{"id":156,"date":"2015-08-03T11:42:58","date_gmt":"2015-08-03T03:42:58","guid":{"rendered":"https:\/\/www.cognav.net\/?p=156"},"modified":"2015-08-03T11:45:36","modified_gmt":"2015-08-03T03:45:36","slug":"map%ef%bc%9a%e4%b8%80%e7%a7%8d%e8%87%aa%e5%8a%a8%e5%9c%b0%e5%9b%be%e8%af%ad%e4%b9%89%e8%af%86%e5%88%ab%e7%9a%84%e4%bc%97%e5%8c%85%e6%84%9f%e7%9f%a5%e7%b3%bb%e7%bb%9f","status":"publish","type":"post","link":"https:\/\/braininspirednavigation.com\/?p=156","title":{"rendered":"Map++\uff1a\u4e00\u79cd\u81ea\u52a8\u5730\u56fe\u8bed\u4e49\u8bc6\u522b\u7684\u4f17\u5305\u611f\u77e5\u7cfb\u7edf"},"content":{"rendered":"<p style=\"text-align: center\">\n\t<span style=\"font-size:18px;\"><span style=\"font-family:times new roman,times,serif;\">Map++\uff1a\u4e00\u79cd\u81ea\u52a8\u5730\u56fe\u8bed\u4e49\u8bc6\u522b\u7684\u4f17\u5305\u611f\u77e5\u7cfb\u7edf<\/span><\/span>\n<\/p>\n<p style=\"text-align: center\">\n\t<span style=\"font-size:18px;\"><span style=\"font-family:times new roman,times,serif;\">Map++: A Crowd-sensing System for Automatic Map Semantics Identification<\/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;\">&nbsp; &nbsp; &nbsp; &nbsp; \u5546\u4e1a\u7684\u6216\u514d\u8d39\u7684\u6570\u5b57\u5730\u56fe\u670d\u52a1\u5df2\u7ecf\u6210\u4e3a\u6211\u4eec\u65e5\u5e38\u751f\u6d3b\u4e2d\u5f88\u91cd\u8981\u7684\u4e00\u90e8\u5206\u3002\u8fd9\u4e9b\u670d\u52a1\u8fd8\u5b58\u5728\u66f4\u5927\u7684\u6539\u8fdb\u7a7a\u95f4\uff0c\u6bd4\u5982\u901a\u8fc7\u4e30\u5bcc\u7684\u8bed\u4e49\u4fe1\u606f\u6765\u589e\u5f3a\u5b83\u7684\u529f\u80fd\u3002\u672c\u6587\u4e2d\u4f5c\u8005\u63d0\u51fa\u4e86\u4e00\u79cdMap++\u7cfb\u7edf\uff0c\u80fd\u591f\u5229\u7528\u6807\u51c6\u7684\u624b\u673a\u4f20\u611f\u5668\u4ee5\u4f17\u5305\u611f\u77e5\u7684\u65b9\u5f0f\u7528\u4e0d\u540c\u7684\u9053\u8def\u8bed\u4e49\u4fe1\u606f\u4e30\u5bcc\u6570\u5b57\u5730\u56fe\uff0c\u6bd4\u5982\u96a7\u9053\u3001\u98a0\u7c38\u8def\u6bb5\u3001\u6865\u3001\u4eba\u884c\u6865\u3001\u4eba\u884c\u6a2a\u9053\u548c\u9053\u8def\u5bb9\u91cf\u7b49\u3002\u901a\u8fc7\u5206\u6790\u53ef\u77e5\uff0c\u4eba\u4eec\u5728\u4e58\u8f66\u6216\u884c\u8d70\u8fc7\u7a0b\u4e2d\u6240\u643a\u5e26\u7684\u624b\u673a\u4f20\u611f\u5668\u7279\u5f81\u53d7\u4e0d\u540c\u9053\u8def\u7279\u5f81\u7684\u5f71\u54cd\uff0c\u56e0\u6b64\uff0c\u53ef\u4ee5\u4ece\u4e2d\u6316\u6398\u6269\u5c55\u514d\u8d39\u548c\u5546\u4e1a\u5236\u56fe\u670d\u52a1\u4e2d\u7684\u8981\u7d20\u3002\u4f5c\u8005\u8bbe\u8ba1\u5b9e\u73b0\u4e86\u4e00\u5957Map++\u5e76\u5728\u5927\u57ce\u5e02\u4e2d\u8fdb\u884c\u4e86\u8bc4\u4f30\u3002\u8bc4\u4f30\u7ed3\u679c\u8868\u660e\uff0cMap++\u5728\u884c\u4eba\u4e58\u8f66\u6216\u884c\u8d70\u8fc7\u7a0b\u4e2d\u7684\u68c0\u6d4b\u4e0d\u540c\u8bed\u4e49\u7cbe\u5ea6\u5206\u522b\u4e3a\uff1a\u9519\u62a5\u7387\uff08False Positive Rate\uff09 3%\u3001\u6f0f\u62a5\u7387(False Negative Rate)6%\u3002<\/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-size:18px;\"><span style=\"font-family:times new roman,times,serif;\"><strong>&nbsp; &nbsp; &nbsp;Abstract<\/strong> Digital maps