{"id":"https://openalex.org/W3013013639","doi":"https://doi.org/10.1109/icce46568.2020.9043152","title":"A Detection Confidence-Regulated Path Planning (DCRPP) Algorithm for Improved Small Object Counting in Aerial Images","display_name":"A Detection Confidence-Regulated Path Planning (DCRPP) Algorithm for Improved Small Object Counting in Aerial Images","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3013013639","doi":"https://doi.org/10.1109/icce46568.2020.9043152","mag":"3013013639"},"language":"en","primary_location":{"id":"doi:10.1109/icce46568.2020.9043152","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce46568.2020.9043152","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Consumer Electronics (ICCE)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5015755738","display_name":"Miles Krusniak","orcid":null},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Miles Krusniak","raw_affiliation_strings":["Yale University, New Haven, Connecticut"],"affiliations":[{"raw_affiliation_string":"Yale University, New Haven, Connecticut","institution_ids":["https://openalex.org/I32971472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043033306","display_name":"Leppanen Keaton","orcid":null},"institutions":[{"id":"https://openalex.org/I199639920","display_name":"Truman State University","ror":"https://ror.org/0396bvs97","country_code":"US","type":"education","lineage":["https://openalex.org/I199639920"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Keaton Leppanen","raw_affiliation_strings":["Truman State University, Kirksville, Missouri"],"affiliations":[{"raw_affiliation_string":"Truman State University, Kirksville, Missouri","institution_ids":["https://openalex.org/I199639920"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018831854","display_name":"Zhicheng Tang","orcid":"https://orcid.org/0000-0003-1670-9199"},"institutions":[{"id":"https://openalex.org/I76835614","display_name":"University of Missouri","ror":"https://ror.org/02ymw8z06","country_code":"US","type":"education","lineage":["https://openalex.org/I76835614"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhicheng Tang","raw_affiliation_strings":["University of Missouri, Columbia, Missouri"],"affiliations":[{"raw_affiliation_string":"University of Missouri, Columbia, Missouri","institution_ids":["https://openalex.org/I76835614"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101647914","display_name":"Fan Gao","orcid":"https://orcid.org/0000-0003-4618-0855"},"institutions":[{"id":"https://openalex.org/I76835614","display_name":"University of Missouri","ror":"https://ror.org/02ymw8z06","country_code":"US","type":"education","lineage":["https://openalex.org/I76835614"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fan Gao","raw_affiliation_strings":["University of Missouri, Columbia, Missouri"],"affiliations":[{"raw_affiliation_string":"University of Missouri, Columbia, Missouri","institution_ids":["https://openalex.org/I76835614"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100697276","display_name":"Yizhen Wang","orcid":"https://orcid.org/0000-0002-3183-6738"},"institutions":[{"id":"https://openalex.org/I76835614","display_name":"University of Missouri","ror":"https://ror.org/02ymw8z06","country_code":"US","type":"education","lineage":["https://openalex.org/I76835614"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yizhen Wang","raw_affiliation_strings":["University of Missouri, Columbia, Missouri"],"affiliations":[{"raw_affiliation_string":"University of Missouri, Columbia, Missouri","institution_ids":["https://openalex.org/I76835614"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057883374","display_name":"Yi Shang","orcid":"https://orcid.org/0000-0001-7771-4034"},"institutions":[{"id":"https://openalex.org/I76835614","display_name":"University of Missouri","ror":"https://ror.org/02ymw8z06","country_code":"US","type":"education","lineage":["https://openalex.org/I76835614"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yi Shang","raw_affiliation_strings":["University of Missouri, Columbia, Missouri"],"affiliations":[{"raw_affiliation_string":"University of Missouri, Columbia, Missouri","institution_ids":["https://openalex.org/I76835614"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5015755738"],"corresponding_institution_ids":["https://openalex.org/I32971472"],"apc_list":null,"apc_paid":null,"fwci":0.1962,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.47712841,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"13","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6678321957588196},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6472707986831665},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6099982261657715},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.5546236038208008},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5518086552619934},{"id":"https://openalex.org/keywords/motion-planning","display_name":"Motion planning","score":0.49745896458625793},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.49199816584587097},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3945624530315399},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3003183603286743},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.0820174515247345}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6678321957588196},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6472707986831665},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6099982261657715},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.5546236038208008},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5518086552619934},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.49745896458625793},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.49199816584587097},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3945624530315399},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3003183603286743},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.0820174515247345},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icce46568.2020.9043152","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce46568.2020.9043152","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Consumer Electronics (ICCE)","raw_type":"proceedings-article"},{"id":"mag:3041456343","is_oa":false,"landing_page_url":"https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=202002251305745745","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8600000143051147,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W48796747","https://openalex.org/W140238390","https://openalex.org/W1543983621","https://openalex.org/W1561867011","https://openalex.org/W2015598453","https://openalex.org/W2129598224","https://openalex.org/W2130706967","https://openalex.org/W2145243492","https://openalex.org/W2150241776","https://openalex.org/W2557728737","https://openalex.org/W2804436788","https://openalex.org/W2883677709","https://openalex.org/W2997408160","https://openalex.org/W3083648773","https://openalex.org/W6605705772","https://openalex.org/W6730028961"],"related_works":["https://openalex.org/W3049557657","https://openalex.org/W3150915502","https://openalex.org/W2359600231","https://openalex.org/W2380019117","https://openalex.org/W3138952546","https://openalex.org/W1660309994","https://openalex.org/W2369187583","https://openalex.org/W3197207153","https://openalex.org/W4292830139","https://openalex.org/W4319309705"],"abstract_inverted_index":{"Computerized":[0],"object":[1,45],"counting":[2],"shows":[3],"potential":[4],"for":[5,18],"conservation":[6],"population":[7],"estimates":[8],"as":[9,22],"an":[10,59],"alternative":[11],"to":[12,41,88],"manual":[13],"counting,":[14],"but":[15],"remains":[16],"unsatisfactory":[17],"minuscule":[19],"objects,":[20],"such":[21],"those":[23],"in":[24,91],"UAV-produced":[25],"images.":[26],"We":[27],"improve":[28],"UAV":[29,70],"data":[30,78],"collection":[31],"by":[32],"using":[33],"a":[34,49],"novel":[35],"path":[36,66],"planner":[37,67],"which":[38],"shifts":[39],"altitude":[40,61,71],"maximize":[42],"deep":[43],"learning-based":[44],"detection":[46],"confidences":[47],"from":[48],"Faster":[50],"Region-Convolutional":[51],"Neural":[52],"Network,":[53],"considering":[54],"energy":[55,80],"consumption":[56],"trade-offs.":[57],"Using":[58],"empirical":[60],"confidence":[62],"relationship,":[63],"our":[64,92],"adaptive":[65],"(\u201dDCRPP\u201d)":[68],"adjusts":[69],"based":[72],"on":[73],"confidence,":[74],"yielding":[75],"better":[76],"quality":[77],"given":[79],"constraints.":[81],"DCRPP":[82],"achieves":[83],"11.92%":[84],"greater":[85],"accuracy":[86],"compared":[87],"fixed-height":[89],"methods":[90],"conservation-aimed":[93],"simulation.":[94]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
