基于警示标志的铁路道口距离估算方法

Kaisei Shimura, Yoichi Tomioka, Qiang Zhao
{"title":"基于警示标志的铁路道口距离估算方法","authors":"Kaisei Shimura, Yoichi Tomioka, Qiang Zhao","doi":"10.1109/MCSoC51149.2021.00034","DOIUrl":null,"url":null,"abstract":"A mobility scooter has come to be used to expand the range of mobility for the elderly. On the other hand, accidents involving mobility scooters have become serious problems. For example, if a mobility scooter stops inside a railway crossing due to battery exhaustion, it is very dangerous because accidental contact with a train may happen. Measuring the distance to a railway crossing during driving is helpful to avoid entrance to a railway crossing without enough battery. In this paper, we propose a method for predicting the distance to a railroad crossing based on the railway crossing warning signs in the video from a camera installed in front of the mobility scooter. In experiments, we evaluate the proposed method using images taken at various positions in relation to the railway crossing and show that the proposed method achieves higher accuracy than the distance estimation using a depth sensor.","PeriodicalId":166811,"journal":{"name":"2021 IEEE 14th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC)","volume":"452 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Distance Estimation Method to Railway Crossing Using Warning Signs\",\"authors\":\"Kaisei Shimura, Yoichi Tomioka, Qiang Zhao\",\"doi\":\"10.1109/MCSoC51149.2021.00034\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A mobility scooter has come to be used to expand the range of mobility for the elderly. On the other hand, accidents involving mobility scooters have become serious problems. For example, if a mobility scooter stops inside a railway crossing due to battery exhaustion, it is very dangerous because accidental contact with a train may happen. Measuring the distance to a railway crossing during driving is helpful to avoid entrance to a railway crossing without enough battery. In this paper, we propose a method for predicting the distance to a railroad crossing based on the railway crossing warning signs in the video from a camera installed in front of the mobility scooter. In experiments, we evaluate the proposed method using images taken at various positions in relation to the railway crossing and show that the proposed method achieves higher accuracy than the distance estimation using a depth sensor.\",\"PeriodicalId\":166811,\"journal\":{\"name\":\"2021 IEEE 14th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC)\",\"volume\":\"452 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE 14th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MCSoC51149.2021.00034\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 14th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MCSoC51149.2021.00034","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

一种机动滑板车已经被用来扩大老年人的活动范围。另一方面,涉及机动滑板车的事故已经成为严重的问题。例如,如果一辆机动滑板车由于电池耗尽而停在铁路道口内,这是非常危险的,因为可能会发生意外接触火车。在开车时测量到铁路道口的距离,有助于避免在没有足够电量的情况下进入铁路道口。在本文中,我们提出了一种基于安装在移动滑板车前面的摄像机的视频中的铁路道口警告标志来预测到铁路道口距离的方法。在实验中,我们使用与铁路道口相关的不同位置拍摄的图像来评估所提出的方法,并表明所提出的方法比使用深度传感器的距离估计具有更高的精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
A Distance Estimation Method to Railway Crossing Using Warning Signs
A mobility scooter has come to be used to expand the range of mobility for the elderly. On the other hand, accidents involving mobility scooters have become serious problems. For example, if a mobility scooter stops inside a railway crossing due to battery exhaustion, it is very dangerous because accidental contact with a train may happen. Measuring the distance to a railway crossing during driving is helpful to avoid entrance to a railway crossing without enough battery. In this paper, we propose a method for predicting the distance to a railroad crossing based on the railway crossing warning signs in the video from a camera installed in front of the mobility scooter. In experiments, we evaluate the proposed method using images taken at various positions in relation to the railway crossing and show that the proposed method achieves higher accuracy than the distance estimation using a depth sensor.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
A Distance Estimation Method to Railway Crossing Using Warning Signs FPGA-Based Implementation of the Stereo Matching Algorithm Using High-Level Synthesis A Low Cost and Portable Mini Motor Car System with a BNN Accelerator on FPGA Enhancing Autotuning Capability with a History Database UI Method to Support Knowledge Creation in Hybrid Museum Experience
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1