{"id":"https://openalex.org/W2771177825","doi":"https://doi.org/10.1109/mfi.2017.8170358","title":"Implementation of semantic segmentation for road and lane detection on an autonomous ground vehicle with LIDAR","display_name":"Implementation of semantic segmentation for road and lane detection on an autonomous ground vehicle with LIDAR","publication_year":2017,"publication_date":"2017-11-01","ids":{"openalex":"https://openalex.org/W2771177825","doi":"https://doi.org/10.1109/mfi.2017.8170358","mag":"2771177825"},"language":"en","primary_location":{"id":"doi:10.1109/mfi.2017.8170358","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mfi.2017.8170358","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)","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/A5057254283","display_name":"Kai Li Lim","orcid":"https://orcid.org/0000-0002-9278-0344"},"institutions":[{"id":"https://openalex.org/I177877127","display_name":"University of Western Australia","ror":"https://ror.org/047272k79","country_code":"AU","type":"education","lineage":["https://openalex.org/I177877127"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Kai Li Lim","raw_affiliation_strings":["REV Project, The University of Western Australia, Perth, WA, Australia"],"affiliations":[{"raw_affiliation_string":"REV Project, The University of Western Australia, Perth, WA, Australia","institution_ids":["https://openalex.org/I177877127"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060006569","display_name":"Thomas Drage","orcid":"https://orcid.org/0000-0002-0676-3426"},"institutions":[{"id":"https://openalex.org/I177877127","display_name":"University of Western Australia","ror":"https://ror.org/047272k79","country_code":"AU","type":"education","lineage":["https://openalex.org/I177877127"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Thomas Drage","raw_affiliation_strings":["REV Project, The University of Western Australia, Perth, WA, Australia"],"affiliations":[{"raw_affiliation_string":"REV Project, The University of Western Australia, Perth, WA, Australia","institution_ids":["https://openalex.org/I177877127"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023652725","display_name":"Thomas Br\u00e4unl","orcid":"https://orcid.org/0000-0003-3215-0161"},"institutions":[{"id":"https://openalex.org/I177877127","display_name":"University of Western Australia","ror":"https://ror.org/047272k79","country_code":"AU","type":"education","lineage":["https://openalex.org/I177877127"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Thomas Braunl","raw_affiliation_strings":["REV Project, The University of Western Australia, Perth, WA, Australia"],"affiliations":[{"raw_affiliation_string":"REV Project, The University of Western Australia, Perth, WA, Australia","institution_ids":["https://openalex.org/I177877127"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5057254283"],"corresponding_institution_ids":["https://openalex.org/I177877127"],"apc_list":null,"apc_paid":null,"fwci":1.0695,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.81324318,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"429","last_page":"434"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9998000264167786,"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":0.9998000264167786,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9988999962806702,"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":0.9976000189781189,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.90449059009552},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7362300753593445},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7258809208869934},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6932865977287292},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6394873857498169},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6223479509353638},{"id":"https://openalex.org/keywords/obstacle","display_name":"Obstacle","score":0.614013671875},{"id":"https://openalex.org/keywords/monocular-vision","display_name":"Monocular vision","score":0.5327805280685425},{"id":"https://openalex.org/keywords/advanced-driver-assistance-systems","display_name":"Advanced driver assistance systems","score":0.43466657400131226},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.41729259490966797},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.28788337111473083},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.15251529216766357}],"concepts":[{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.90449059009552},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7362300753593445},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7258809208869934},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6932865977287292},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6394873857498169},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6223479509353638},{"id":"https://openalex.org/C2776650193","wikidata":"https://www.wikidata.org/wiki/Q264661","display_name":"Obstacle","level":2,"score":0.614013671875},{"id":"https://openalex.org/C158829959","wikidata":"https://www.wikidata.org/wiki/Q1640606","display_name":"Monocular