Matches in SemOpenAlex for { <https://semopenalex.org/work/W2893149982> ?p ?o ?g. }
- W2893149982 endingPage "1092" @default.
- W2893149982 startingPage "1085" @default.
- W2893149982 abstract "The combination of aerial survey capabilities of Unmanned Aerial Vehicles with targeted intervention abilities of agricultural Unmanned Ground Vehicles can significantly improve the effectiveness of robotic systems applied to precision agriculture. In this context, building and updating a common map of the field is an essential but challenging task. The maps built using robots of different types show differences in size, resolution and scale, the associated geolocation data may be inaccurate and biased, while the repetitiveness of both visual appearance and geometric structures found within agricultural contexts render classical map merging techniques ineffective. In this paper we propose AgriColMap, a novel map registration pipeline that leverages a grid-based multimodal environment representation which includes a vegetation index map and a Digital Surface Model. We cast the data association problem between maps built from UAVs and UGVs as a multimodal, large displacement dense optical flow estimation. The dominant, coherent flows, selected using a voting scheme, are used as point-to-point correspondences to infer a preliminary non-rigid alignment between the maps. A final refinement is then performed, by exploiting only meaningful parts of the registered maps. We evaluate our system using real world data for 3 fields with different crop species. The results show that our method outperforms several state of the art map registration and matching techniques by a large margin, and has a higher tolerance to large initial misalignments. We release an implementation of the proposed approach along with the acquired datasets with this paper." @default.
- W2893149982 created "2018-10-05" @default.
- W2893149982 creator A5004221958 @default.
- W2893149982 creator A5011514454 @default.
- W2893149982 creator A5013703356 @default.
- W2893149982 creator A5021255100 @default.
- W2893149982 creator A5035870534 @default.
- W2893149982 creator A5059792297 @default.
- W2893149982 date "2019-04-01" @default.
- W2893149982 modified "2023-10-05" @default.
- W2893149982 title "AgriColMap: Aerial-Ground Collaborative 3D Mapping for Precision Farming" @default.
- W2893149982 cites W1536078990 @default.
- W2893149982 cites W1578285471 @default.
- W2893149982 cites W1902799669 @default.
- W2893149982 cites W1971812294 @default.
- W2893149982 cites W1990101796 @default.
- W2893149982 cites W2029724021 @default.
- W2893149982 cites W2049768161 @default.
- W2893149982 cites W2054060128 @default.
- W2893149982 cites W2058933750 @default.
- W2893149982 cites W2092856963 @default.
- W2893149982 cites W2104502110 @default.
- W2893149982 cites W2104853049 @default.
- W2893149982 cites W2105607214 @default.
- W2893149982 cites W2115991397 @default.
- W2893149982 cites W2117228865 @default.
- W2893149982 cites W2118713275 @default.
- W2893149982 cites W2119605622 @default.
- W2893149982 cites W2134236847 @default.
- W2893149982 cites W2157270587 @default.
- W2893149982 cites W2160821342 @default.
- W2893149982 cites W2170229019 @default.
- W2893149982 cites W2171490473 @default.
- W2893149982 cites W2344109021 @default.
- W2893149982 cites W2441099548 @default.
- W2893149982 cites W2566688177 @default.
- W2893149982 cites W2573552470 @default.
- W2893149982 cites W2599464279 @default.
- W2893149982 cites W2809225792 @default.
- W2893149982 cites W2962824291 @default.
- W2893149982 cites W2962846261 @default.
- W2893149982 cites W2963388505 @default.
- W2893149982 cites W3103917560 @default.
- W2893149982 cites W4237347581 @default.
- W2893149982 cites W4248122835 @default.
- W2893149982 doi "https://doi.org/10.1109/lra.2019.2894468" @default.
- W2893149982 hasPublicationYear "2019" @default.
- W2893149982 type Work @default.
- W2893149982 sameAs 2893149982 @default.
- W2893149982 citedByCount "58" @default.
- W2893149982 countsByYear W28931499822019 @default.
- W2893149982 countsByYear W28931499822020 @default.
- W2893149982 countsByYear W28931499822021 @default.
- W2893149982 countsByYear W28931499822022 @default.
- W2893149982 countsByYear W28931499822023 @default.
- W2893149982 crossrefType "journal-article" @default.
- W2893149982 hasAuthorship W2893149982A5004221958 @default.
- W2893149982 hasAuthorship W2893149982A5011514454 @default.
- W2893149982 hasAuthorship W2893149982A5013703356 @default.
- W2893149982 hasAuthorship W2893149982A5021255100 @default.
- W2893149982 hasAuthorship W2893149982A5035870534 @default.
- W2893149982 hasAuthorship W2893149982A5059792297 @default.
- W2893149982 hasBestOaLocation W28931499822 @default.
- W2893149982 hasConcept C105795698 @default.
- W2893149982 hasConcept C118518473 @default.
- W2893149982 hasConcept C120217122 @default.
- W2893149982 hasConcept C124101348 @default.
- W2893149982 hasConcept C13280743 @default.
- W2893149982 hasConcept C136764020 @default.
- W2893149982 hasConcept C146849305 @default.
- W2893149982 hasConcept C154945302 @default.
- W2893149982 hasConcept C156172958 @default.
- W2893149982 hasConcept C165064840 @default.
- W2893149982 hasConcept C166957645 @default.
- W2893149982 hasConcept C181672929 @default.
- W2893149982 hasConcept C187691185 @default.
- W2893149982 hasConcept C19966478 @default.
- W2893149982 hasConcept C202444582 @default.
- W2893149982 hasConcept C205649164 @default.
- W2893149982 hasConcept C22041718 @default.
- W2893149982 hasConcept C2778755073 @default.
- W2893149982 hasConcept C2779343474 @default.
- W2893149982 hasConcept C31972630 @default.
- W2893149982 hasConcept C33923547 @default.
- W2893149982 hasConcept C41008148 @default.
- W2893149982 hasConcept C49937458 @default.
- W2893149982 hasConcept C58640448 @default.
- W2893149982 hasConcept C62649853 @default.
- W2893149982 hasConcept C90509273 @default.
- W2893149982 hasConcept C9652623 @default.
- W2893149982 hasConceptScore W2893149982C105795698 @default.
- W2893149982 hasConceptScore W2893149982C118518473 @default.
- W2893149982 hasConceptScore W2893149982C120217122 @default.
- W2893149982 hasConceptScore W2893149982C124101348 @default.
- W2893149982 hasConceptScore W2893149982C13280743 @default.
- W2893149982 hasConceptScore W2893149982C136764020 @default.
- W2893149982 hasConceptScore W2893149982C146849305 @default.
- W2893149982 hasConceptScore W2893149982C154945302 @default.