{"id":166,"date":"2015-08-07T16:08:14","date_gmt":"2015-08-07T08:08:14","guid":{"rendered":"https:\/\/www.cognav.net\/?p=166"},"modified":"2015-08-07T16:15:19","modified_gmt":"2015-08-07T08:15:19","slug":"%e5%88%a9%e7%94%a8%e6%88%bf%e9%97%b4%e6%8c%87%e7%ba%b9%e5%9f%ba%e4%ba%8e%e8%b5%b0%e5%bb%8a%e8%87%aa%e5%8a%a8%e6%9e%84%e5%bb%ba%e5%ae%a4%e5%86%85%e5%9c%b0%e5%9b%be","status":"publish","type":"post","link":"https:\/\/braininspirednavigation.com\/?p=166","title":{"rendered":"\u5229\u7528\u623f\u95f4\u6307\u7eb9\u57fa\u4e8e\u8d70\u5eca\u81ea\u52a8\u6784\u5efa\u5ba4\u5185\u5730\u56fe"},"content":{"rendered":"<p style=\"text-align: center\">\n\t&nbsp;\n<\/p>\n<p style=\"text-align: center\">\n\t<span style=\"font-family:arial,helvetica,sans-serif;\"><span style=\"font-size:20px;\"><span style=\"color: black;\">\u5229\u7528\u623f\u95f4\u6307\u7eb9\u57fa\u4e8e\u8d70\u5eca\u81ea\u52a8\u6784\u5efa\u5ba4\u5185\u5730\u56fe<\/span><\/span><\/span>\n<\/p>\n<p style=\"text-align: center\">\n\t<span style=\"font-family:times new roman,times,serif;\"><span style=\"font-size:16px;\"><span style=\"color: black;\">Hallway based automatic indoor floorplan construction using room fingerprints<\/span><\/span><\/span>\n<\/p>\n<p style=\"text-align: justify\">\n\t&nbsp;\n<\/p>\n<p style=\"text-align: justify\">\n\t<span style=\"font-family:arial,helvetica,sans-serif;\"><span style=\"font-size:18px;\"><span style=\"color:black\">&nbsp; &nbsp; &nbsp; &nbsp;\u4eba\u4eec70%\u4ee5\u4e0a\u7684\u65f6\u95f4\u90fd\u5904\u5728\u5ba4\u5185\u7a7a\u95f4\u3002\u4e86\u89e3\u5ba4\u5185\u73af\u5883\u4fe1\u606f\u5bf9\u5e7f\u6cdb\u65b0\u5174\u7684\u79fb\u52a8\u793e\u4ea4\u5e94\u7528\u81f3\u5173\u91cd\u8981\u3002\u5728\u8fd9\u4e9b\u5e94\u7528\u4e2d\u5f80\u5f80\u9700\u8981\u5ba4\u5185\u697c\u5c42\u5e73\u9762\u56fe\u3002\u7136\u800c\uff0c\u5f88\u591a\u73af\u5883\u4e2d\u7684\u5ba4\u5185\u5730\u56fe\u4e0d\u53ef\u7528\u6216\u8005\u901a\u8fc7\u4eba\u5de5\u5236\u4f5c\u5730\u56fe\u5f80\u5f80\u8017\u65f6\u3001\u8017\u529b\u4e14\u5b58\u5728\u5f88\u591a\u8bef\u5dee\u3002\u672c\u6587\u4e2d\u4f5c\u8005\u8bbe\u8ba1\u4e86\u4e00\u79cd\u81ea\u52a8\u6784\u5efa\u5ba4\u5185\u5730\u56fe\u7684\u7cfb\u7edf\u3002\u8be5\u7cfb\u7edf\u901a\u8fc7\u5229\u7528Wi-Fi\u6307\u7eb9\u548c\u7528\u6237\u7684\u8fd0\u52a8\u7279\u5f81\u4fe1\u606f\uff0c\u901a\u8fc7\u4e09\u4e2a\u5173\u952e\u6b65\u9aa4\u81ea\u52a8\u6784\u5efa\u5ba4\u5185\u5730\u56fe\u3002<\/span><\/span><\/span>\n<\/p>\n<p style=\"text-align: justify\">\n\t<span style=\"font-family:arial,helvetica,sans-serif;\"><span style=\"font-size:18px;\"><span style=\"color:black\">&nbsp; &nbsp; &nbsp; &nbsp;\u7b2c\u4e00\u6b65\u3001\u6784\u5efa\u623f\u95f4\u90bb\u63a5\u56fe\uff0c\u4ee5\u786e\u5b9a\u623f\u95f4\u4e4b\u95f4\u7684\u90bb\u63a5\u5173\u7cfb\uff1b<\/span><\/span><\/span>\n<\/p>\n<p style=\"text-align: justify\">\n\t<span style=\"font-family:arial,helvetica,sans-serif;\"><span