发布求助
文献互助 智能选刊 最新文献

基于局部阈值自适应方法的地点云分割

Q3 Materials Science
Guangxue Jingmi Gongcheng/Optics and Precision Engineering Pub Date : 2023-01-01 DOI:10.37188/ope.20233117.2564
Peixiang ZHANG, Qi WANG, Renjing GAO, Yang XIA, Zhenzhong WAN
{"title":"基于局部阈值自适应方法的地点云分割","authors":"Peixiang ZHANG, Qi WANG, Renjing GAO, Yang XIA, Zhenzhong WAN","doi":"10.37188/ope.20233117.2564","DOIUrl":null,"url":null,"abstract":"ä¸ºäº†è¿›ä¸€æ­¥æé«˜è‡ªåŠ¨é©¾é©¶æ„Ÿåº”æ¨¡å—ä¸­æ¿€å ‰é›·è¾¾ç‚¹äº‘åœ°é¢åˆ†å‰²ç®—æ³•çš„åˆ†å‰²ç²¾åº¦ï¼Œæå‡ºä¸€ç§åŸºäºŽç§å­ç‚¹è·ç¦»é˜ˆå€¼å’Œè·¯é¢æ³¢åŠ¨åŠ æƒå¹ å€¼è‡ªé€‚åº”çš„åœ°é¢ç‚¹äº‘åˆ†å‰²ç®—æ³•ã€‚è¯¥ç®—æ³•åœ¨æžåæ ‡æ æ ¼åœ°å›¾åˆ’åˆ†çš„åŸºç¡€ä¸Šï¼Œå°†ç§å­ç‚¹çš„é€‰å–åˆ¤æ–­é˜ˆå€¼ä¸ŽäºŒç»´å¹³é¢çš„æ°´å¹³è·ç¦»ç‰¹å¾ç›¸å ³è”ï¼Œé€šè¿‡ç‚¹äº‘é—´çš„æ°´å¹³è·ç¦»å˜åŒ–æŽ§åˆ¶ç§å­ç‚¹é›†çš„æ›´æ–°ï¼›åœ¨é“è·¯æ¨¡åž‹æ‹Ÿåˆè¿‡ç¨‹ä¸­ï¼Œä¸ºè§£å†³æ–œå¡è·¯é¢æ¨¡åž‹æ›´æ–°åœæ»žé—®é¢˜å¼•å ¥å¡åº¦è¿žç»­æ€§åˆ¤æ–­å‡†åˆ™ï¼Œæ ¹æ®è·¯é¢æ³¢åŠ¨åŠ æƒå¹ å€¼çš„å˜åŒ–å»ºç«‹ç‚¹äº‘çš„åˆ†å‰²é˜ˆå€¼æ–¹ç¨‹ï¼Œæœ€ç»ˆå®žçŽ°å ³äºŽç‚¹äº‘è·ç¦»ç‰¹å¾çš„è‡ªé€‚åº”é˜ˆå€¼åˆ†å‰²ã€‚å¯¹å¼€æºæ•°æ®é›†Semantic KITTI进行点云二分类数据处理，并在此基础上测试算法性能。实验结果表明：与现有算法相比，本文所述地面分割算法的精确率和召回率均提升了2%~4%ï¼Œå ·æœ‰è¾ƒé«˜çš„å‡†ç¡®æ€§ã€‚","PeriodicalId":39778,"journal":{"name":"Guangxue Jingmi Gongcheng/Optics and Precision Engineering","volume":"143 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Ground point cloud segmentation based on local threshold adaptive method\",\"authors\":\"Peixiang ZHANG, Qi WANG, Renjing GAO, Yang XIA, Zhenzhong WAN\",\"doi\":\"10.37188/ope.20233117.2564\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ä¸ºäº†è¿›ä¸€æ­¥æé«˜è‡ªåŠ¨é©¾é©¶æ„Ÿåº”æ¨¡å—ä¸­æ¿€å ‰é›·è¾¾ç‚¹äº‘åœ°é¢åˆ†å‰²ç®—æ³•çš„åˆ†å‰²ç²¾åº¦ï¼Œæå‡ºä¸€ç§åŸºäºŽç§å­ç‚¹è·ç¦»é˜ˆå€¼å’Œè·¯é¢æ³¢åŠ¨åŠ æƒå¹ å€¼è‡ªé€‚åº”çš„åœ°é¢ç‚¹äº‘åˆ†å‰²ç®—æ³•ã€‚è¯¥ç®—æ³•åœ¨æžåæ ‡æ æ ¼åœ°å›¾åˆ’åˆ†çš„åŸºç¡€ä¸Šï¼Œå°†ç§å­ç‚¹çš„é€‰å–åˆ¤æ–­é˜ˆå€¼ä¸ŽäºŒç»´å¹³é¢çš„æ°´å¹³è·ç¦»ç‰¹å¾ç›¸å ³è”ï¼Œé€šè¿‡ç‚¹äº‘é—´çš„æ°´å¹³è·ç¦»å˜åŒ–æŽ§åˆ¶ç§å­ç‚¹é›†çš„æ›´æ–°ï¼›åœ¨é“è·¯æ¨¡åž‹æ‹Ÿåˆè¿‡ç¨‹ä¸­ï¼Œä¸ºè§£å†³æ–œå¡è·¯é¢æ¨¡åž‹æ›´æ–°åœæ»žé—®é¢˜å¼•å ¥å¡åº¦è¿žç»­æ€§åˆ¤æ–­å‡†åˆ™ï¼Œæ ¹æ®è·¯é¢æ³¢åŠ¨åŠ æƒå¹ å€¼çš„å˜åŒ–å»ºç«‹ç‚¹äº‘çš„åˆ†å‰²é˜ˆå€¼æ–¹ç¨‹ï¼Œæœ€ç»ˆå®žçŽ°å ³äºŽç‚¹äº‘è·ç¦»ç‰¹å¾çš„è‡ªé€‚åº”é˜ˆå€¼åˆ†å‰²ã€‚å¯¹å¼€æºæ•°æ®é›†Semantic KITTI进行点云二分类数据处理，并在此基础上测试算法性能。实验结果表明：与现有算法相比，本文所述地面分割算法的精确率和召回率均提升了2%~4%ï¼Œå ·æœ‰è¾ƒé«˜çš„å‡†ç¡®æ€§ã€‚\",\"PeriodicalId\":39778,\"journal\":{\"name\":\"Guangxue Jingmi Gongcheng/Optics and Precision Engineering\",\"volume\":\"143 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Guangxue Jingmi Gongcheng/Optics and Precision Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.37188/ope.20233117.2564\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Materials Science\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Guangxue Jingmi Gongcheng/Optics and Precision Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.37188/ope.20233117.2564","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Materials Science","Score":null,"Total":0}
引用次数: 0

