A Method for Classifying Road Narrowing Conditions Based on Features of Surrounding Vehicles and Piled Snow in In-vehicle Camera Videos-Reference-Cited by-同舟云学术

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A Method for Classifying Road Narrowing Conditions Based on Features of Surrounding Vehicles and Piled Snow in In-vehicle Camera Videos

Published:2022-07-06 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Consumer Electronics - Taiwan
language:
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Author:

Kinoshita Hiroki¹,Yagi Masahiro¹,Takahashi Sho²,Hagiwara Toru²

Affiliation:

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

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

Funder

JST

PRESTO

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9868970/9868972/09868980.pdf?arnumber=9868980

Reference6 articles.

1. Digging Into Self-Supervised Monocular Depth Estimation

2. Are we ready for autonomous driving? The KITTI vision benchmark suite

3. Microsoft coco: Common objects in context;lin;European Conference on Computer Vision,0

4. Nearest neighbor pattern classification

5. You Only Look Once: Unified, Real-Time Object Detection

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. A Computer Vision-Based Framework for Snow Removal Operation Routing;IEEE Open Journal of Circuits and Systems;2024

2. An IoT aware Road Accident Prevention System for Smart Cities Using Machine Learning Techniques;Advances in Systems Analysis, Software Engineering, and High Performance Computing;2023-05-05

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