{"id":"https://openalex.org/W2874782291","doi":null,"title":"Increasing Spacecraft Autonomy through Embedded Neural Networks for Semantic Image Analysis","display_name":"Increasing Spacecraft Autonomy through Embedded Neural Networks for Semantic Image Analysis","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2874782291","mag":"2874782291"},"language":"en","primary_location":{"id":"pmh:oai:DiVA.org:ltu-61353","doi":null,"is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-61353","pdf_url":null,"source":{"id":"https://openalex.org/S7407055297","display_name":"Epubl LTU","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/bachelorThesis"},"volume":null,"type":"dissertation","indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-61353","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5009858252","display_name":"Andreas Schartel","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Andreas Schartel","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5009858252"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9491999745368958,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9491999745368958,"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/T10904","display_name":"Embedded Systems Design Techniques","score":0.013899999670684338,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T13436","display_name":"Space Technology and Applications","score":0.01140000019222498,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/spacecraft-autonomy","display_name":"spacecraft autonomy","score":0.968999981880188},{"id":"https://openalex.org/keywords/embedded-neural-networks","display_name":"embedded neural networks","score":0.8870000243186951},{"id":"https://openalex.org/keywords/convolutional-neural-networks","display_name":"convolutional neural networks","score":0.8119999766349792},{"id":"https://openalex.org/keywords/squeezenet","display_name":"SqueezeNet","score":0.9990000128746033},{"id":"https://openalex.org/keywords/fpga-acceleration","display_name":"FPGA acceleration","score":0.675000011920929},{"id":"https://openalex.org/keywords/offline-learning","display_name":"offline learning","score":0.6710000038146973},{"id":"https://openalex.org/keywords/caffe","display_name":"Caffe","score":0.5460000038146973},{"id":"https://openalex.org/keywords/test-bench","display_name":"test bench","score":0.5699999928474426}],"concepts":[{"id":"https://openalex.org/C29829512","wikidata":"https://www.wikidata.org/wiki/Q40218","display_name":"Spacecraft","level":2,"score":0.5579795837402344},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5139657855033875},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5112264156341553},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5018024444580078},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4733973741531372},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3718458414077759},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10682189464569092},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0759253203868866}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:DiVA.org:ltu-61353","doi":null,"is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-61353","pdf_url":null,"source":{"id":"https://openalex.org/S7407055297","display_name":"Epubl LTU","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/bachelorThesis"},{"id":"mag:2874782291","doi":null,"is_oa":false,"landing_page_url":"http://www.diva-portal.org/smash/record.jsf?pid=diva2:1063475","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:DiVA.org:ltu-61353","doi":null,"is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-61353","pdf_url":null,"source":{"id":"https://openalex.org/S7407055297","display_name":"Epubl LTU","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/bachelorThesis"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W7517241","https://openalex.org/W1005811612","https://openalex.org/W1988460004","https://openalex.org/W1995341919","https://openalex.org/W2018975582","https://openalex.org/W2094756095","https://openalex.org/W4394670654"],"related_works":["https://openalex.org/W4387740762","https://openalex.org/W7030229820","https://openalex.org/W4407793265","https://openalex.org/W1843615573","https://openalex.org/W4391129243","https://openalex.org/W2605697599","https://openalex.org/W2311640820","https://openalex.org/W7117779866","https://openalex.org/W3111523725","https://openalex.org/W7111302521"],"abstract_inverted_index":{"In":[0,101,242,285],"the":[1,61,67,77,103,111,123,138,156,160,173,188,195,216,220,224,238,258,261,268,271,307,313],"scope":[2,196],"of":[3,9,63,69,122,187,197,223,237,257,263,309,312,315],"this":[4,130,198,283,287],"thesis,":[5,199],"a":[6,35,81,163,233,244,254,274,292],"possible":[7,36],"usage":[8],"embedded":[10,157,161,225],"artificial":[11,28,300],"neural":[12,29,78,83,174,275,301],"networks":[13],"for":[14,76,93,110,134,296,303],"on-board":[15],"image":[16],"analysis":[17],"is":[18,39,132,152],"investigated.":[19],"After":[20],"an":[21,145],"introduction":[22],"which":[23,118],"imparts":[24],"basic":[25],"knowledge":[26],"about":[27],"network":[30,79,84,175,276,302],"and":[31,72,97,177,205,229,265],"autonomy":[32],"in":[33,129,194],"spaceflight,":[34],"system":[37,127,226,259],"design":[38],"elaborated":[40],"based":[41,51],"on":[42,52,144,208,299],"previously":[43],"defined":[44],"reference":[45,48],"scenarios.":[46],"The":[47,126,148],"scenarios":[49],"are":[50,56],"two":[53],"projects":[54],"that":[55],"currently":[57],"under":[58],"development":[59],"at":[60,66,306],"professorship":[62,308],"Space":[64,310],"Technology":[65,311],"University":[68,314],"W\u00fcrzburg:":[70],"ASMET":[71],"SONATE.":[73],"As":[74],"base":[75],"architecture,":[80],"convolutional":[82],"called":[85,278],"SqueezeNet":[86,104],"was":[87,91,166,250,280],"chosen,":[88],"since":[89,168],"it":[90,180],"developed":[92,251],"similar":[94],"input":[95],"data":[96],"performs":[98],"sufficiently":[99],"well.":[100],"addition,":[102,243],"architecture":[105],"requires":[106],"extremely":[107],"little":[108],"memory":[109],"trained-in":[112,150],"model":[113,124,151],"compared":[114],"to":[115,155,171,231,252],"other":[116],"architectures":[117],"makes":[119],"in-orbit":[120],"updates":[121],"feasible.":[125],"concept":[128,190],"thesis":[131,288],"designed":[133,189],"offline":[135],"learning,":[136],"i.e.":[137],"training":[139,272],"phase":[140],"will":[141],"be":[142,192],"done":[143],"ordinary":[146],"computer.":[147],"resulting,":[149],"then":[153],"transferred":[154],"system.":[158,269],"On":[159],"side,":[162],"FPGA-based":[164],"approach":[165],"chosen":[167],"FPGAs":[169],"allow":[170],"parallelize":[172],"execution":[176,240],"therefore":[178],"accelerate":[179],"significantly.":[181],"Even":[182],"though":[183],"not":[184],"all":[185,200],"components":[186],"could":[191],"implemented":[193,204],"key":[201],"elements":[202],"were":[203],"tested,":[206],"either":[207],"real":[209],"hardware":[210],"or":[211],"by":[212],"using":[213],"testbenches.":[214],"Especially":[215],"tests":[217],"conducted":[218],"with":[219,246],"convolution":[221],"unit":[222],"went":[227],"well":[228],"allowed":[230],"make":[232],"quite":[234],"promising":[235],"assessment":[236],"expected":[239],"speed.":[241],"tool":[245],"graphical":[247],"user":[248,256],"interface":[249],"guide":[253],"potential":[255],"through":[260],"steps":[262],"training-in":[264],"setting":[266],"up":[267],"For":[270],"process,":[273],"framework":[277],"Caffe":[279],"used":[281],"within":[282],"tool.":[284],"summary,":[286],"provides":[289],"as":[290],"intended":[291],"profound":[293],"starting":[294],"point":[295],"further":[297],"research":[298],"space":[304],"applications":[305],"W\u00fcrzburg.":[316]},"counts_by_year":[{"year":2020,"cited_by_count":3}],"updated_date":"2026-09-29T14:09:16.559479","created_date":"2018-07-19T00:00:00"}