have become a part of our daily life with a number of commercial and free map services. These services have still a huge potential for enhancement with rich semantic information to support a large class of mapping applications. In this paper, the authors present Map++, a system that leverages standard cell-phone sensors in a crowdsensing approach to automatically enrich digital maps with different road semantics like tunnels, bumps, bridges, footbridges, crosswalks, road capacity, among others. The analysis shows that cell-phones sensors with humans in vehicles or walking get affected by the different road features, which can be mined to extend the features of both free and commercial mapping services. They present the design and implementation of Map++ and evaluate it in a large city. The evaluation shows that the approach can detect the different semantics accurately with at most 3% false positive rate and 6% false negative rate for both vehicle and pedestrian-based features. Moreover, they show that Map++ has a small energy footprint on the cell-phones, highlighting its promise as a ubiquitous digital maps enriching service.<\/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-size:18px;\"><span style=\"font-family:times new roman,times,serif;\">In summary, the contributions are three-fold:<\/span><\/span>\n<\/p>\n<p style=\"text-align: justify;\">\n\t<span style=\"font-size:18px;\"><span style=\"font-family:times new roman,times,serif;\">&bull; Present the Map++ architecture to automatically crowdsense and identify map semantics from available sensor readings without inferring any overhead on the user and with minimal energy consumption.<\/span><\/span>\n<\/p>\n<p style=\"text-align: justify;\">\n\t<span style=\"font-size:18px;\"><span style=\"font-family:times new roman,times,serif;\">&bull; Provide a framework for extracting the different map features from both pedestrian and in-vehicle traces.<\/span><\/span>\n<\/p>\n<p style=\"text-align: justify;\">\n\t<span style=\"font-size:18px;\"><span style=\"font-family:times new roman,times,serif;\">&bull; Implement Map++ on Android devices and evaluate its accuracy and energy-efficiency in a typical city.<\/span><\/span>\n<\/p>\n<p style=\"text-align: center\">\n\t<img decoding=\"async\" alt=\"\" src=\"https:\/\/www.braininspirednavigation.com\/wp-content\/uploads\/2015\/08\/080315_0339_Map1.png\" \/>\n<\/p>\n<p style=\"text-align: center\">\n\t<span style=\"font-family:times new roman,times,serif;\"><span style=\"font-size:16px;\">The Map++ system architecture<\/span><\/span>\n<\/p>\n<p style=\"text-align: center\">\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;\">Aly H, Basalamah A, Youssef M. <strong>Map++: A crowd-sensing system for automatic map semantics identificatio<\/strong>n[C]\/\/ 2014 Eleventh Annual IEEE International Conference on Sensing, Communication, and Networking (SECON), IEEE, 2014:546-554.