{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,13]],"date-time":"2026-03-13T18:10:46Z","timestamp":1773425446213,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":42,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,9,9]],"date-time":"2021-09-09T00:00:00Z","timestamp":1631145600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Alibaba Group"},{"name":"Singapore MOE","award":["RG18\/20"],"award-info":[{"award-number":["RG18\/20"]}]},{"name":"NRF Singapore","award":["SDSC-2019-001"],"award-info":[{"award-number":["SDSC-2019-001"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,9,9]]},"DOI":"10.1145\/3447993.3448617","type":"proceedings-article","created":{"date-parts":[[2021,3,12]],"date-time":"2021-03-12T23:41:25Z","timestamp":1615592485000},"page":"188-200","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":50,"title":["Large-scale vehicle trajectory reconstruction with camera sensing network"],"prefix":"10.1145","author":[{"given":"Panrong","family":"Tong","sequence":"first","affiliation":[{"name":"Nanyang Technological University, Singapore"}]},{"given":"Mingqian","family":"Li","sequence":"additional","affiliation":[{"name":"Nanyang Technological University, Singapore"}]},{"given":"Mo","family":"Li","sequence":"additional","affiliation":[{"name":"Nanyang Technological University, Singapore"}]},{"given":"Jianqiang","family":"Huang","sequence":"additional","affiliation":[{"name":"Alibaba Group, China"}]},{"given":"Xiansheng","family":"Hua","sequence":"additional","affiliation":[{"name":"Alibaba Group, China"}]}],"member":"320","published-online":{"date-parts":[[2021,9,9]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"A navigation service by Gaode Maps. https:\/\/lbs.amap.com\/.  A navigation service by Gaode Maps. https:\/\/lbs.amap.com\/."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2018.2796240"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2014.41"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/502512.502546"},{"key":"e_1_3_2_1_5_1","first-page":"160","volume-title":"Density-based clustering based on hierarchical density estimates","author":"Campello R. J.","year":"2013","unstructured":"R. J. Campello , D. Moulavi , and J. Sander . Density-based clustering based on hierarchical density estimates . In Springer PAKDD , pages 160 -- 172 , 2013 . R. J. Campello, D. Moulavi, and J. Sander. Density-based clustering based on hierarchical density estimates. In Springer PAKDD, pages 160--172, 2013."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10514-005-0609-1"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/3274895.3274908"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/2348543.2348587"},{"key":"e_1_3_2_1_9_1","first-page":"3997","volume-title":"IEEE CVPR","author":"He B.","year":"2019","unstructured":"B. He , J. Li , Y. Zhao , and Y. Tian . Part-regularized near-duplicate vehicle reidentification . In IEEE CVPR , pages 3997 -- 4005 , 2019 . B. He, J. Li, Y. Zhao, and Y. Tian. Part-regularized near-duplicate vehicle reidentification. In IEEE CVPR, pages 3997--4005, 2019."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/3274895.3274974"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/3055031.3055085"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/3241539.3241545"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/2684822.2685313"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/2348543.2348581"},{"key":"e_1_3_2_1_15_1","first-page":"21","volume-title":"Ssd: Single shot multibox detector","author":"Liu W.","year":"2016","unstructured":"W. Liu , D. Anguelov , D. Erhan , C. Szegedy , S. Reed , C.-Y. Fu , and A. C. Berg . Ssd: Single shot multibox detector . In Springer ECCV , pages 21 -- 37 , 2016 . W. Liu, D. Anguelov, D. Erhan, C. Szegedy, S. Reed, C.-Y. Fu, and A. C. Berg. Ssd: Single shot multibox detector. In Springer ECCV, pages 21--37, 2016."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46475-6_53"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2017.2751966"},{"issue":"7","key":"e_1_3_2_1_18_1","first-page":"1880","article-title":"Mining road network correlation for traffic estimation via compressive sensing","volume":"17","author":"Liu Z.","year":"2016","unstructured":"Z. Liu , Z. Li , M. Li , W. Xing , and D. Lu . Mining road network correlation for traffic estimation via compressive sensing . IEEE TITS , 17 ( 7 ): 1880 -- 1893 , 2016 . Z. Liu, Z. Li, M. Li, W. Xing, and D. Lu. Mining road network correlation for traffic estimation via compressive sensing. IEEE TITS, 17(7):1880--1893, 2016.","journal-title":"IEEE TITS"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.2018.1700411"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995575"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/1814433.1814448"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/1653771.1653818"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/3132211.3134446"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.3233\/IDA-2007-11508"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/3241539.3241582"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2646371"},{"key":"e_1_3_2_1_27_1","volume-title":"Very deep convolutional networks for large-scale image recognition. arXiv","author":"Simonyan K.","year":"2014","unstructured":"K. Simonyan and A. Zisserman . Very deep convolutional networks for large-scale image recognition. arXiv , 2014 . K. Simonyan and A. Zisserman. Very deep convolutional networks for large-scale image recognition. arXiv, 2014."