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互聯(lián)網(wǎng)全息位置地圖迭加協(xié)議與建模制圖技術(shù)

2016-12-27 16:21:56賈奮勵(lì)王光霞李霖徐連明
科技資訊 2016年25期
關(guān)鍵詞:三維重建

賈奮勵(lì)++王光霞++李霖++徐連明++高偉

摘 要:通過該年度的研究,對(duì)全息位置地圖的內(nèi)涵、技術(shù)體系有了更清晰準(zhǔn)確的認(rèn)識(shí),并在若干技術(shù)層面取得了進(jìn)展。 研究了全息位置地圖的理論框架,對(duì)全息位置地圖的概念、特征進(jìn)行了分析,對(duì)全息位置地圖的制圖模型開展了研究。構(gòu)建了全息位置地圖的情境模型和統(tǒng)一數(shù)據(jù)模型,提出了活動(dòng)模型、行為模型、情境信息模型組成的三層全息位置地圖情境模型,建立了由活動(dòng)規(guī)則、行為規(guī)則、情境信息規(guī)則組成的逐層推理機(jī)制。通過對(duì)上海試驗(yàn)區(qū)的數(shù)據(jù)分析,在該年度內(nèi)重點(diǎn)研究了多種語(yǔ)義位置描述模型,以及信息存儲(chǔ)數(shù)據(jù)模型,特別對(duì)室內(nèi)空間數(shù)據(jù)模型進(jìn)行了詳細(xì)討論。對(duì)多尺度轉(zhuǎn)換、基于地圖空間密度分布的網(wǎng)絡(luò)拓?fù)涞貓D變比例尺可視化、基于語(yǔ)義的室外場(chǎng)景三維重建等全息位置地圖制圖關(guān)鍵技術(shù)進(jìn)行了研究,完成了室外街景全景位置數(shù)據(jù)采集總體集成、互聯(lián)網(wǎng)位置服務(wù)信息挖掘系統(tǒng)的研發(fā),設(shè)計(jì)了全息位置地圖快速制圖系統(tǒng)的總體框架與核心模塊,設(shè)計(jì)并初步構(gòu)建了基于移動(dòng)平臺(tái)的室內(nèi)數(shù)據(jù)采集系統(tǒng)。

關(guān)鍵詞:全息位置地圖 情境模型 統(tǒng)一數(shù)據(jù)模型 語(yǔ)義位置描述模型 多比例尺轉(zhuǎn)換 三維重建

Abstract: Through the research of last year, subject team had more clear and correct recongnization of the meaning and technology system of panoramic location map, had progresses in some technology problem. The theoretical framework of panoramic location map had been researched. Subject team analysed the conception and character of panoramic location map. The mapping model of panoramic location map had been researched. The context model and uniform data model of panoramic location map had been created. The panoramic location map model which consist of activity model, action model and context model had been brought forward. Subject team had constructed reason regulation faced multi-layer which consist of action regulation, activity regulation and context information regulation. Through anlysing data of test region in Shanghai, multi-semantics location represention model had been reaserched with dominant emphasis. Information storing model, especially indoor space data model had been discussed detailedly. Multi-scale transforming, topology map of networks visualization for scale-variable based on density distribution of map space, 3D reconstruction of outdoor based on semantics had been reaserched. Panoramagram data of streetscape collection system and information mining system of Internet location service had finished. Subject team designed framework and kernel module of panoramic location mapping-rapiddly. Data collection system of indoor based on mobile platform had been constructed preliminarily. Now, Project progress accorded with design requirement. Research findings accorded with anticipation basically.

Key Words: Panoramic location map; Context model; Uniform data model; Semantic location description model; Multi-scale transition; 3D reconstruction

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