{"id":1046,"date":"2006-09-06T05:56:24","date_gmt":"2006-09-06T09:56:24","guid":{"rendered":"http:\/\/mseas.net16.net\/?p=1046"},"modified":"2021-08-16T21:08:06","modified_gmt":"2021-08-17T01:08:06","slug":"path-planning-methods-for-adaptive-sampling-of-environmental-and-acoustical-ocean-fields","status":"publish","type":"post","link":"https:\/\/mseas.mit.edu\/?p=1046","title":{"rendered":"Path Planning Methods for Adaptive Sampling of Environmental and Acoustical Ocean Fields"},"content":{"rendered":"Adaptive sampling aims to predict the types and\r\nlocations of additional observations that are most useful for specific\r\nobjectives, under the constraints of the available observing\r\nnetwork. Path planning refers to the computation of the routes\r\nof the assets that are part of the adaptive component of the\r\nobserving network. In this paper, we present two path planning\r\nmethods based on Mixed Integer Linear Programming (MILP).\r\nThe methods are illustrated with some examples based on environmental\r\nocean fields and compared to highlight their strengths\r\nand weaknesses. The stronger method is further demonstrated on\r\na number of examples covering multi-vehicle and multi-day path\r\nplanning, based on simulations for the Monterey Bay region.\r\nThe framework presented is powerful and flexible enough to\r\naccommodate changes in scenarios. To demonstrate this feature,\r\nacoustical path planning is also discussed.","protected":false},"excerpt":{"rendered":"<p>Adaptive sampling aims to predict the types and locations of additional observations that are most useful for specific objectives, under the constraints of the available observing network. Path planning refers to the computation of the routes of the assets that are part of the adaptive component of the observing network. In this paper, we present [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[183,37,35,38,40,5,185,59,63,194,57],"tags":[],"class_list":["post-1046","post","type-post","status-publish","format-standard","hentry","category-science-of-autonomy","category-applications-to-ocean-dynamics","category-optimal-path-planning","category-physical-oceanography","category-acoustical-physical-interactions","category-publications","category-adaptive-sampling","category-papers-in-refereed-journals-physical-oceanography","category-papers-in-refereed-journals-optimal-path-planning","category-papers-in-refereed-journals-adaptive-sampling","category-papers-in-refereed-journals-acoustical-physical-interactions"],"_links":{"self":[{"href":"https:\/\/mseas.mit.edu\/index.php?rest_route=\/wp\/v2\/posts\/1046","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/mseas.mit.edu\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mseas.mit.edu\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mseas.mit.edu\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/mseas.mit.edu\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1046"}],"version-history":[{"count":3,"href":"https:\/\/mseas.mit.edu\/index.php?rest_route=\/wp\/v2\/posts\/1046\/revisions"}],"predecessor-version":[{"id":2518,"href":"https:\/\/mseas.mit.edu\/index.php?rest_route=\/wp\/v2\/posts\/1046\/revisions\/2518"}],"wp:attachment":[{"href":"https:\/\/mseas.mit.edu\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1046"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mseas.mit.edu\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=1046"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mseas.mit.edu\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=1046"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}