Matches in SemOpenAlex for { <https://semopenalex.org/work/W3104664645> ?p ?o ?g. }
Showing items 1 to 97 of
97
with 100 items per page.
- W3104664645 endingPage "2303" @default.
- W3104664645 startingPage "2296" @default.
- W3104664645 abstract "We present a cheap, lightweight, and fast fruit counting pipeline that uses a single monocular camera. Our pipeline that relies only on a monocular camera, achieves counting performance comparable to state-of-the-art fruit counting system that utilizes an expensive sensor suite including LiDAR and GPS/INS on a mango dataset. Our monocular camera pipeline begins with a fruit detection component that uses a deep neural network. It then uses semantic structure from motion (SFM) to convert these detections into fruit counts by estimating landmark locations of the fruit in 3D, and using these landmarks to identify double counting scenarios. There are many benefits of developing a low cost and lightweight fruit counting system, including applicability to agriculture in developing countries, where monetary constraints or unstructured environments necessitate cheaper hardware solutions." @default.
- W3104664645 created "2020-11-23" @default.
- W3104664645 creator A5002465820 @default.
- W3104664645 creator A5009613920 @default.
- W3104664645 creator A5012406812 @default.
- W3104664645 creator A5033213083 @default.
- W3104664645 creator A5034471826 @default.
- W3104664645 creator A5036660535 @default.
- W3104664645 creator A5071583176 @default.
- W3104664645 creator A5071634041 @default.
- W3104664645 date "2019-07-01" @default.
- W3104664645 modified "2023-09-30" @default.
- W3104664645 title "Monocular Camera Based Fruit Counting and Mapping With Semantic Data Association" @default.
- W3104664645 cites W1659349535 @default.
- W3104664645 cites W1903029394 @default.
- W3104664645 cites W2085261163 @default.
- W3104664645 cites W2105934661 @default.
- W3104664645 cites W2111308925 @default.
- W3104664645 cites W2127923214 @default.
- W3104664645 cites W2134974756 @default.
- W3104664645 cites W2141461755 @default.
- W3104664645 cites W2471962767 @default.
- W3104664645 cites W2543665758 @default.
- W3104664645 cites W2555576940 @default.
- W3104664645 cites W2578363764 @default.
- W3104664645 cites W2603364874 @default.
- W3104664645 cites W2611227133 @default.
- W3104664645 cites W2625680238 @default.
- W3104664645 cites W2781137302 @default.
- W3104664645 cites W2963353662 @default.
- W3104664645 cites W2963523428 @default.
- W3104664645 cites W639708223 @default.
- W3104664645 doi "https://doi.org/10.1109/lra.2019.2901987" @default.
- W3104664645 hasPublicationYear "2019" @default.
- W3104664645 type Work @default.
- W3104664645 sameAs 3104664645 @default.
- W3104664645 citedByCount "46" @default.
- W3104664645 countsByYear W31046646452019 @default.
- W3104664645 countsByYear W31046646452020 @default.
- W3104664645 countsByYear W31046646452021 @default.
- W3104664645 countsByYear W31046646452022 @default.
- W3104664645 countsByYear W31046646452023 @default.
- W3104664645 crossrefType "journal-article" @default.
- W3104664645 hasAuthorship W3104664645A5002465820 @default.
- W3104664645 hasAuthorship W3104664645A5009613920 @default.
- W3104664645 hasAuthorship W3104664645A5012406812 @default.
- W3104664645 hasAuthorship W3104664645A5033213083 @default.
- W3104664645 hasAuthorship W3104664645A5034471826 @default.
- W3104664645 hasAuthorship W3104664645A5036660535 @default.
- W3104664645 hasAuthorship W3104664645A5071583176 @default.
- W3104664645 hasAuthorship W3104664645A5071634041 @default.
- W3104664645 hasBestOaLocation W31046646451 @default.
- W3104664645 hasConcept C154945302 @default.
- W3104664645 hasConcept C166957645 @default.
- W3104664645 hasConcept C199360897 @default.
- W3104664645 hasConcept C205649164 @default.
- W3104664645 hasConcept C31972630 @default.
- W3104664645 hasConcept C41008148 @default.
- W3104664645 hasConcept C43521106 @default.
- W3104664645 hasConcept C65909025 @default.
- W3104664645 hasConcept C79581498 @default.
- W3104664645 hasConceptScore W3104664645C154945302 @default.
- W3104664645 hasConceptScore W3104664645C166957645 @default.
- W3104664645 hasConceptScore W3104664645C199360897 @default.
- W3104664645 hasConceptScore W3104664645C205649164 @default.
- W3104664645 hasConceptScore W3104664645C31972630 @default.
- W3104664645 hasConceptScore W3104664645C41008148 @default.
- W3104664645 hasConceptScore W3104664645C43521106 @default.
- W3104664645 hasConceptScore W3104664645C65909025 @default.
- W3104664645 hasConceptScore W3104664645C79581498 @default.
- W3104664645 hasFunder F4320306114 @default.
- W3104664645 hasFunder F4320320966 @default.
- W3104664645 hasFunder F4320323141 @default.
- W3104664645 hasFunder F4320335353 @default.
- W3104664645 hasFunder F4320338281 @default.
- W3104664645 hasIssue "3" @default.
- W3104664645 hasLocation W31046646451 @default.
- W3104664645 hasLocation W31046646452 @default.
- W3104664645 hasOpenAccess W3104664645 @default.
- W3104664645 hasPrimaryLocation W31046646451 @default.
- W3104664645 hasRelatedWork W127013308 @default.
- W3104664645 hasRelatedWork W1628937209 @default.
- W3104664645 hasRelatedWork W2094957557 @default.
- W3104664645 hasRelatedWork W2113039159 @default.
- W3104664645 hasRelatedWork W2971051170 @default.
- W3104664645 hasRelatedWork W3006563365 @default.
- W3104664645 hasRelatedWork W3185738386 @default.
- W3104664645 hasRelatedWork W4224011692 @default.
- W3104664645 hasRelatedWork W4225827157 @default.
- W3104664645 hasRelatedWork W4321512589 @default.
- W3104664645 hasVolume "4" @default.
- W3104664645 isParatext "false" @default.
- W3104664645 isRetracted "false" @default.
- W3104664645 magId "3104664645" @default.
- W3104664645 workType "article" @default.