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/3241539.3267769"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2956786"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/3300061.3300132"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2019.2940950"},{"issue":"17","key":"e_1_3_2_1_32_1","first-page":"2991","article-title":"Vdnet: an infrastructure-less uav-assisted sparse vanet system with vehicle location prediction","volume":"16","author":"Wang X.","year":"2016","unstructured":"X. Wang , L. Fu , Y. Zhang , X. Gan , and X. Wang . Vdnet: an infrastructure-less uav-assisted sparse vanet system with vehicle location prediction . Wiley WCMC , 16 ( 17 ): 2991 -- 3003 , 2016 . X. Wang, L. Fu, Y. Zhang, X. Gan, and X. Wang. Vdnet: an infrastructure-less uav-assisted sparse vanet system with vehicle location prediction. Wiley WCMC, 16(17):2991--3003, 2016.","journal-title":"Wiley WCMC"},{"issue":"8","key":"e_1_3_2_1_33_1","first-page":"2536","article-title":"Crowdsensing-based consensus incident report for road traffic acquisition","volume":"19","author":"Wang X.","year":"2017","unstructured":"X. Wang , J. Zhang , X. Tian , X. Gan , Y. Guan , and X. Wang . Crowdsensing-based consensus incident report for road traffic acquisition . IEEE TITS , 19 ( 8 ): 2536 -- 2547 , 2017 . X. Wang, J. Zhang, X. Tian, X. Gan, Y. Guan, and X. Wang. Crowdsensing-based consensus incident report for road traffic acquisition. IEEE TITS, 19(8):2536--2547, 2017.","journal-title":"IEEE TITS"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623656"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.49"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/3300061.3300130"},{"key":"e_1_3_2_1_37_1","volume-title":"Discovering urban functional zones using latent activity trajectories","author":"Yuan N. J.","year":"2014","unstructured":"N. J. Yuan , Y. Zheng , X. Xie , Y. Wang , K. Zheng , and H. Xiong . Discovering urban functional zones using latent activity trajectories . IEEE TKDE , 2014 . N. J. Yuan, Y. Zheng, X. Xie, Y. Wang, K. Zheng, and H. Xiong. Discovering urban functional zones using latent activity trajectories. IEEE TKDE, 2014."},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1145\/2517351.2517361"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1145\/2789168.2790123"},{"key":"e_1_3_2_1_40_1","first-page":"1144","volume-title":"IEEE ICDE","author":"Zheng K.","year":"2012","unstructured":"K. Zheng , Y. Zheng , X. Xie , and X. Zhou . Reducing uncertainty of low-samplingrate trajectories . In IEEE ICDE , pages 1144 -- 1155 , 2012 . K. Zheng, Y. Zheng, X. Xie, and X. Zhou. Reducing uncertainty of low-samplingrate trajectories. In IEEE ICDE, pages 1144--1155, 2012."},{"key":"e_1_3_2_1_41_1","first-page":"379","volume-title":"ACM MobiSys","author":"Zhou P.","year":"2012","unstructured":"P. Zhou , Y. Zheng , and M. Li . How long to wait? predicting bus arrival time with mobile phone based participatory sensing . In ACM MobiSys , pages 379 -- 392 , 2012 . P. Zhou, Y. Zheng, and M. Li. How long to wait? predicting bus arrival time with mobile phone based participatory sensing. In ACM MobiSys, pages 379--392, 2012."},{"key":"e_1_3_2_1_42_1","first-page":"6489","volume-title":"IEEE CVPR","author":"Zhou Y.","year":"2018","unstructured":"Y. Zhou and L. Shao . Aware attentive multi-view inference for vehicle reidentification . In IEEE CVPR , pages 6489 -- 6498 , 2018 . Y. Zhou and L. Shao. Aware attentive multi-view inference for vehicle reidentification. In IEEE CVPR, pages 6489--6498, 2018."}],"event":{"name":"ACM MobiCom '21: The 27th Annual International Conference on Mobile Computing and Networking","location":"New Orleans Louisiana","acronym":"ACM MobiCom '21","sponsor":["SIGMOBILE ACM Special Interest Group on Mobility of Systems, Users, Data and Computing"]},"container-title":["Proceedings of the 27th Annual International Conference on Mobile Computing and Networking"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3447993.3448617","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3447993.3448617","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T21:28:24Z","timestamp":1750195704000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3447993.3448617"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,9,9]]},"references-count":42,"alternative-id":["10.1145\/3447993.3448617","10.1145\/3447993"],"URL":"https:\/\/doi.org\/10.1145\/3447993.3448617","relation":{},"subject":[],"published":{"date-parts":[[2021,9,9]]},"assertion":[{"value":"2021-09-09","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}