| 基于众源数据的室内外一体化行人路网构建 |
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| 引用本文： | 周宝定,张文香,黄金彩,李清泉.基于众源数据的室内外一体化行人路网构建[J].测绘学报,2022,51(5):718-728. |
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| 作者姓名： | 周宝定 张文香 黄金彩 李清泉 |
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| 作者单位： | 1. 深圳大学城市智慧交通与安全运维研究院, 广东 深圳 518060;2. 滨海城市韧性基础设施教育部重点实验室(深圳大学), 广东 深圳 518060;3. 深圳大学土木与交通工程学院, 广东 深圳 518060;4. 中南大学大数据研究院, 湖南 长沙 410083;5. 深圳大学广东省城市空间信息工程重点实验室, 广东 深圳 518060 |
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| 基金项目： | 国家自然科学基金(42171427;42001404)；;广东省自然科学基金面上项目(2019A1515011910)；;深圳市科技计划(JCYJ20190808113603556;KQTD20180412181337494)~~； |
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| 摘 要： | 行人路网的完整性和准确性是保障步行导航服务的关键。当前的行人路网大多是基于室外道路设施构建的，缺乏室内可步行路径的数据支持，无法在导航应用中提供准确、真实的最优路径规划服务。鉴于此，本文提出了一种基于众源数据的室内外一体化行人路网构建方法，采用智能手机定位传感器与惯性传感器记录的众源轨迹，首先对缺失或者漂移的室内步行数据进行筛选，然后使用改进的行人航位推算(PDR)方法推算出准确的室内轨迹，进而采用莫尔斯理论生成涵盖室内外行人路径的完整行人路网。试验分析中对搜集到的260条步行轨迹数据进行行人路网构建，并使用高精度测量设备采集真实路网数据进行对比分析，结合OSM数据对试验结果进行综合评价。试验结果表明，本文方法能够准确、完整地生成室内外一体化行人路网。
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| 关 键 词： | 众源地理空间数据 步行导航 行人路网 室内外一体化 莫尔斯理论 |
| 收稿时间： | 2021-05-18 |
| 修稿时间： | 2022-01-15 |
Indoor and outdoor integrated pedestrian network construction based on crowdsourced data |
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| ZHOU Baoding,ZHANG Wenxiang,HUANG Jincai,LI Qingquan.Indoor and outdoor integrated pedestrian network construction based on crowdsourced data[J].Acta Geodaetica et Cartographica Sinica,2022,51(5):718-728. |
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| Authors: | ZHOU Baoding ZHANG Wenxiang HUANG Jincai LI Qingquan |
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| Abstract: | The integrity and accuracy of the pedestrian road network is the key to ensuring pedestrian navigation services. Most of the current pedestrian road networks are constructed based on outdoor road facilities, lacking data support for indoor walkable paths, and cannot provide accurate and true optimal path planning services in navigation applications. In view of this, this article proposes a method for constructing an integrated indoor and outdoor pedestrian road network based on crowd-sourced data. It uses crowd-sourced trajectories recorded by smartphone positioning sensors and inertial sensors. The missing or drifting indoor walking data is first filtered, and then used the improved pedestrian dead reckoning (PDR) method calculates accurate indoor trajectories, and then uses Morse theory to generate a complete pedestrian road network covering indoor and outdoor pedestrian paths. In the experimental analysis, the pedestrian road network was constructed on the collected 260 walking trajectory data, and the real road network data was collected by high-precision measurement equipment for comparative analysis, and the experimental results were comprehensively evaluated with the Open Street Map data. Experimental results show that the method in this paper can accurately and completely generate an integrated indoor and outdoor pedestrian road network. |
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