vision","level":2,"score":0.5327805280685425},{"id":"https://openalex.org/C87833898","wikidata":"https://www.wikidata.org/wiki/Q1060280","display_name":"Advanced driver assistance systems","level":2,"score":0.43466657400131226},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.41729259490966797},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.28788337111473083},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.15251529216766357},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/mfi.2017.8170358","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mfi.2017.8170358","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:publications/2322dd06-c96f-4dc2-b569-35936692f2df","is_oa":false,"landing_page_url":"https://ieeexplore.ieee.org/document/8170358/","pdf_url":null,"source":{"id":"https://openalex.org/S4306402523","display_name":"UWA Profiles and Research Repository (University of Western Australia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I177877127","host_organization_name":"The University of Western Australia","host_organization_lineage":["https://openalex.org/I177877127"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Lim , K L , Drage , T & Braunl , T 2017 , ' Implementation of semantic segmentation for road and lane detection on an autonomous ground vehicle with LIDAR ' , pp. 429-434 . https://doi.org/10.1109/MFI.2017.8170358","raw_type":"conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5799999833106995,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320309480","display_name":"Nvidia","ror":"https://ror.org/03jdj4y14"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1424654272","https://openalex.org/W1910657905","https://openalex.org/W1939851200","https://openalex.org/W1963942272","https://openalex.org/W1973269033","https://openalex.org/W1986274450","https://openalex.org/W2010001385","https://openalex.org/W2010819181","https://openalex.org/W2031031248","https://openalex.org/W2042086752","https://openalex.org/W2057760367","https://openalex.org/W2061352600","https://openalex.org/W2061600793","https://openalex.org/W2066723015","https://openalex.org/W2088465036","https://openalex.org/W2107059899","https://openalex.org/W2124123377","https://openalex.org/W2138534490","https://openalex.org/W2148308609","https://openalex.org/W2155893237","https://openalex.org/W2342840547","https://openalex.org/W2963881378","https://openalex.org/W2964179165","https://openalex.org/W3129588880"],"related_works":["https://openalex.org/W4319317934","https://openalex.org/W2901265155","https://openalex.org/W2956374172","https://openalex.org/W4319837668","https://openalex.org/W2375650349","https://openalex.org/W3197179449","https://openalex.org/W2060079488","https://openalex.org/W4377092200","https://openalex.org/W4224020582","https://openalex.org/W2047544089"],"abstract_inverted_index":{"While":[0],"current":[1],"implementations":[2],"of":[3,10,42,94,101],"LIDAR-based":[4,49],"autonomous":[5,32,50],"driving":[6,33],"systems":[7],"are":[8,17],"capable":[9],"road":[11,22,54,120,131,147,172,177],"following":[12],"and":[13,55,64,71,104,129,133,149,174],"obstacle":[14],"avoidance,":[15],"they":[16],"still":[18],"unable":[19],"to":[20,46,61,97,164,167],"detect":[21],"lane":[23,29,56,134],"markings,":[24],"which":[25],"is":[26],"required":[27],"for":[28,53,146,153],"keeping":[30],"during":[31],"sequences.":[34],"In":[35],"this":[36,141],"paper,":[37],"we":[38,69],"present":[39],"an":[40],"implementation":[41],"semantic":[43,102,115],"image":[44],"segmentation":[45,116],"enhance":[47],"a":[48,73,78],"ground":[51],"vehicle":[52,163],"marking":[57],"detection,":[58],"in":[59,122],"addition":[60],"object":[62,156],"perception":[63],"classification.":[65],"To":[66],"achieve":[67],"this,":[68],"installed":[70],"calibrated":[72],"low-cost":[74],"monocular":[75],"camera":[76],"onto":[77],"LIDAR-fitted":[79],"Formula-SAE":[80,108],"Electric":[81],"car":[82,109],"as":[83],"our":[84],"test":[85],"bench.":[86],"Tests":[87],"were":[88,126],"performed":[89],"first":[90],"on":[91,106],"video":[92,124],"recordings":[93],"local":[95],"roads":[96],"verify":[98],"the":[99,107,119,162,171],"feasibility":[100],"segmentation,":[103],"then":[105],"with":[110,143],"LIDAR":[111,144],"readings.":[112],"Results":[113],"from":[114,176],"confirmed":[117],"that":[118,130],"areas":[121],"each":[123,154],"frame":[125],"properly":[127],"segmented,":[128],"edges":[132,148],"markers":[135],"can":[136,157],"be":[137,158,165],"classified.":[138],"By":[139],"combining":[140],"information":[142],"measurements":[145,152],"obstacles,":[150],"distance":[151],"segmented":[155],"obtained,":[159],"thereby":[160],"allowing":[161],"programmed":[166],"drive":[168],"autonomously":[169],"within":[170],"lanes":[173],"away":[175],"edges.":[178]},"counts_by_year":[{"year":2024,"cited_by_count":6},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}