面向路面违章检测的无人机图像分析

M. Kataev, Eugeny Kartashov, V. Avdeenko
{"title":"面向路面违章检测的无人机图像分析","authors":"M. Kataev, Eugeny Kartashov, V. Avdeenko","doi":"10.1109/SIBCON56144.2022.10002994","DOIUrl":null,"url":null,"abstract":"Violations of the roadway leads to a decrease in the level of driver safety and the condition of the car, reduces the speed of movement. Violations include cracks, pits, ruts, the size of which can change every day, depending on weather conditions and traffic intensity. One of the well-known approaches for detecting violations of the roadway is technical vision and the entire set of image processing algorithms. The article considers a variant of solving the problem of detecting violations of the road surface from images obtained with the help of unmanned aerial vehicles. The approach is based on classical crack boundary detection algorithms and real images of the road are considered.","PeriodicalId":265523,"journal":{"name":"2022 International Siberian Conference on Control and Communications (SIBCON)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"UAV Image Analysis for Road Surface Violation Detection\",\"authors\":\"M. Kataev, Eugeny Kartashov, V. Avdeenko\",\"doi\":\"10.1109/SIBCON56144.2022.10002994\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Violations of the roadway leads to a decrease in the level of driver safety and the condition of the car, reduces the speed of movement. Violations include cracks, pits, ruts, the size of which can change every day, depending on weather conditions and traffic intensity. One of the well-known approaches for detecting violations of the roadway is technical vision and the entire set of image processing algorithms. The article considers a variant of solving the problem of detecting violations of the road surface from images obtained with the help of unmanned aerial vehicles. The approach is based on classical crack boundary detection algorithms and real images of the road are considered.\",\"PeriodicalId\":265523,\"journal\":{\"name\":\"2022 International Siberian Conference on Control and Communications (SIBCON)\",\"volume\":\"31 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-11-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 International Siberian Conference on Control and Communications (SIBCON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SIBCON56144.2022.10002994\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Siberian Conference on Control and Communications (SIBCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIBCON56144.2022.10002994","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

违反道路导致驾驶员的安全水平和汽车的状况下降,降低了运动速度。违规行为包括裂缝、凹坑、车辙,其大小每天都在变化,具体取决于天气状况和交通强度。技术视觉和一整套图像处理算法是检测道路违章行为的一种众所周知的方法。本文考虑了一种解决利用无人机获取的图像来检测路面违章问题的方法。该方法基于经典的裂纹边界检测算法,并考虑了道路的真实图像。
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
UAV Image Analysis for Road Surface Violation Detection
Violations of the roadway leads to a decrease in the level of driver safety and the condition of the car, reduces the speed of movement. Violations include cracks, pits, ruts, the size of which can change every day, depending on weather conditions and traffic intensity. One of the well-known approaches for detecting violations of the roadway is technical vision and the entire set of image processing algorithms. The article considers a variant of solving the problem of detecting violations of the road surface from images obtained with the help of unmanned aerial vehicles. The approach is based on classical crack boundary detection algorithms and real images of the road are considered.
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
SCMA-LDPC coded communication system Spectral X-ray Detectors Based on Multi-Element Chromium Compensated Gallium Arsenide Sensors and Application Specific Integrated Circuits: : Keynote Paper Devoted 75th Anniversary of the Transistor Optimization of Strip Modal Filters by Random Search Method Room Frequency Response Equalization Using Modified X-Filtered Adaptive Algorithms Laboratory Stand for Study Process Dynamics and Control
×
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