{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T08:34:41Z","timestamp":1743150881563,"version":"3.40.3"},"publisher-location":"Cham","reference-count":35,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031514968"},{"type":"electronic","value":"9783031514975"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-3-031-51497-5_22","type":"book-chapter","created":{"date-parts":[[2024,1,31]],"date-time":"2024-01-31T09:16:09Z","timestamp":1706692569000},"page":"300-316","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Distributed Multiple Hypothesis Tracker for\u00a0Mobile Sensor Networks"],"prefix":"10.1007","author":[{"given":"Pujie","family":"Xin","sequence":"first","affiliation":[]},{"given":"Philip","family":"Dames","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,2,1]]},"reference":[{"issue":"1","key":"22_CR1","doi-asserted-by":"publisher","first-page":"113","DOI":"10.1177\/0278364913507324","volume":"33","author":"S Bhattacharya","year":"2014","unstructured":"Bhattacharya, S., Ghrist, R., Kumar, V.: Multi-robot coverage and exploration on Riemannian manifolds with boundaries. Int. J. Robot. Res. 33(1), 113\u2013137 (2014). https:\/\/doi.org\/10.1177\/0278364913507324","journal-title":"Int. J. Robot. Res."},{"issue":"1","key":"22_CR2","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1109\/MAES.2004.1263228","volume":"19","author":"S Blackman","year":"2004","unstructured":"Blackman, S.: Multiple hypothesis tracking for multiple target tracking. IEEE Aerosp. Electron. Syst. Mag. 19(1), 5\u201318 (2004). https:\/\/doi.org\/10.1109\/MAES.2004.1263228","journal-title":"IEEE Aerosp. Electron. Syst. Mag."},{"key":"22_CR3","unstructured":"Blackman, S., Popoli, R.: Design and Analysis of Modern Tracking Systems. Artech House Radar Library. Artech House (1999)"},{"key":"22_CR4","doi-asserted-by":"publisher","unstructured":"Chen, J., Xie, Z., Dames, P.: The semantic PHD filter for multi-class target tracking: from theory to practice. Robot. Auton. Syst. 149 (2022). https:\/\/doi.org\/10.1016\/j.robot.2021.103947","DOI":"10.1016\/j.robot.2021.103947"},{"key":"22_CR5","doi-asserted-by":"publisher","unstructured":"Chong, C.Y., Mori, S., Reid, D.B.: Forty years of multiple hypothesis tracking - a review of key developments. In: 2018 21st International Conference on Information Fusion (FUSION), pp. 452\u2013459 (2018). https:\/\/doi.org\/10.23919\/ICIF.2018.8455386","DOI":"10.23919\/ICIF.2018.8455386"},{"key":"22_CR6","unstructured":"Coraluppi, S., et al.: Distributed MHT with active and passive sensors. In: 2015 18th International Conference on Information Fusion (Fusion), pp. 2065\u20132072 (2015)"},{"issue":"2","key":"22_CR7","doi-asserted-by":"publisher","first-page":"243","DOI":"10.1109\/TRA.2004.824698","volume":"20","author":"J Cortes","year":"2004","unstructured":"Cortes, J., Martinez, S., Karatas, T., Bullo, F.: Coverage control for mobile sensing networks. IEEE Trans. Robot. Autom. 20(2), 243\u2013255 (2004). https:\/\/doi.org\/10.1109\/TRA.2004.824698","journal-title":"IEEE Trans. Robot. Autom."},{"key":"22_CR8","unstructured":"Dames, P., Kumar, V.: Experimental characterization of a bearing-only sensor for use with the PHD filter (2015)"},{"issue":"3","key":"22_CR9","doi-asserted-by":"publisher","first-page":"673","DOI":"10.1007\/s10514-019-09840-9","volume":"44","author":"PM Dames","year":"2020","unstructured":"Dames, P.M.: Distributed multi-target search and tracking using the PHD filter. Auton. Robot. 44(3), 673\u2013689 (2020). https:\/\/doi.org\/10.1007\/s10514-019-09840-9","journal-title":"Auton. Robot."