<\/span><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Map++\uff1a\u4e00\u79cd\u81ea\u52a8\u5730\u56fe\u8bed\u4e49\u8bc6\u522b\u7684\u4f17\u5305\u611f\u77e5\u7cfb\u7edf Map++: A Crowd-sensing System for Automatic Map Semantics Identification &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; \u5546\u4e1a\u7684\u6216\u514d\u8d39\u7684\u6570\u5b57\u5730\u56fe\u670d\u52a1\u5df2\u7ecf\u6210\u4e3a\u6211\u4eec\u65e5\u5e38\u751f\u6d3b\u4e2d\u5f88\u91cd\u8981\u7684\u4e00\u90e8\u5206\u3002\u8fd9\u4e9b\u670d\u52a1\u8fd8\u5b58\u5728\u66f4\u5927\u7684\u6539\u8fdb\u7a7a\u95f4\uff0c\u6bd4\u5982\u901a\u8fc7\u4e30\u5bcc\u7684\u8bed\u4e49\u4fe1\u606f\u6765\u589e\u5f3a\u5b83\u7684\u529f\u80fd\u3002\u672c\u6587\u4e2d\u4f5c\u8005\u63d0\u51fa\u4e86\u4e00\u79cdMap++\u7cfb\u7edf\uff0c\u80fd\u591f\u5229\u7528\u6807\u51c6\u7684\u624b\u673a\u4f20\u611f\u5668\u4ee5\u4f17\u5305\u611f\u77e5\u7684\u65b9\u5f0f\u7528\u4e0d\u540c\u7684\u9053\u8def\u8bed\u4e49\u4fe1\u606f\u4e30\u5bcc\u6570\u5b57\u5730\u56fe\uff0c\u6bd4\u5982\u96a7\u9053\u3001\u98a0\u7c38\u8def\u6bb5\u3001\u6865\u3001\u4eba\u884c\u6865\u3001\u4eba\u884c\u6a2a\u9053\u548c\u9053\u8def\u5bb9\u91cf\u7b49\u3002\u901a\u8fc7\u5206\u6790\u53ef\u77e5\uff0c\u4eba\u4eec\u5728\u4e58\u8f66\u6216\u884c\u8d70\u8fc7\u7a0b\u4e2d\u6240\u643a\u5e26\u7684\u624b\u673a\u4f20\u611f\u5668\u7279\u5f81\u53d7\u4e0d\u540c\u9053\u8def\u7279\u5f81\u7684\u5f71\u54cd\uff0c\u56e0\u6b64\uff0c\u53ef\u4ee5\u4ece\u4e2d\u6316\u6398\u6269\u5c55\u514d\u8d39\u548c\u5546\u4e1a\u5236\u56fe\u670d\u52a1\u4e2d\u7684\u8981\u7d20\u3002\u4f5c\u8005\u8bbe\u8ba1\u5b9e\u73b0\u4e86\u4e00\u5957Map++\u5e76\u5728\u5927\u57ce\u5e02\u4e2d\u8fdb\u884c\u4e86\u8bc4\u4f30\u3002\u8bc4\u4f30\u7ed3\u679c\u8868\u660e\uff0cMap++\u5728\u884c\u4eba\u4e58\u8f66\u6216\u884c\u8d70\u8fc7\u7a0b\u4e2d\u7684\u68c0\u6d4b\u4e0d\u540c\u8bed\u4e49\u7cbe\u5ea6\u5206\u522b\u4e3a\uff1a\u9519\u62a5\u7387\uff08False Positive Rate\uff09 3%\u3001\u6f0f\u62a5\u7387(False Negative Rate)6%\u3002 &nbsp; &nbsp; &nbsp; &nbsp;Abstract Digital maps have become a part of our daily life with a number of commercial and free map services. These services have still a huge potential for enhancement with rich [&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":[38,55,56],"_links":{"self":[{"href":"https:\/\/braininspirednavigation.com\/index.php?rest_route=\/wp\/v2\/posts\/156"}],"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=156"}],"version-history":[{"count":2,"href":"https:\/\/braininspirednavigation.com\/index.php?rest_route=\/wp\/v2\/posts\/156\/revisions"}],"predecessor-version":[{"id":158,"href":"https:\/\/braininspirednavigation.com\/index.php?rest_route=\/wp\/v2\/posts\/156\/revisions\/158"}],"wp:attachment":[{"href":"https:\/\/braininspirednavigation.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=156"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/braininspirednavigation.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=156"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/braininspirednavigation.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=156"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}