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基于點(diǎn)云建模技術(shù)的導盲系統設計
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湖州職業(yè)技術(shù)學(xué)院

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浙江省教育科研項目(Y201942338),浙江省訪(fǎng)問(wèn)工程師項目(FG2019129);浙江省大學(xué)生人才計劃項目新苗計劃(2020R443003)


DESIGN OF BLIND GUIDANCE SYSTEM BASED ON POINT CLOUD 3D MODELING TECHNOLOGY
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    摘要:

    基于激光掃描的三維建模技術(shù)是機器視覺(jué)研究領(lǐng)域的重要課題,在許多學(xué)科領(lǐng)域都有有重要的理論和實(shí)用價(jià)值。傳統的導盲系統主要分為兩種類(lèi)型,視覺(jué)輔助型系統和視覺(jué)替代型,這兩種類(lèi)型的導盲系統都存在過(guò)多依賴(lài)外界環(huán)境,如光照、距離、濕度、溫度等,受客觀(guān)條件影響較多。因此,提出基于激光建模技術(shù)的導盲系統,通過(guò)激光掃描儀采集路面的點(diǎn)云和紋理信息;運用修補算法和預處理算法,完善和簡(jiǎn)化點(diǎn)云信息,在可視化平臺實(shí)時(shí)生成三維路況;微處理器S3C2440從經(jīng)過(guò)處理的點(diǎn)云數據提取特征變量進(jìn)行實(shí)時(shí)處理,對危險的路況進(jìn)行語(yǔ)音報警。實(shí)驗結果表明,外界環(huán)境對設計的干擾性較小,系統反饋平均耗時(shí)0.8s,具有一定的應用價(jià)值。

    Abstract:

    3D modeling technology based on laser scanning is an important topic in the field of machine vision research. It has important theoretical and practical value in many disciplines. Traditional guidance system is mainly divided into two types, visual assistant system and visual substitution system. Both of these two types of blind guidance system rely too much on the external environment, such as light, distance, humidity, temperature and so on.Both of them are affected by objective conditions obviously. Therefore, a blind guidance system based on laser modeling technology is proposed,The point cloud and texture information of road surface are collected by laser scannerr;This design use repair algorithm and preprocessing algorithm to improve and simplify the point cloud information ,and generate 3D road condition in real time on the visualization platform; Microprocessor S3C2440 process the characteristic variables in time which is extracted from the processed point cloud data , and makes voice alarm for dangerous road conditions . Experimental results show that the external environment has less interference to the design, and the average feedback time of the system is 0.8s, which has certain application value.

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杜龍龍.基于點(diǎn)云建模技術(shù)的導盲系統設計計算機測量與控制[J].,2021,29(5):198-203.

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  • 收稿日期:2020-10-15
  • 最后修改日期:2020-11-17
  • 錄用日期:2020-11-17
  • 在線(xiàn)發(fā)布日期: 2021-05-21
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