Scipediacontent: Scipediacontent moved page Draft Content 712080294 to McDonald-Maier et al 2018a

2021-02-02T05:15:32Z

Scipediacontent moved page Draft Content 712080294 to McDonald-Maier et al 2018a

Scipediacontent: Created page with " == Abstract == Weather conditions often disrupt the proper functioning of transportation systems. Present systems either deploy an array of sensors or use an in-vehicle came..."

2021-02-02T05:15:26Z

Created page with " == Abstract == Weather conditions often disrupt the proper functioning of transportation systems. Present systems either deploy an array of sensors or use an in-vehicle came..."

New page

== Abstract ==

Weather conditions often disrupt the proper functioning of transportation systems. Present systems either deploy an array of sensors or use an in-vehicle camera to predict weather conditions. These solutions have resulted in incremental cost and limited scope. To ensure smooth operation of all transportation services in all-weather conditions, a reliable detection system is necessary to classify weather in wild. The challenges involved in solving this problem is that weather conditions are diverse in nature and there is an absence of discriminate features among various weather conditions. The existing works to solve this problem have been scene specific and have targeted classification of two categories of weather. In this paper, we have created a new open source dataset consisting of images depicting three classes of weather i.e rain, snow and fog called RFS Dataset. A novel algorithm has also been proposed which has used super pixel delimiting masks as a form of data augmentation, leading to reasonable results with respect to ten Convolutional Neural Network architectures.

== Original document ==

The different versions of the original document can be found in:

* [http://arxiv.org/abs/1808.00588 http://arxiv.org/abs/1808.00588]

* [http://repository.essex.ac.uk/23547/1/1808.00588v1.pdf http://repository.essex.ac.uk/23547/1/1808.00588v1.pdf]

* [http://xplorestaging.ieee.org/ielx7/8515683/8541365/08541482.pdf?arnumber=8541482 http://xplorestaging.ieee.org/ielx7/8515683/8541365/08541482.pdf?arnumber=8541482],
: [http://dx.doi.org/10.1109/ahs.2018.8541482 http://dx.doi.org/10.1109/ahs.2018.8541482]

* [https://dblp.uni-trier.de/db/journals/corr/corr1808.html#abs-1808-00588 https://dblp.uni-trier.de/db/journals/corr/corr1808.html#abs-1808-00588],
: [http://repository.essex.ac.uk/23547 http://repository.essex.ac.uk/23547],
: [https://academic.microsoft.com/#/detail/2885750759 https://academic.microsoft.com/#/detail/2885750759]

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McDonald-Maier et al 2018a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 712080294 to McDonald-Maier et al 2018a

Scipediacontent: Created page with " == Abstract == Weather conditions often disrupt the proper functioning of transportation systems. Present systems either deploy an array of sensors or use an in-vehicle came..."