{"id":"https://openalex.org/W2138534490","doi":"https://doi.org/10.1109/ivs.2010.5548134","title":"LIDAR-based road and road-edge detection","display_name":"LIDAR-based road and road-edge detection","publication_year":2010,"publication_date":"2010-06-01","ids":{"openalex":"https://openalex.org/W2138534490","doi":"https://doi.org/10.1109/ivs.2010.5548134","mag":"2138534490"},"language":"en","primary_location":{"id":"doi:10.1109/ivs.2010.5548134","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2010.5548134","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE Intelligent Vehicles Symposium","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101462549","display_name":"Wende Zhang","orcid":"https://orcid.org/0000-0002-6293-5093"},"institutions":[{"id":"https://openalex.org/I118136607","display_name":"General Motors (United States)","ror":"https://ror.org/05addee68","country_code":"US","type":"company","lineage":["https://openalex.org/I118136607"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Wende Zhang","raw_affiliation_strings":["Electrical and Controls Integration Lab, Research and Development and Planning, General Motors Corporation, Warren, MI, USA","Electrical and Controls Integration Lab, General Motors Corporation, R&D and Planning, 30500 Mound Rd, Warren, MI, 48090, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical and Controls Integration Lab, Research and Development and Planning, General Motors Corporation, Warren, MI, USA","institution_ids":["https://openalex.org/I118136607"]},{"raw_affiliation_string":"Electrical and Controls Integration Lab, General Motors Corporation, R&D and Planning, 30500 Mound Rd, Warren, MI, 48090, USA","institution_ids":["https://openalex.org/I118136607"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5101462549"],"corresponding_institution_ids":["https://openalex.org/I118136607"],"apc_list":null,"apc_paid":null,"fwci":8.9929,"has_fulltext":false,"cited_by_count":167,"citation_normalized_percentile":{"value":0.9893149,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"845","last_page":"848"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9997000098228455,"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":0.9997000098228455,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9988999962806702,"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"}},{"id":"https://openalex.org/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.7995219826698303},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.737235963344574},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6270620226860046},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5297741889953613},{"id":"https://openalex.org/keywords/road-surface","display_name":"Road surface","score":0.5132372379302979},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49151262640953064},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.481583833694458},{"id":"https://openalex.org/keywords/ground-plane","display_name":"Ground plane","score":0.47918736934661865},{"id":"https://openalex.org/keywords/road-traffic","display_name":"Road traffic","score":0.47360897064208984},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.43672293424606323},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.40793031454086304},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2651059031486511},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.22206589579582214},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.19766771793365479},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.12890172004699707},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10501405596733093}],"concepts":[{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.7995219826698303},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.737235963344574},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6270620226860046},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5297741889953613},{"id":"https://openalex.org/C2780042925","wikidata":"https://www.wikidata.org/wiki/Q1049667","display_name":"Road surface","level":2,"score":0.5132372379302979},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49151262640953064},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.481583833694458},{"id":"https://openalex.org/C88764893","wikidata":"https://www.wikidata.org/wiki/Q1547722","display_name":"Ground plane","level":3,"score":0.47918736934661865},{"id":"https://openalex.org/C2985695025","wikidata":"https://www.wikidata.org/wiki/Q4323994","display_name":"Road traffic","level":2,"score":0.47360897064208984},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.43672293424606323},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.40793031454086304},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2651059031486511},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.22206589579582214},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.19766771793365479},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.12890172004699707},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10501405596733093},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C21822782","wikidata":"https://www.wikidata.org/wiki/Q131214","display_name":"Antenna (radio)","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ivs.2010.5548134","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2010.5548134","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE Intelligent Vehicles Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.8299999833106995}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1491160562","https://openalex.org/W2095905764","https://openalex.org/W2105934661","https://openalex.org/W2117367877","https://openalex.org/W2121806728","https://openalex.org/W2139212933","https://openalex.org/W2406067508"],"related_works":["https://openalex.org/W4319317934","https://openalex.org/W2901265155","https://openalex.org/W4319837668","https://openalex.org/W4308071650","https://openalex.org/W3188333020","https://openalex.org/W2956374172","https://openalex.org/W1964041166","https://openalex.org/W2333143270","https://openalex.org/W621325930","https://openalex.org/W1970270637"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,69,89,104],"LIDAR-based":[4],"road":[5,14,54,70,91,105,122],"and":[6,16,35,57,86,117,123,141],"road-edge":[7,124],"detection":[8,119],"method":[9,112],"is":[10,19,29,68,84,103],"proposed":[11,111,127],"to":[12,51,62,88,97,137],"identify":[13,52],"regions":[15],"road-edges,":[17],"which":[18],"an":[20],"essential":[21],"component":[22],"of":[23,76,121],"autonomous":[24],"vehicles.":[25],"LIDAR":[26],"range":[27],"data":[28],"decomposed":[30],"into":[31],"signals":[32,36,45,79],"in":[33,93],"elevation":[34],"projected":[37,78],"on":[38,80,143],"the":[39,43,53,65,73,77,81,94,100,133,144],"ground":[40,82],"plane.":[41],"First,":[42],"elevation-based":[44],"are":[46],"processed":[47],"by":[48,58],"filtering":[49],"techniques":[50,61],"candidate":[55,66,101],"region,":[56],"pattern":[59],"recognition":[60],"determine":[63,98],"whether":[64,99],"region":[67,102],"segment.":[71],"Then,":[72],"line":[74],"representation":[75],"plane":[83],"identified":[85],"compared":[87],"simple":[90],"model":[92],"top-down":[95],"view":[96],"segment":[106],"with":[107],"its":[108,139],"road-edges.":[109],"The":[110,126],"provides":[113],"fast":[114],"processing":[115],"speed":[116],"reliable":[118],"performance":[120],"detection.":[125],"framework":[128],"has":[129],"been":[130],"verified":[131],"through":[132],"DARPA":[134],"Urban":[135],"Challenge":[136],"show":[138],"robustness":[140],"efficiency":[142],"winning":[145],"entry":[146],"Boss":[147],"vehicle.":[148]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":17},{"year":2019,"cited_by_count":25},{"year":2018,"cited_by_count":16},{"year":2017,"cited_by_count":12},{"year":2016,"cited_by_count":12},{"year":2015,"cited_by_count":8},{"year":2014,"cited_by_count":11},{"year":2013,"cited_by_count":9},{"year":2012,"cited_by_count":8}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}