{"id":"https://openalex.org/W2955734826","doi":"https://doi.org/10.22215/etd/2019-13472","title":"Spacecraft Pose Estimation Using a Monocular Camera","display_name":"Spacecraft Pose Estimation Using a Monocular Camera","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2955734826","doi":"https://doi.org/10.22215/etd/2019-13472","mag":"2955734826"},"language":"en","primary_location":{"id":"doi:10.22215/etd/2019-13472","doi":"https://doi.org/10.22215/etd/2019-13472","is_oa":true,"landing_page_url":"https://doi.org/10.22215/etd/2019-13472","pdf_url":"http://repository.library.carleton.ca/downloads/qn59q4937","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Carleton University","raw_type":"dissertation"},"volume":null,"type":"dissertation","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"http://repository.library.carleton.ca/downloads/qn59q4937","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061919775","display_name":"Jian-Feng Shi","orcid":"https://orcid.org/0000-0002-1268-9947","observed_orcids":["https://orcid.org/0000-0002-1268-9947"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Jian-Feng Shi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5061919775"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.44510000944137573,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.44510000944137573,"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/T11701","display_name":"Space Satellite Systems and Control","score":0.30660000443458557,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.05130000039935112,"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/spacecraft-pose-estimation","display_name":"spacecraft pose estimation","score":0.9990000128746033},{"id":"https://openalex.org/keywords/monocular-camera","display_name":"monocular camera","score":0.8669999837875366},{"id":"https://openalex.org/keywords/image-saliency","display_name":"image saliency","score":0.6629999876022339},{"id":"https://openalex.org/keywords/foreground-segmentation","display_name":"foreground segmentation","score":0.546999990940094},{"id":"https://openalex.org/keywords/bag-of-visual-words","display_name":"bag of visual words","score":0.9010000228881836},{"id":"https://openalex.org/keywords/object-localization","display_name":"object localization","score":0.7559999823570251},{"id":"https://openalex.org/keywords/epnp","display_name":"EPnP","score":0.7260000109672546},{"id":"https://openalex.org/keywords/perspective-n-point","display_name":"perspective-n-point","score":0.7350000143051147},{"id":"https://openalex.org/keywords/level-set-segmentation","display_name":"level set segmentation","score":0.7820000052452087},{"id":"https://openalex.org/keywords/guidance-navigation-and-control","display_name":"guidance, navigation and control","score":0.6470000147819519}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8396365642547607},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6350398659706116},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6128139495849609},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5987887978553772},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.5517237186431885},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4975772202014923},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4766455590724945},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.4452122151851654},{"id":"https://openalex.org/C127759330","wikidata":"https://www.wikidata.org/wiki/Q637416","display_name":"Codebook","level":2,"score":0.4429134428501129},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4248579740524292},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1556122899055481}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.22215/etd/2019-13472","doi":"https://doi.org/10.22215/etd/2019-13472","is_oa":true,"landing_page_url":"https://doi.org/10.22215/etd/2019-13472","pdf_url":"http://repository.library.carleton.ca/downloads/qn59q4937","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Carleton University","raw_type":"dissertation"},{"id":"pmh:oai:carleton.scholaris.ca:20.500.14718/40481","doi":null,"is_oa":false,"landing_page_url":"https://hdl.handle.net/20.500.14718/40481","pdf_url":null,"source":{"id":"https://openalex.org/S4306402514","display_name":"Carleton University's Institutional Repository (MacOdrum Library, Carleton University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"thesis"}],"best_oa_location":{"id":"doi:10.22215/etd/2019-13472","doi":"https://doi.org/10.22215/etd/2019-13472","is_oa":true,"landing_page_url":"https://doi.org/10.22215/etd/2019-13472","pdf_url":"http://repository.library.carleton.ca/downloads/qn59q4937","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Carleton University","raw_type":"dissertation"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2955734826.