国产bbaaaaa片,成年美女黄网站色视频免费,成年黄大片,а天堂中文最新一区二区三区,成人精品视频一区二区三区尤物

首頁(yè)> 外文期刊>GIScience & remote sensing >A literature synthesis of LiDAR applications in transportation: feature extraction and geometric assessments of highways
【24h】

A literature synthesis of LiDAR applications in transportation: feature extraction and geometric assessments of highways

機(jī)譯：LiDAR在交通中的應(yīng)用文獻(xiàn)綜述：高速公路的特征提取和幾何評(píng)估

獲取原文
獲取原文并翻譯 | 示例
  • 摘要
  • 著錄項(xiàng)
  • 相似文獻(xiàn)
  • 相關(guān)主題

摘要

Interest in using Light Detection and Ranging (LiDAR) technology in Transportation Engineering has grown over the past decade. The high accuracy of LiDAR datasets and the efficiency by which they can be collected has led many transportation agencies to consider mobile LiDAR as an alternative to conventional tools when surveying roadway infrastructure. Nonetheless, extracting semantic information from LiDAR datasets can be extremely challenging. Although extracting roadway features from LiDAR has been considered in previous research, the extraction of some features has received more attention than others. In fact, for some roadway design elements, attempts to extract those elements from LiDAR have been extremely scarce. To document the research that has been done in this area, this paper conducts a thorough review of existing studies while also highlighting areas where more research is required. Unlike previous research, this paper includes a thorough review of the previous attempts at data extraction from LiDAR while summarizing the detailed steps of the extraction procedure proposed in each study. Moreover, the paper also identifies common tools and techniques used to extract information from LiDAR for transportation applications. The paper also highlights common limitations in existing algorithms that could be improved in future research. This paper represents a valuable resource for researchers and practitioners interested in knowing the current state of research on the applications of LiDAR in the field of Transportation Engineering while also understanding the opportunities and challenges that lie ahead.
機(jī)譯：在過去的十年中，人們對(duì)在交通運(yùn)輸工程中使用光檢測(cè)和測(cè)距（LiDAR）技術(shù)的興趣不斷增長(zhǎng)。 LiDAR數(shù)據(jù)集的高精度和可收集的效率使許多運(yùn)輸機(jī)構(gòu)在測(cè)量道路基礎(chǔ)設(shè)施時(shí)考慮將移動(dòng)LiDAR視為傳統(tǒng)工具的替代品。但是，從LiDAR數(shù)據(jù)集中提取語(yǔ)義信息可能非常困難。盡管在先前的研究中已經(jīng)考慮了從LiDAR提取道路特征，但是某些特征的提取受到了更多的關(guān)注。實(shí)際上，對(duì)于某些道路設(shè)計(jì)元素而言，從LiDAR提取這些元素的嘗試非常少。為了記錄在該領(lǐng)域已進(jìn)行的研究，本文對(duì)現(xiàn)有研究進(jìn)行了全面回顧，同時(shí)重點(diǎn)介紹了需要進(jìn)行更多研究的領(lǐng)域。與以前的研究不同，本文包括對(duì)以前從LiDAR進(jìn)行數(shù)據(jù)提取的嘗試的全面回顧，同時(shí)總結(jié)了每項(xiàng)研究中提出的提取程序的詳細(xì)步驟。此外，本文還確定了用于從LiDAR提取信息以用于運(yùn)輸應(yīng)用的常用工具和技術(shù)。本文還強(qiáng)調(diào)了現(xiàn)有算法中的常見局限性，可以在未來的研究中加以改進(jìn)。本文為有興趣了解LiDAR在交通工程領(lǐng)域中的應(yīng)用研究現(xiàn)狀，同時(shí)也了解未來的機(jī)遇和挑戰(zhàn)的研究人員和從業(yè)人員提供了寶貴的資源。

著錄項(xiàng)

相似文獻(xiàn)

  • 外文文獻(xiàn)
  • 中文文獻(xiàn)
  • 專利
獲取原文

客服郵箱：kefu@zhangqiaokeyan.com

京公網(wǎng)安備：11010802029741號(hào) ICP備案號(hào)：京ICP備15016152號(hào)-6 六維聯(lián)合信息科技 (北京) 有限公司?版權(quán)所有

  • 客服微信

  • 服務(wù)號(hào)