{"id":"https://openalex.org/W2051739093","doi":"https://doi.org/10.1109/iros.2010.5650846","title":"Describing the environment using semantic labelled polylines from 2D laser scanned raw data: Application to autonomous navigation","display_name":"Describing the environment using semantic labelled polylines from 2D laser scanned raw data: Application to autonomous navigation","publication_year":2010,"publication_date":"2010-10-01","ids":{"openalex":"https://openalex.org/W2051739093","doi":"https://doi.org/10.1109/iros.2010.5650846","mag":"2051739093"},"language":"en","primary_location":{"id":"doi:10.1109/iros.2010.5650846","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2010.5650846","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE/RSJ International Conference on Intelligent Robots and Systems","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/A5087815027","display_name":"N. Pav\u00f3n","orcid":"https://orcid.org/0000-0001-9561-1151"},"institutions":[{"id":"https://openalex.org/I78880903","display_name":"Universidad de Huelva","ror":"https://ror.org/03a1kt624","country_code":"ES","type":"education","lineage":["https://openalex.org/I78880903"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"N Pavo\u0301n","raw_affiliation_strings":["Universidad de Huelva, Huelva, Spain"],"affiliations":[{"raw_affiliation_string":"Universidad de Huelva, Huelva, Spain","institution_ids":["https://openalex.org/I78880903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047603643","display_name":"J. Ferruz","orcid":"https://orcid.org/0000-0003-2563-9604"},"institutions":[{"id":"https://openalex.org/I79238269","display_name":"Universidad de Sevilla","ror":"https://ror.org/03yxnpp24","country_code":"ES","type":"education","lineage":["https://openalex.org/I79238269"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"J Ferruz","raw_affiliation_strings":["Universidad de Sevilla, Seville, Spain"],"affiliations":[{"raw_affiliation_string":"Universidad de Sevilla, Seville, Spain","institution_ids":["https://openalex.org/I79238269"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057947815","display_name":"An\u0131\u0301bal Ollero","orcid":"https://orcid.org/0000-0003-2155-2472"},"institutions":[{"id":"https://openalex.org/I79238269","display_name":"Universidad de Sevilla","ror":"https://ror.org/03yxnpp24","country_code":"ES","type":"education","lineage":["https://openalex.org/I79238269"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"A Ollero","raw_affiliation_strings":["Universidad de Sevilla, Seville, Spain"],"affiliations":[{"raw_affiliation_string":"Universidad de Sevilla, Seville, Spain","institution_ids":["https://openalex.org/I79238269"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5087815027"],"corresponding_institution_ids":["https://openalex.org/I78880903"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.13235877,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"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/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9991999864578247,"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/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9991999864578247,"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":0.9990000128746033,"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"}},{"id":"https://openalex.org/T13382","display_name":"Robotics and Automated Systems","score":0.9901999831199646,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/computer-science","display_name":"Computer science","score":0.7327035665512085},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.7278556823730469},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.65058434009552},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6248834133148193},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6180397868156433},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6145029067993164},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.6014678478240967},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.5725294947624207},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.48568853735923767},{"id":"https://openalex.org/keywords/laser-scanning","display_name":"Laser scanning","score":0.48252055048942566},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35262686014175415},{"id":"https://openalex.org/keywords/laser","display_name":"Laser","score":0.1828782558441162},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10649976134300232}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7327035665512085},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.7278556823730469},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.65058434009552},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6248834133148193},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6180397868156433},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6145029067993164},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.6014678478240967},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.5725294947624207},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.48568853735923767},{"id":"https://openalex.org/C141349535","wikidata":"https://www.wikidata.org/wiki/Q1361664","display_name":"Laser scanning","level":3,"score":0.48252055048942566},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35262686014175415},{"id":"https://openalex.org/C520434653","wikidata":"https://www.wikidata.org/wiki/Q38867","display_name":"Laser","level":2,"score":0.1828782558441162},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10649976134300232},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros.2010.5650846","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2010.5650846","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE/RSJ International Conference on Intelligent Robots and Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1487306722","https://openalex.org/W1978289112","https://openalex.org/W2033132434","https://openalex.org/W2045931592","https://openalex.org/W2052791907","https://openalex.org/W2090074023","https://openalex.org/W2113862832","https://openalex.org/W2114595091","https://openalex.org/W2118123110","https://openalex.org/W2123766318","https://openalex.org/W2143064560","https://openalex.org/W2148560027","https://openalex.org/W2165247936","https://openalex.org/W2167588500","https://openalex.org/W2171345024","https://openalex.org/W2228018563","https://openalex.org/W2908598901","https://openalex.org/W2987077892","https://openalex.org/W6758031428"],"related_works":["https://openalex.org/W4252510819","https://openalex.org/W3012838233","https://openalex.org/W2368590588","https://openalex.org/W4313058440","https://openalex.org/W8302103","https://openalex.org/W1868959281","https://openalex.org/W2319723524","https://openalex.org/W1493121153","https://openalex.org/W3164494351","https://openalex.org/W2393109664"],"abstract_inverted_index":{"This":[0],"paper":[1],"describes":[2],"a":[3,8,23,36,45,63,75,97,116],"real-time":[4],"method":[5,107],"that":[6],"obtains":[7],"hybrid":[9],"description":[10],"of":[11,29,40,47,65,77],"the":[12,41,86,90],"environment":[13,87],"(both":[14],"metric":[15],"and":[16,89,103,114],"semantic)":[17],"from":[18,82],"raw":[19],"data":[20],"perceived":[21],"by":[22,96],"2D":[24],"laser":[25],"scanner.":[26],"A":[27],"set":[28,46,76],"linguistically":[30],"labelled":[31],"polylines":[32],"allows":[33],"to":[34,61,99],"build":[35],"compact":[37],"geometrical":[38],"representation":[39,88],"indoor":[42],"location":[43],"where":[44],"representative":[48],"points":[49,70],"(or":[50],"features)":[51],"are":[52,57,71,80],"semantically":[53],"described.":[54],"These":[55],"features":[56],"processed":[58],"in":[59,112],"order":[60],"find":[62],"list":[64],"traversable":[66],"segments":[67],"whose":[68],"middle":[69],"heuristically":[72],"clustered.":[73],"Finally,":[74],"safe":[78,91],"paths":[79,92],"calculated":[81],"these":[83],"clusters.":[84],"Both":[85],"can":[93],"be":[94],"used":[95],"controller":[98],"carry":[100],"out":[101],"navigation":[102],"exploration":[104],"tasks.":[105],"The":[106],"has":[108],"been":[109],"successfully":[110],"tested":[111],"simulation":[113],"on":[115],"real":[117],"robot.":[118]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