摘要

我是一个很有经验的人。餈銵冽靘憒餃僑皛∟銵冽靘憒餃僑皛∟銵冽靘憒餃僑皛∟銵冽靘憒餃僑皛∟銵冽靘憒餃僑皛∟銵冽靘憒餃僑皛∟銵冽靘憒餃僑皛∟銵冽靘憒餃僑皛∟銵冽靘憒餃僑皛∟銵冽靘憒餃僑皛∟銵冽靘憒餃僑皛∟銵冽靘憒
本文章由计算机程序翻译，如有差异，请以英文原文为准。
分享
查看原文 本刊更多论文
Ground point cloud segmentation based on local threshold adaptive method
ä¸ºäº†è¿›ä¸€æ­¥æé«˜è‡ªåŠ¨é©¾é©¶æ„Ÿåº”æ¨¡å—ä¸­æ¿€å ‰é›·è¾¾ç‚¹äº‘åœ°é¢åˆ†å‰²ç®—æ³•çš„åˆ†å‰²ç²¾åº¦ï¼Œæå‡ºä¸€ç§åŸºäºŽç§å­ç‚¹è·ç¦»é˜ˆå€¼å’Œè·¯é¢æ³¢åŠ¨åŠ æƒå¹ å€¼è‡ªé€‚åº”çš„åœ°é¢ç‚¹äº‘åˆ†å‰²ç®—æ³•ã€‚è¯¥ç®—æ³•åœ¨æžåæ ‡æ æ ¼åœ°å›¾åˆ’åˆ†çš„åŸºç¡€ä¸Šï¼Œå°†ç§å­ç‚¹çš„é€‰å–åˆ¤æ–­é˜ˆå€¼ä¸ŽäºŒç»´å¹³é¢çš„æ°´å¹³è·ç¦»ç‰¹å¾ç›¸å ³è”ï¼Œé€šè¿‡ç‚¹äº‘é—´çš„æ°´å¹³è·ç¦»å˜åŒ–æŽ§åˆ¶ç§å­ç‚¹é›†çš„æ›´æ–°ï¼›åœ¨é“è·¯æ¨¡åž‹æ‹Ÿåˆè¿‡ç¨‹ä¸­ï¼Œä¸ºè§£å†³æ–œå¡è·¯é¢æ¨¡åž‹æ›´æ–°åœæ»žé—®é¢˜å¼•å ¥å¡åº¦è¿žç»­æ€§åˆ¤æ–­å‡†åˆ™ï¼Œæ ¹æ®è·¯é¢æ³¢åŠ¨åŠ æƒå¹ å€¼çš„å˜åŒ–å»ºç«‹ç‚¹äº‘çš„åˆ†å‰²é˜ˆå€¼æ–¹ç¨‹ï¼Œæœ€ç»ˆå®žçŽ°å ³äºŽç‚¹äº‘è·ç¦»ç‰¹å¾çš„è‡ªé€‚åº”é˜ˆå€¼åˆ†å‰²ã€‚å¯¹å¼€æºæ•°æ®é›†Semantic KITTI进行点云二分类数据处理，并在此基础上测试算法性能。实验结果表明：与现有算法相比，本文所述地面分割算法的精确率和召回率均提升了2%~4%ï¼Œå ·æœ‰è¾ƒé«˜çš„å‡†ç¡®æ€§ã€‚
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
Guangxue Jingmi Gongcheng/Optics and Precision Engineering
Guangxue Jingmi Gongcheng/Optics and Precision Engineering Materials Science-Electronic, Optical and Magnetic Materials
CiteScore
2.40
自引率
0.00%
发文量
95
×
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
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：481959085
Book学术官方微信