},{"key":"22_CR10","doi-asserted-by":"publisher","unstructured":"Deutsch, I., Liu, M., Siegwart, R.: A framework for multi-robot pose graph SLAM. In: 2016 IEEE International Conference on Real-time Computing and Robotics (RCAR), pp. 567\u2013572 (2016). https:\/\/doi.org\/10.1109\/RCAR.2016.7784092","DOI":"10.1109\/RCAR.2016.7784092"},{"key":"22_CR11","doi-asserted-by":"publisher","unstructured":"Doitsidis, L., et al.: Optimal surveillance coverage for teams of micro aerial vehicles in GPS-denied environments using onboard vision. Auton. Robot. 33(1), 173\u2013188 (2012). https:\/\/doi.org\/10.1007\/s10514-012-9292-1","DOI":"10.1007\/s10514-012-9292-1"},{"issue":"4","key":"22_CR12","doi-asserted-by":"publisher","first-page":"637","DOI":"10.1137\/S0036144599352836","volume":"41","author":"Q Du","year":"1999","unstructured":"Du, Q., Faber, V., Gunzburger, M.: Centroidal Voronoi tessellations: applications and algorithms. SIAM Rev. 41(4), 637\u2013676 (1999). https:\/\/doi.org\/10.1137\/S0036144599352836","journal-title":"SIAM Rev."},{"issue":"3","key":"22_CR13","doi-asserted-by":"publisher","first-page":"173","DOI":"10.1109\/JOE.1983.1145560","volume":"8","author":"T Fortmann","year":"1983","unstructured":"Fortmann, T., Bar-Shalom, Y., Scheffe, M.: Sonar tracking of multiple targets using joint probabilistic data association. IEEE J. Oceanic Eng. 8(3), 173\u2013184 (1983). https:\/\/doi.org\/10.1109\/JOE.1983.1145560","journal-title":"IEEE J. Oceanic Eng."},{"issue":"4","key":"22_CR14","doi-asserted-by":"publisher","first-page":"739","DOI":"10.1007\/s10514-017-9681-6","volume":"42","author":"A Goldhoorn","year":"2018","unstructured":"Goldhoorn, A., Garrell, A., Alqu\u00e9zar, R., Sanfeliu, A.: Searching and tracking people with cooperative mobile robots. Auton. Robot. 42(4), 739\u2013759 (2018). https:\/\/doi.org\/10.1007\/s10514-017-9681-6","journal-title":"Auton. Robot."},{"issue":"2","key":"22_CR15","doi-asserted-by":"publisher","first-page":"895","DOI":"10.1007\/s10462-021-09996-w","volume":"55","author":"S Gronauer","year":"2022","unstructured":"Gronauer, S., Diepold, K.: Multi-agent deep reinforcement learning: a survey. Artif. Intell. Rev. 55(2), 895\u2013943 (2022). https:\/\/doi.org\/10.1007\/s10462-021-09996-w","journal-title":"Artif. Intell. Rev."},{"key":"22_CR16","doi-asserted-by":"crossref","unstructured":"Kim, C., Li, F., Ciptadi, A., Rehg, J.M.: Multiple hypothesis tracking revisited. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 4696\u20134704 (2015)","DOI":"10.1109\/ICCV.2015.533"},{"key":"22_CR17","doi-asserted-by":"publisher","unstructured":"Konstantinova, P., Udvarev, A., Semerdjiev, T.: A study of a target tracking algorithm using global nearest neighbor approach. In: Proceedings of the 4th International Conference Conference on Computer Systems and Technologies: E-Learning, CompSysTech 2003, pp. 290\u2013295 (2003). https:\/\/doi.org\/10.1145\/973620.973668","DOI":"10.1145\/973620.973668"},{"issue":"27","key":"22_CR18","doi-asserted-by":"publisher","first-page":"220","DOI":"10.3182\/20130925-2-DE-4044.00030","volume":"46","author":"SG Lee","year":"2013","unstructured":"Lee, S.G., Egerstedt, M.: Controlled coverage using time-varying density functions. IFAC Proc. Vol. 46(27), 220\u2013226 (2013). https:\/\/doi.org\/10.3182\/20130925-2-DE-4044.00030","journal-title":"IFAC Proc. Vol."},{"key":"22_CR19","doi-asserted-by":"publisher","first-page":"130","DOI":"10.1016\/j.sigpro.2019.01.020","volume":"159","author":"MR Leonard","year":"2019","unstructured":"Leonard, M.R., Zoubir, A.M.: Multi-target tracking in distributed sensor networks using particle PHD filters. Signal Process. 159, 130\u2013146 (2019)","journal-title":"Signal Process."