Image and CAIS Features-Based Estimation of Road Surface Condition on Winter Local Road

Author:

Ishizuki Masamu1,Takahashi Sho2,Hagiwara Toru2,Ishii Keita3,Iwasaki Yuji3,Mori Teppei3,Hanatsuka Yasushi3

Affiliation:

1. Hokkaido University,Graduate School of Engineering,Sapporo,Hokkaido,Japan,060-8628

2. Hokkaido University,Faculty of Engineering,Sapporo,Hokkaido,Japan,060-8628

3. Digital Solution Center,Chuo-ku,Tokyo,Japan,104-8340

Publisher

IEEE

Reference6 articles.

1. An Estimation Method of Road Surface Condition on Winter Expressway via Mobile Nets using In-vehicle Camera Images

2. Winter Road Surface Condition Recognition Using A Pretrained Deep Convolutional Network;pan;Transportation Research Board 97th Annual Meeting,2018

3. MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications;howard;CoRR 1704 04861,2017

4. Discrimination of Road-Surface Condition by Intelligent Tire(in Japanese);hanatsuka;JSSI & JSSE Joint Conference,2010

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Fine-Scaled Predictive Modeling of Road Surface Conditions and Temperature in Urban Areas;IEEE Transactions on Intelligent Transportation Systems;2024

2. ViSnow: Snow-Covered Urban Roads Dataset for Computer Vision Applications;IEEE Open Journal of Systems Engineering;2024

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