matrix reconstruction

Optimizing trajectories for highway driving with offline reinforcement learning

Construction and optimization of representative actual driving cycles based on the improved autoencoder

Altering the mechanical scenario to decrease the driving pressure

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Comparing autoencoder-based approaches for anomaly detection in highway driving scenario images

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Other Objects (12)

Attention-based residual autoencoder for video anomaly detection

Anomaly detection in facial skin temperature using variational autoencoder

Practical autoencoder based anomaly detection by using vector reconstruction error

Graph autoencoder with mirror temporal convolutional networks for traffic anomaly detection

Self-supervised anomaly detection based on foreground enhancement and autoencoder reconstruction

Application of anomaly detection with autoencoder in railway maintenance using ultrasonic data

Scenario-based earthquake damage assessment of highway bridge networks

Scenario interpretation for automated driving at urban intersections

Unsupervised anomaly detection in shearers via autoencoder networks and multi-scale correlation matrix reconstruction

Optimizing trajectories for highway driving with offline reinforcement learning

Construction and optimization of representative actual driving cycles based on the improved autoencoder

Altering the mechanical scenario to decrease the driving pressure

Attention-based residual autoencoder for video anomaly detection

Anomaly detection in facial skin temperature using variational autoencoder

Practical autoencoder based anomaly detection by using vector reconstruction error

Graph autoencoder with mirror temporal convolutional networks for traffic anomaly detection

Self-supervised anomaly detection based on foreground enhancement and autoencoder reconstruction

Application of anomaly detection with autoencoder in railway maintenance using ultrasonic data

Scenario-based earthquake damage assessment of highway bridge networks

Scenario interpretation for automated driving at urban intersections

Unsupervised anomaly detection in shearers via autoencoder networks and multi-scale correlation matrix reconstruction

Optimizing trajectories for highway driving with offline reinforcement learning

Construction and optimization of representative actual driving cycles based on the improved autoencoder

Altering the mechanical scenario to decrease the driving pressure

Attention-based residual autoencoder for video anomaly detection

Anomaly detection in facial skin temperature using variational autoencoder

Practical autoencoder based anomaly detection by using vector reconstruction error

Graph autoencoder with mirror temporal convolutional networks for traffic anomaly detection

Self-supervised anomaly detection based on foreground enhancement and autoencoder reconstruction

Application of anomaly detection with autoencoder in railway maintenance using ultrasonic data

Scenario-based earthquake damage assessment of highway bridge networks

Scenario interpretation for automated driving at urban intersections

Unsupervised anomaly detection in shearers via autoencoder networks and multi-scale correlation matrix reconstruction

Optimizing trajectories for highway driving with offline reinforcement learning

Construction and optimization of representative actual driving cycles based on the improved autoencoder

Altering the mechanical scenario to decrease the driving pressure

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