},{"issue":"4","key":"22_CR20","doi-asserted-by":"publisher","first-page":"1152","DOI":"10.1109\/TAES.2003.1261119","volume":"39","author":"R Mahler","year":"2003","unstructured":"Mahler, R.: Multitarget bayes filtering via first-order multitarget moments. IEEE Trans. Aerosp. Electron. Syst. 39(4), 1152\u20131178 (2003). https:\/\/doi.org\/10.1109\/TAES.2003.1261119","journal-title":"IEEE Trans. Aerosp. Electron. Syst."},{"issue":"2","key":"22_CR21","doi-asserted-by":"publisher","first-page":"138","DOI":"10.1109\/TSMCC.2004.826267","volume":"34","author":"R Murphy","year":"2004","unstructured":"Murphy, R.: Human-robot interaction in rescue robotics. IEEE Trans. Syst. Man Cybern. Part C (Appl. Rev.) 34(2), 138\u2013153 (2004). https:\/\/doi.org\/10.1109\/TSMCC.2004.826267","journal-title":"IEEE Trans. Syst. Man Cybern. Part C (Appl. Rev.)"},{"issue":"1","key":"22_CR22","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1080\/10798587.1999.10750747","volume":"5","author":"LE Parker","year":"1999","unstructured":"Parker, L.E.: Cooperative robotics for multi-target observation. Intell. Autom. Soft Comput. 5(1), 5\u201319 (1999)","journal-title":"Intell. Autom. Soft Comput."},{"key":"22_CR23","doi-asserted-by":"publisher","unstructured":"Pierson, A., Rus, D.: Distributed target tracking in cluttered environments with guaranteed collision avoidance. In: 2017 International Symposium on Multi-Robot and Multi-Agent Systems (MRS), pp. 83\u201389 (2017). https:\/\/doi.org\/10.1109\/MRS.2017.8250935","DOI":"10.1109\/MRS.2017.8250935"},{"key":"22_CR24","series-title":"Springer Tracts in Advanced Robotics","doi-asserted-by":"publisher","first-page":"85","DOI":"10.1007\/978-3-642-00312-7_6","volume-title":"Algorithmic Foundation of Robotics VIII","author":"LCA Pimenta","year":"2010","unstructured":"Pimenta, L.C.A., et al.: Simultaneous coverage and tracking (SCAT) of moving targets with robot networks. In: Chirikjian, G.S., Choset, H., Morales, M., Murphey, T. (eds.) Algorithmic Foundation of Robotics VIII. Springer Tracts in Advanced Robotics, vol. 57, pp. 85\u201399. Springer, Heidelberg (2010). https:\/\/doi.org\/10.1007\/978-3-642-00312-7_6"},{"key":"22_CR25","doi-asserted-by":"publisher","first-page":"146264","DOI":"10.1109\/ACCESS.2019.2943253","volume":"7","author":"H Qie","year":"2019","unstructured":"Qie, H., Shi, D., Shen, T., Xu, X., Li, Y., Wang, L.: Joint optimization of multi-UAV target assignment and path planning based on multi-agent reinforcement learning. IEEE Access 7, 146264\u2013146272 (2019). https:\/\/doi.org\/10.1109\/ACCESS.2019.2943253","journal-title":"IEEE Access"},{"key":"22_CR26","series-title":"Springer Tracts in Advanced Robotics","doi-asserted-by":"publisher","first-page":"47","DOI":"10.1007\/978-3-642-14040-2_5","volume-title":"Underwater SLAM for Structured Environments Using an Imaging Sonar","author":"D Ribas","year":"2010","unstructured":"Ribas, D., Ridao, P., Neira, J.: Localization with an a priori Map. In: Ribas, D., Ridao, P., Neira, J. (eds.) Underwater SLAM for Structured Environments Using an Imaging Sonar. Springer Tracts in Advanced Robotics, vol. 65, pp. 47\u201375. Springer, Heidelberg (2010). https:\/\/doi.org\/10.1007\/978-3-642-14040-2_5"},{"issue":"4","key":"22_CR27","doi-asserted-by":"publisher","first-page":"729","DOI":"10.1007\/s10514-015-9491-7","volume":"40","author":"C Robin","year":"2016","unstructured":"Robin, C., Lacroix, S.: Multi-robot target detection and tracking: taxonomy and survey. Auton. Robot. 40(4), 729\u2013760 (2016)","journal-title":"Auton. Robot."},{"issue":"8","key":"22_CR28","doi-asserted-by":"publisher","first-page":"3447","DOI":"10.1109\/TSP.2008.920469","volume":"56","author":"D Schuhmacher","year":"2008","unstructured":"Schuhmacher, D., Vo, B.T., Vo, B.N.: A consistent metric for performance evaluation of multi-object filters. IEEE Trans. Signal Process. 