style=\"font-size:18px;\"><span style=\"color:black\">&nbsp; &nbsp; &nbsp; &nbsp;\u7b2c\u4e8c\u6b65\u3001\u5b66\u4e60\u8d70\u5eca\u5e03\u5c40\uff0c\u4ee5\u4f30\u8ba1\u6cbf\u7740\u6bcf\u4e2a\u8d70\u5eca\u7684\u623f\u95f4\u5927\u5c0f\u548c\u623f\u95f4\u987a\u5e8f\uff1b<\/span><\/span><\/span>\n<\/p>\n<p style=\"text-align: justify\">\n\t<span style=\"font-family:arial,helvetica,sans-serif;\"><span style=\"font-size:18px;\"><span style=\"color:black\">&nbsp; &nbsp; &nbsp; &nbsp;\u7b2c\u4e09\u6b65\u3001\u8fdb\u884c\u4f38\u7f29\u5904\u7406\uff0c\u4ee5\u8c03\u6574\u623f\u95f4\u5927\u5c0f\u5e76\u4f18\u5316\u6574\u4e2a\u697c\u5c42\u5e73\u9762\u56fe\u7684\u7cbe\u5ea6\u3002<\/span><\/span><\/span>\n<\/p>\n<p style=\"text-align: justify\">\n\t<span style=\"font-family:arial,helvetica,sans-serif;\"><span style=\"font-size:18px;\"><span style=\"color:black\">&nbsp; &nbsp; &nbsp; &nbsp;\u8be5\u7cfb\u7edf\u53ef\u4ee5\u7528\u5728\u65b0\u5174\u7684\u79fb\u52a8\u5e94\u7528\u4e2d\u7528\u4e8e\u751f\u6210\u3001\u4f7f\u7528\u3001\u5171\u4eab\u5ba4\u5185\u5730\u56fe\u3002<\/span><\/span><\/span>\n<\/p>\n<p style=\"text-align: justify\">\n\t&nbsp;\n<\/p>\n<p style=\"text-align: justify\">\n\t<span style=\"font-family:times new roman,times,serif;\"><span style=\"font-size:18px;\"><span style=\"color: black;\">&nbsp; &nbsp;People spend approximately 70% of their time indoors.&nbsp;Understanding the indoor environments is therefore&nbsp;important for a wide range of emerging mobile personal&nbsp;and social applications. Knowledge of indoor&nbsp;floorplans is often required by these applications. However,&nbsp;indoor floorplans are either unavailable or obtaining&nbsp;them requires slow, tedious, and error-prone manual&nbsp;labour.&nbsp;<\/span><\/span><\/span>\n<\/p>\n<p style=\"text-align: justify\">\n\t&nbsp;\n<\/p>\n<p style=\"text-align: justify\">\n\t<span style=\"font-family:times new roman,times,serif;\"><span style=\"font-size:18px;\"><span style=\"color: black;\">&nbsp; &nbsp; &nbsp;This paper describes an automatic indoor floorplan&nbsp;construction system. Leveraging Wi-Fi fingerprints&nbsp;and user motion information, this system automatically&nbsp;constructs floorplan via three key steps:&nbsp;<\/span><\/span><\/span>\n<\/p>\n<p style=\"text-align: justify\">\n\t<span style=\"font-family:times new roman,times,serif;\"><span style=\"font-size:18px;\"><span style=\"color: black;\">&nbsp; &nbsp; (1) room adjacency&nbsp;graph construction to determine which rooms are&nbsp;adjacent;<\/span><\/span><\/span>\n<\/p>\n<p style=\"text-align: justify\">\n\t<span style=\"font-family:times new roman,times,serif;\"><span style=\"font-size:18px;\"><span style=\"color: black;\">&nbsp; &nbsp; (2) hallway layout learning to estimate room&nbsp;sizes and order rooms along each hallway;<\/span><\/span><\/span>\n<\/p>\n<p style=\"text-align: justify\">\n\t<span style=\"font-family:times new