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7125899089","https://openalex.org/W3123179458","https://openalex.org/W7211907907","https://openalex.org/W3128513797","https://openalex.org/W7161046898","https://openalex.org/W2810225457","https://openalex.org/W3098172828","https://openalex.org/W2291821649","https://openalex.org/W3204584747","https://openalex.org/W4416790747"],"abstract_inverted_index":{"Spacecraft":[0],"pose":[1,54,242,252,288],"estimation":[2,15,289],"is":[3,196],"an":[4,208],"essential":[5],"input":[6],"to":[7,25,215,234,270,274],"the":[8,26,76,95,123,151,175,186,200,264,271,276,299,303],"Guidance,":[9],"Navigation":[10],"and":[11,29,42,48,53,62,65,86,90,97,115,149,169,192,218,249,293,305,311],"Control":[12],"process.":[13,154],"Pose":[14],"based":[16,111,135,241],"on":[17,102,112,180],"monocular":[18],"camera":[19],"images":[20],"does":[21],"not":[22],"require":[23],"modifications":[24],"target":[27,103],"vehicle":[28],"has":[30],"fewer":[31],"resource":[32],"requirements":[33],"than":[34,199],"LIDAR":[35],"systems.":[36],"We":[37,56,73,93,105,117,155,206,223,238,254,267,285],"provide":[38],"a":[39,67,130,157,225,256],"comprehensive":[40],"investigation":[41],"novel":[43,131,158,226,257],"contributions":[44,121],"in":[45,122,190,308],"foreground":[46,217],"recognition":[47],"extraction,":[49],"image":[50,59,71,124,166,214],"feature":[51,60,163,213],"generation,":[52],"estimation.":[55,253],"evaluated":[57,87,239],"$12$":[58],"detector":[61],"descriptor":[63],"performances":[64],"proposed":[66],"new":[68,120],"biologically":[69],"inspired":[70],"descriptor.":[72],"also":[74],"assessed":[75],"bag":[77],"of":[78,174,278],"visual":[79],"words":[80],"codebook":[81],"technique":[82,184],"for":[83,137,164,251],"object":[84],"localisation":[85],"linear,":[88],"non-linear":[89],"non-parametric":[91],"classifiers.":[92],"tested":[94,179],"ResNet":[96],"Inception-ResNet":[98],"convolutional":[99],"neural":[100],"networks":[101],"localisation.":[104],"developed":[106,129,156,286],"compact":[107],"semantic":[108],"segmentation":[109,292],"autoencoders":[110],"AlexNet,":[113],"U-Net":[114],"VGG.":[116],"made":[118],"several":[119],"saliency":[125,188],"generation.":[126],"First,":[127],"we":[128],"principal":[132,245],"component":[133],"analysis":[134],"formula":[136],"graph":[138,176,202],"manifold":[139,177,203],"ranking":[140,152,178,204],"Optimal":[141],"Affinity":[142],"Matrix":[143],"inversion":[144,153],"which":[145],"reduces":[146],"computation":[147],"time":[148],"stabilises":[150],"weighted":[159],"gradient":[160],"orientation":[161],"histogram":[162,221],"monochromatic":[165],"superpixel":[167],"identification":[168],"provided":[170],"three":[171],"enhanced":[172],"versions":[173],"$32,536$":[181],"images.":[182],"Our":[183,296],"out-performs":[185,302],"state-of-the-art":[187],"method":[189,195,261,301],"precision":[191,310],"our":[193],"fastest":[194],"$12{\\times}$":[197],"faster":[198],"original":[201],"technique.":[205],"introduce":[207,268],"innovative":[209],"false-coloured":[210],"high-frequency":[211],"salient":[212],"enhance":[216],"background":[219,228],"pixel":[220,232,294],"distinction.":[222],"propose":[224,255],"space":[227],"classification":[229],"scheme":[230],"using":[231,244,282,290],"statistics":[233],"detect":[235],"Earth":[236],"passage.":[237],"appearance":[240],"matching":[243],"components":[246],"analysis,":[247],"SoftPOSIT":[248,272],"$e$P$n$P":[250],"homography":[258],"transform":[259],"projection":[260],"that":[262],"simplifies":[263],"perspective-$n$-point":[265],"correspondence.":[266],"improvements":[269],"initiation":[273],"reduce":[275],"effects":[277],"local":[279],"minimum":[280],"trapping":[281],"centroid":[283],"matching.":[284],"region-based":[287,300],"level-set":[291],"statistics.":[295],"tests":[297],"show":[298],"appearance-based":[304],"point-based":[306],"methods":[307],"speed,":[309],"stability.":[312]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2019-07-12T00:00:00"}