56(8), 3447\u20133457 (2008). https:\/\/doi.org\/10.1109\/TSP.2008.920469","journal-title":"IEEE Trans. Signal Process."},{"key":"22_CR29","series-title":"Springer Tracts in Advanced Robotics","doi-asserted-by":"publisher","first-page":"455","DOI":"10.1007\/978-3-319-29363-9_26","volume-title":"Robotics Research","author":"M Schwager","year":"2017","unstructured":"Schwager, M., Dames, P., Rus, D., Kumar, V.: A multi-robot control policy for information gathering in the presence of unknown hazards. In: Christensen, H.I., Khatib, O. (eds.) Robotics Research. STAR, vol. 100, pp. 455\u2013472. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-29363-9_26"},{"key":"22_CR30","unstructured":"Stone, L.D., Streit, R.L., Corwin, T.L., Bell, K.L.: Bayesian Multiple Target Tracking. Artech House (2013)"},{"key":"22_CR31","unstructured":"Suresh, A.T., Yu, F.X., McMahan, H.B., Kumar, S.: Distributed mean estimation with limited communication. CoRR abs\/1611.00429 (2016)"},{"key":"22_CR32","volume-title":"Probabilistic Robotics","author":"S Thrun","year":"2005","unstructured":"Thrun, S., Burgard, W., Fox, D.: Probabilistic Robotics. MIT Press, Cambridge (2005)"},{"issue":"2","key":"22_CR33","doi-asserted-by":"publisher","first-page":"409","DOI":"10.1109\/TSP.2008.2007924","volume":"57","author":"BT Vo","year":"2009","unstructured":"Vo, B.T., Vo, B.N., Cantoni, A.: The cardinality balanced multi-target multi-bernoulli filter and its implementations. IEEE Trans. Signal Process. 57(2), 409\u2013423 (2009). https:\/\/doi.org\/10.1109\/TSP.2008.2007924","journal-title":"IEEE Trans. Signal Process."},{"issue":"12","key":"22_CR34","doi-asserted-by":"publisher","first-page":"399","DOI":"10.5772\/57313","volume":"10","author":"Z Yan","year":"2013","unstructured":"Yan, Z., Jouandeau, N., Cherif, A.A.: A survey and analysis of multi-robot coordination. Int. J. Adv. Rob. Syst. 10(12), 399 (2013). https:\/\/doi.org\/10.5772\/57313","journal-title":"Int. J. Adv. Rob. Syst."},{"issue":"7","key":"22_CR35","doi-asserted-by":"publisher","first-page":"100","DOI":"10.1016\/j.cja.2021.09.008","volume":"35","author":"W Zhou","year":"2022","unstructured":"Zhou, W., Li, J., Liu, Z., Shen, L.: Improving multi-target cooperative tracking guidance for UAV swarms using multi-agent reinforcement learning. Chin. J. Aeronaut. 35(7), 100\u2013112 (2022). https:\/\/doi.org\/10.1016\/j.cja.2021.09.008","journal-title":"Chin. J. Aeronaut."}],"container-title":["Springer Proceedings in Advanced Robotics","Distributed Autonomous Robotic Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-51497-5_22","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,31]],"date-time":"2024-01-31T09:28:44Z","timestamp":1706693324000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-51497-5_22"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031514968","9783031514975"],"references-count":35,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-51497-5_22","relation":{},"ISSN":["2511-1256","2511-1264"],"issn-type":[{"type":"print","value":"2511-1256"},{"type":"electronic","value":"2511-1264"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"1 February 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"DARS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Symposium on Distributed Autonomous Robotic Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Montb\u00e9liard","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"France","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 November 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30 November 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"dars2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/dars2022.org\/#\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}