roman,times,serif;\"><span style=\"font-size:18px;\"><span style=\"color: black;\">&nbsp; &nbsp;(3) force&nbsp;directed dilation to adjust room sizes and optimize the&nbsp;overall floorplan accuracy. Deployment study in three&nbsp;buildings with 189 rooms demonstrates high floorplan&nbsp;accuracy. The system has been implemented as a mobile&nbsp;middleware, which allows emerging mobile applications&nbsp;to generate, leverage, and share indoor floorplans.&nbsp;<\/span><\/span><\/span>\n<\/p>\n<p style=\"text-align: justify\">\n\t&nbsp;\n<\/p>\n<p style=\"text-align: justify\">\n\t<span style=\"font-family:times new roman,times,serif;\"><span style=\"font-size:18px;\"><span style=\"color: black;\">&nbsp; &nbsp; The system functions for a variety of indoor environments, and is robust to Wi-Fi noise and variation in occupant motion patterns. Deployment at three building sites with 189 rooms yields an average room position accuracy of 91%, room area estimation error of 33% and room geometric aspect ratio error of 24%, using on average only 20 data points per location for the system to converge.<\/span><\/span><\/span>\n<\/p>\n<p style=\"text-align: justify\">\n\t&nbsp;\n<\/p>\n<p style=\"text-align: justify\">\n\t<span style=\"font-family:times new roman,times,serif;\"><span style=\"font-size:18px;\"><span style=\"color: black;\">&nbsp; &nbsp; &nbsp;Keywords &nbsp;Indoor floorplan; context sensing; indoor localization &nbsp;<\/span><\/span><\/span>\n<\/p>\n<p style=\"text-align: justify\">\n\t&nbsp;\n<\/p>\n<p style=\"text-align: center;\">\n\t<img decoding=\"async\" alt=\"\" src=\"https:\/\/www.braininspirednavigation.com\/wp-content\/uploads\/2015\/08\/080715_0806_1.png\" style=\"height: 100px; width: 600px;\" \/>\n<\/p>\n<p style=\"text-align: center;\">\n\t<span style=\"font-size:18px;\"><span style=\"font-family:times new roman,times,serif;\">Automatic indoor floorplan construction system overview.<\/span><\/span>\n<\/p>\n<p>\n\t&nbsp;\n<\/p>\n<p style=\"text-align: justify\">\n\t<span style=\"font-size:18px;\"><span style=\"font-family:times new roman,times,serif;\">Jiang, Y., et al. (2013). Hallway based automatic indoor floorplan construction using room fingerprints. Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing, ACM.<\/span><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>&nbsp; \u5229\u7528\u623f\u95f4\u6307\u7eb9\u57fa\u4e8e\u8d70\u5eca\u81ea\u52a8\u6784\u5efa\u5ba4\u5185\u5730\u56fe Hallway based automatic indoor floorplan construction using room fingerprints &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;\u4eba\u4eec70%\u4ee5\u4e0a\u7684\u65f6\u95f4\u90fd\u5904\u5728\u5ba4\u5185\u7a7a\u95f4\u3002\u4e86\u89e3\u5ba4\u5185\u73af\u5883\u4fe1\u606f\u5bf9\u5e7f\u6cdb\u65b0\u5174\u7684\u79fb\u52a8\u793e\u4ea4\u5e94\u7528\u81f3\u5173\u91cd\u8981\u3002\u5728\u8fd9\u4e9b\u5e94\u7528\u4e2d\u5f80\u5f80\u9700\u8981\u5ba4\u5185\u697c\u5c42\u5e73\u9762\u56fe\u3002\u7136\u800c\uff0c\u5f88\u591a\u73af\u5883\u4e2d\u7684\u5ba4\u5185\u5730\u56fe\u4e0d\u53ef\u7528\u6216\u8005\u901a\u8fc7\u4eba\u5de5\u5236\u4f5c\u5730\u56fe\u5f80\u5f80\u8017\u65f6\u3001\u8017\u529b\u4e14\u5b58\u5728\u5f88\u591a\u8bef\u5dee\u3002\u672c\u6587\u4e2d\u4f5c\u8005\u8bbe\u8ba1\u4e86\u4e00\u79cd\u81ea\u52a8\u6784\u5efa\u5ba4\u5185\u5730\u56fe\u7684\u7cfb\u7edf\u3002\u8be5\u7cfb\u7edf\u901a\u8fc7\u5229\u7528Wi-Fi\u6307\u7eb9\u548c\u7528\u6237\u7684\u8fd0\u52a8\u7279\u5f81\u4fe1\u606f\uff0c\u901a\u8fc7\u4e09\u4e2a\u5173\u952e\u6b65\u9aa4\u81ea\u52a8\u6784\u5efa\u5ba4\u5185\u5730\u56fe\u3002 &nbsp; &nbsp; &nbsp; &nbsp;\u7b2c\u4e00\u6b65\u3001\u6784\u5efa\u623f\u95f4\u90bb\u63a5\u56fe\uff0c\u4ee5\u786e\u5b9a\u623f\u95f4\u4e4b\u95f4\u7684\u90bb\u63a5\u5173\u7cfb\uff1b &nbsp; &nbsp; &nbsp; &nbsp;\u7b2c\u4e8c\u6b65\u3001\u5b66\u4e60\u8d70\u5eca\u5e03\u5c40\uff0c\u4ee5\u4f30\u8ba1\u6cbf\u7740\u6bcf\u4e2a\u8d70\u5eca\u7684\u623f\u95f4\u5927\u5c0f\u548c\u623f\u95f4\u987a\u5e8f\uff1b &nbsp; &nbsp; &nbsp; &nbsp;\u7b2c\u4e09\u6b65\u3001\u8fdb\u884c\u4f38\u7f29\u5904\u7406\uff0c\u4ee5\u8c03\u6574\u623f\u95f4\u5927\u5c0f\u5e76\u4f18\u5316\u6574\u4e2a\u697c\u5c42\u5e73\u9762\u56fe\u7684\u7cbe\u5ea6\u3002 &nbsp; &nbsp; &nbsp; &nbsp;\u8be5\u7cfb\u7edf\u53ef\u4ee5\u7528\u5728\u65b0\u5174\u7684\u79fb\u52a8\u5e94\u7528\u4e2d\u7528\u4e8e\u751f\u6210\u3001\u4f7f\u7528\u3001\u5171\u4eab\u5ba4\u5185\u5730\u56fe\u3002 &nbsp; &nbsp; &nbsp;People spend approximately 70% of their time indoors.&nbsp;Understanding the indoor environments is therefore&nbsp;important for a wide range of emerging mobile personal&nbsp;and [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[9],"tags":[41,59],"_links":{"self":[{"href":"https:\/\/braininspirednavigation.com\/index.php?rest_route=\/wp\/v2\/posts\/166"}],"collection":[{"href":"https:\/\/braininspirednavigation.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/braininspirednavigation.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/braininspirednavigation.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/braininspirednavigation.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=166"}],"version-history":[{"count":4,"href":"https:\/\/braininspirednavigation.com\/index.php?rest_route=\/wp\/v2\/posts\/166\/revisions"}],"predecessor-version":[{"id":171,"href":"https:\/\/braininspirednavigation.com\/index.php?rest_route=\/wp\/v2\/posts\/166\/revisions\/171"}],"wp:attachment":[{"href":"https:\/\/braininspirednavigation.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=166"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/braininspirednavigation.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=166"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/braininspirednavigation.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=166"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}