{"id":"https://openalex.org/W282490938","doi":null,"title":"Autonomous Path Following Using Convolutional Networks","display_name":"Autonomous Path Following Using Convolutional Networks","publication_year":2012,"publication_date":"2012-01-01","ids":{"openalex":"https://openalex.org/W282490938","mag":"282490938"},"language":"en","primary_location":{"id":"pmh:oai:DiVA.org:liu-78670","doi":null,"is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-78670","pdf_url":null,"source":{"id":"https://openalex.org/S4306401559","display_name":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I86987016","host_organization_name":"KTH Royal Institute of Technology","host_organization_lineage":["https://openalex.org/I86987016"],"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":"","raw_type":"info:eu-repo/semantics/bachelorThesis"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-78670","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000613456","display_name":"Maria Schmiterl\u00f6w","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Maria Schmiterl\u00f6w","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5000613456"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.8442000150680542,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.8442000150680542,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.08649999648332596,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.05400000140070915,"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/convolutional-neural-networks","display_name":"convolutional neural networks","score":0.8600000143051147},{"id":"https://openalex.org/keywords/autonomous-vehicles","display_name":"autonomous vehicles","score":0.7799999713897705},{"id":"https://openalex.org/keywords/robotic-car","display_name":"robotic car","score":0.6800000071525574},{"id":"https://openalex.org/keywords/image-preprocessing","display_name":"image preprocessing","score":0.9570000171661377},{"id":"https://openalex.org/keywords/environmental-dependence","display_name":"environmental dependence","score":0.6019999980926514},{"id":"https://openalex.org/keywords/autonomous-navigation","display_name":"autonomous navigation","score":0.37400001287460327}],"concepts":[{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.7000974416732788},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6999460458755493},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6588264107704163},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5632920861244202},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.5566744804382324},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5112271308898926},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43436264991760254},{"id":"https://openalex.org/C9628104","wikidata":"https://www.wikidata.org/wiki/Q788009","display_name":"Autonomous system (mathematics)","level":2,"score":0.4100206196308136},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4022909998893738},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.36638402938842773},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:DiVA.org:liu-78670","doi":null,"is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-78670","pdf_url":null,"source":{"id":"https://openalex.org/S4306401559","display_name":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I86987016","host_organization_name":"KTH Royal Institute of Technology","host_organization_lineage":["https://openalex.org/I86987016"],"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":"","raw_type":"info:eu-repo/semantics/bachelorThesis"},{"id":"mag:282490938","doi":null,"is_oa":false,"landing_page_url":"http://www.diva-portal.org/smash/record.jsf?pid=diva2:534610","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:liu-78670","doi":null,"is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-78670","pdf_url":null,"source":{"id":"https://openalex.org/S4306401559","display_name":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I86987016","host_organization_name":"KTH Royal Institute of Technology","host_organization_lineage":["https://openalex.org/I86987016"],"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":"","raw_type":"info:eu-repo/semantics/bachelorThesis"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1663973292","https://openalex.org/W1986014385","https://openalex.org/W2016043834","https://openalex.org/W2112796928","https://openalex.org/W2133233905","https://openalex.org/W2134557905","https://openalex.org/W2139061569","https://openalex.org/W2147800946","https://openalex.org/W2152417180","https://openalex.org/W2154642048","https://openalex.org/W2154844948","https://openalex.org/W2169488311","https://openalex.org/W2799061466"],"related_works":["https://openalex.org/W2754728117","https://openalex.org/W2976567403","https://openalex.org/W2971669214","https://openalex.org/W2961764610","https://openalex.org/W2979524046","https://openalex.org/W3130112737","https://openalex.org/W3205934441","https://openalex.org/W7117541901","https://openalex.org/W3197256413","https://openalex.org/W2770440239"],"abstract_inverted_index":{"Autonomous":[0],"vehicles":[1,18],"have":[2],"many":[3,7],"application":[4],"possibilities":[5],"within":[6],"different":[8,101],"fields":[9],"like":[10],"rescue":[11],"missions,":[12],"exploring":[13],"foreign":[14],"environments":[15],"or":[16],"unmanned":[17],"etc.":[19],"For":[20],"such":[21],"system":[22,166],"to":[23,44,63,162],"navigate":[24],"in":[25,82,93],"a":[26,53,69,74,94,133],"safe":[27],"manner,":[28],"high":[29],"requirements":[30],"of":[31,117,131],"reliability":[32],"and":[33,114,136],"security":[34],"must":[35],"be":[36],"fulfilled.":[37],"This":[38],"master's":[39],"thesis":[40,99],"explores":[41],"the":[42,46,65,78,83,111,115,125,156,165],"possibility":[43],"use":[45],"machine":[47],"learning":[48,132],"algorithm":[49],"convolutional":[50,87,126],"network":[51,88,127],"on":[52,77,110,142],"robotic":[54,79],"platform":[55],"for":[56],"autonomous":[57],"path":[58],"following.":[59],"The":[60,86,106,121,151],"only":[61],"input":[62],"predict":[64],"steering":[66,84],"signal":[67],"is":[68,108,167],"monochromatic":[70],"image":[71],"taken":[72],"by":[73],"camera":[75],"mounted":[76],"car":[80],"pointing":[81],"direction.":[85],"will":[89],"learn":[90],"from":[91],"demonstrations":[92],"supervised":[95],"manner.":[96],"In":[97],"this":[98],"three":[100],"preprocessing":[102,157],"options":[103,158],"are":[104,159],"evaluated.":[105],"evaluation":[107],"based":[109],"quadratic":[112],"error":[113],"number":[116],"correctly":[118],"predicted":[119],"classes.":[120],"results":[122,152],"show":[123,154],"that":[124,145,155,164],"has":[128,147],"no":[129],"problem":[130],"correct":[134],"behaviour":[135],"scores":[137],"good":[138],"result":[139],"when":[140],"evaluated":[141],"similar":[143],"data":[144],"it":[146],"been":[148],"trained":[149],"on.":[150],"also":[153],"not":[160],"enough":[161],"ensure":[163],"environment":[168],"dependent.":[169]},"counts_by_year":[{"year":2016,"cited_by_count":2},{"year":2014,"cited_by_count":3}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}