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Author
Saad Minhas; Zeba Khanam; Shoaib Ehsan; Klaus McDonald Maier; Aura Hernandez-Sabate
Title
Weather Classification by Utilizing Synthetic Data
Type
Journal Article
Year
2022
Publication
Sensors
Abbreviated Journal
SENS
Volume
22
Issue
9
Pages
3193
Keywords
Weather classification; synthetic data; dataset; autonomous car; computer vision; advanced driver assistance systems; deep learning; intelligent transportation systems
Abstract
Weather prediction from real-world images can be termed a complex task when targeting classification using neural networks. Moreover, the number of images throughout the available datasets can contain a huge amount of variance when comparing locations with the weather those images are representing. In this article, the capabilities of a custom built driver simulator are explored specifically to simulate a wide range of weather conditions. Moreover, the performance of a new synthetic dataset generated by the above simulator is also assessed. The results indicate that the use of synthetic datasets in conjunction with real-world datasets can increase the training efficiency of the CNNs by as much as 74%. The article paves a way forward to tackle the persistent problem of bias in vision-based datasets.
Address
21 April 2022
Corporate Author
Thesis
Publisher
MDPI
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Summary Language
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Notes
IAM; 600.139; 600.159; 600.166; 600.145;
Approved
no
Call Number
Admin @ si @ MKE2022
Serial
3761
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Author
Patricia Marquez; Debora Gil; Aura Hernandez-Sabate; Daniel Kondermann
Title
When Is A Confidence Measure Good Enough?
Type
Conference Article
Year
2013
Publication
9th International Conference on Computer Vision Systems
Abbreviated Journal
Volume
7963
Issue
Pages
344-353
Keywords
Optical flow, confidence measure, performance evaluation
Abstract
Confidence estimation has recently become a hot topic in image processing and computer vision.Yet, several definitions exist of the term “confidence” which are sometimes used interchangeably. This is a position paper, in which we aim to give an overview on existing definitions,
thereby clarifying the meaning of the used terms to facilitate further research in this field. Based on these clarifications, we develop a theory to compare confidence measures with respect to their quality.
Address
St Petersburg; Russia; July 2013
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Springer Link
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Editor
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LNCS
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Edition
ISSN
0302-9743
ISBN
978-3-642-39401-0
Medium
Area
Expedition
Conference
ICVS
Notes
IAM;ADAS; 600.044; 600.057; 600.060; 601.145
Approved
no
Call Number
IAM @ iam @ MGH2013a
Serial
2218
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