{"id":"https://openalex.org/W2947920546","doi":"https://doi.org/10.5220/0007706800710076","title":"Georeferencing of Road Infrastructure from Photographs using Computer Vision and Deep Learning for Road Safety Applications","display_name":"Georeferencing of Road Infrastructure from Photographs using Computer Vision and Deep Learning for Road Safety Applications","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2947920546","doi":"https://doi.org/10.5220/0007706800710076","mag":"2947920546"},"language":"en","primary_location":{"id":"doi:10.5220/0007706800710076","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0007706800710076","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Geographical Information Systems Theory, Applications and Management","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.5220/0007706800710076","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101549063","display_name":"Simon Graf","orcid":"https://orcid.org/0000-0001-9572-3997"},"institutions":[{"id":"https://openalex.org/I83041830","display_name":"Deggendorf Institute of Technology","ror":"https://ror.org/02kw5st29","country_code":"DE","type":"education","lineage":["https://openalex.org/I83041830"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Simon Graf","raw_affiliation_strings":["Institute for Applied Informatics, Technische Hochschule Deggendorf, Grafenauer Str. 22., Freyung and Germany, --- Select a Country ---"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Applied Informatics, Technische Hochschule Deggendorf, Grafenauer Str. 22., Freyung and Germany, --- Select a Country ---","institution_ids":["https://openalex.org/I83041830"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057724693","display_name":"Raphaela Pagany","orcid":"https://orcid.org/0000-0003-1746-1906"},"institutions":[{"id":"https://openalex.org/I83041830","display_name":"Deggendorf Institute of Technology","ror":"https://ror.org/02kw5st29","country_code":"DE","type":"education","lineage":["https://openalex.org/I83041830"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Raphaela Pagany","raw_affiliation_strings":["Institute for Applied Informatics, Technische Hochschule Deggendorf, Grafenauer Str. 22., Freyung, Germany, Department of Geoinformatics Z_GIS, Salzburg University, Salzburg and Austria, --- Select a Country ---"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Applied Informatics, Technische Hochschule Deggendorf, Grafenauer Str. 22., Freyung, Germany, Department of Geoinformatics Z_GIS, Salzburg University, Salzburg and Austria, --- Select a Country ---","institution_ids":["https://openalex.org/I83041830"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013238604","display_name":"Wolfgang Dorner","orcid":"https://orcid.org/0000-0003-3324-2316"},"institutions":[{"id":"https://openalex.org/I83041830","display_name":"Deggendorf Institute of Technology","ror":"https://ror.org/02kw5st29","country_code":"DE","type":"education","lineage":["https://openalex.org/I83041830"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Wolfgang Dorner","raw_affiliation_strings":["Institute for Applied Informatics, Technische Hochschule Deggendorf, Grafenauer Str. 22., Freyung and Germany, --- Select a Country ---"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Applied Informatics, Technische Hochschule Deggendorf, Grafenauer Str. 22., Freyung and Germany, --- Select a Country ---","institution_ids":["https://openalex.org/I83041830"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085049093","display_name":"Armin Weigold","orcid":null},"institutions":[{"id":"https://openalex.org/I83041830","display_name":"Deggendorf Institute of Technology","ror":"https://ror.org/02kw5st29","country_code":"DE","type":"education","lineage":["https://openalex.org/I83041830"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Armin Weigold","raw_affiliation_strings":["Institute for Applied Informatics, Technische Hochschule Deggendorf, Grafenauer Str. 22., Freyung and Germany, --- Select a Country ---"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Applied Informatics, Technische Hochschule Deggendorf, Grafenauer Str. 22., Freyung and Germany, --- Select a Country ---","institution_ids":["https://openalex.org/I83041830"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5208,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.69685562,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"71","last_page":"76"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12644","display_name":"Wildlife-Road Interactions and Conservation","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12644","display_name":"Wildlife-Road Interactions and Conservation","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10199","display_name":"Wildlife Ecology and Conservation","score":0.9922999739646912,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9846000075340271,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/georeference","display_name":"Georeference","score":0.8343161344528198},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.630873441696167},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5335348844528198},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5049653649330139},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5046871900558472},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.3643200397491455},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.23274993896484375},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.21883076429367065}],"concepts":[{"id":"https://openalex.org/C75145180","wikidata":"https://www.wikidata.org/wiki/Q772007","display_name":"Georeference","level":2,"score":0.8343161344528198},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.630873441696167},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5335348844528198},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5049653649330139},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5046871900558472},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.3643200397491455},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.23274993896484375},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.21883076429367065},{"id":"https://openalex.org/C100970517","wikidata":"https://www.wikidata.org/wiki/Q52107","display_name":"Physical geography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5220/0007706800710076","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0007706800710076","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Geographical Information Systems Theory, Applications and Management","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.5220/0007706800710076","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0007706800710076","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Geographical Information Systems Theory, Applications and Management","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W2755342338","https://openalex.org/W2058170566","https://openalex.org/W2036807459","https://openalex.org/W2775347418","https://openalex.org/W1969923398","https://openalex.org/W2772917594","https://openalex.org/W2166024367","https://openalex.org/W3009238340"],"abstract_inverted_index":{"Georeferenced":[0],"information":[1,23],"of":[2,33,48,109,119,129,156],"road":[3,8,61,107,137],"infrastructure":[4,133],"is":[5,26],"crucial":[6],"for":[7,12,126],"safety":[9],"analysis.":[10,35],"Unfortunately,":[11],"essential":[13],"structures,":[14,50],"such":[15],"as":[16],"fences":[17,71],"and":[18,24,72,76,81,88,94,142],"crash":[19],"barriers,":[20],"exact":[21],"location":[22],"extent":[25,80],"often":[27],"not":[28,152],"available":[29],"hindering":[30],"any":[31],"kind":[32],"spatial":[34],"For":[36,105],"a":[37,53,106],"GIS-based":[38,92],"study":[39],"on":[40,84],"wildlife-vehicle":[41],"collisions":[42],"(WVCs)":[43],"and,":[44],"therein,":[45],"the":[46,79,85,127,136,143,147,154],"impact":[47],"these":[49],"we":[51,112],"developed":[52],"method":[54,131],"to":[55,69,77,97,115],"derive":[56],"this":[57,99,130],"data":[58,100],"from":[59,135],"video-based":[60],"inspections.":[62],"A":[63],"deep":[64],"learning":[65],"approach":[66],"was":[67],"applied":[68],"identify":[70,116],"barriers":[73],"in":[74],"photos":[75,151],"estimate":[78],"location,":[82],"based":[83],"photos\u2019":[86],"metadata":[87],"perspective.":[89],"We":[90],"used":[91],"analysis":[93],"geometric":[95],"functions":[96],"convert":[98],"into":[101],"georeferenced":[102],"line":[103],"segments.":[104],"network":[108],"113":[110],"km,":[111],"were":[113],"able":[114],"over":[117],"88%":[118],"all":[120],"barrier":[121],"lines.":[122],"The":[123],"main":[124],"problems":[125],"application":[128],"are":[132],"invisible":[134],"or":[138,159],"hidden":[139],"behind":[140],"vegetation,":[141],"small":[144],"sections":[145],"along":[146],"streets":[148],"covered":[149],"by":[150],"depicting":[153],"tops":[155],"higher":[157],"dams":[158],"slopes.":[160]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
