{"id":"https://openalex.org/W2513134791","doi":"https://doi.org/10.1109/ivs.2016.7535461","title":"Robust virtual scan for obstacle Detection in urban environments","display_name":"Robust virtual scan for obstacle Detection in urban environments","publication_year":2016,"publication_date":"2016-06-01","ids":{"openalex":"https://openalex.org/W2513134791","doi":"https://doi.org/10.1109/ivs.2016.7535461","mag":"2513134791"},"language":"en","primary_location":{"id":"doi:10.1109/ivs.2016.7535461","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2016.7535461","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Intelligent Vehicles Symposium (IV)","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/A5097863069","display_name":"He Mengwen","orcid":null},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"He Mengwen","raw_affiliation_strings":["Graduare School of information Science, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, Japan","JST/COI, Nagoya, Japan"],"affiliations":[{"raw_affiliation_string":"Graduare School of information Science, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, Japan","institution_ids":["https://openalex.org/I60134161"]},{"raw_affiliation_string":"JST/COI, Nagoya, Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113688124","display_name":"Eijiro Takeuchi","orcid":null},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Eijiro Takeuchi","raw_affiliation_strings":["Graduare School of information Science, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, Japan"],"affiliations":[{"raw_affiliation_string":"Graduare School of information Science, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, Japan","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084435505","display_name":"Yoshiki Ninomiya","orcid":"https://orcid.org/0000-0003-1900-2973"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yoshiki Ninomiya","raw_affiliation_strings":["Institute of Innovation for Future Society (MIRAI), Nagoya University, Furo-cho, Chikusa-ku, Nagoya, Japan","JST/COI, Nagoya, Japan"],"affiliations":[{"raw_affiliation_string":"Institute of Innovation for Future Society (MIRAI), Nagoya University, Furo-cho, Chikusa-ku, Nagoya, Japan","institution_ids":["https://openalex.org/I60134161"]},{"raw_affiliation_string":"JST/COI, Nagoya, Japan","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101496340","display_name":"Shinpei Kato","orcid":"https://orcid.org/0000-0003-1782-5319"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shinpei Kato","raw_affiliation_strings":["Graduare School of information Science, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, Japan","JST/COI, Nagoya, Japan"],"affiliations":[{"raw_affiliation_string":"Graduare School of information Science, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, Japan","institution_ids":["https://openalex.org/I60134161"]},{"raw_affiliation_string":"JST/COI, Nagoya, Japan","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5097863069"],"corresponding_institution_ids":["https://openalex.org/I60134161"],"apc_list":null,"apc_paid":null,"fwci":1.2955,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.83499478,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"5","issue":null,"first_page":"683","last_page":"690"},"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9993000030517578,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9933000206947327,"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/obstacle","display_name":"Obstacle","score":0.8632370829582214},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.8506548404693604},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.8206132650375366},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7567067742347717},{"id":"https://openalex.org/keywords/occupancy-grid-mapping","display_name":"Occupancy grid mapping","score":0.7175595760345459},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6830489635467529},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.593574047088623},{"id":"https://openalex.org/keywords/ranging","display_name":"Ranging","score":0.5675244331359863},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.46895498037338257},{"id":"https://openalex.org/keywords/pedestrian-detection","display_name":"Pedestrian detection","score":0.45124930143356323},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.35406002402305603},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.19311866164207458},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1629524827003479},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.1282009780406952},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.10773420333862305},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.1008334755897522}],"concepts":[{"id":"https://openalex.org/C2776650193","wikidata":"https://www.wikidata.org/wiki/Q264661","display_name":"Obstacle","level":2,"score":0.8632370829582214},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.8506548404693604},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.8206132650375366},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7567067742347717},{"id":"https://openalex.org/C57077369","wikidata":"https://www.wikidata.org/wiki/Q7075747","display_name":"Occupancy grid mapping","level":4,"score":0.7175595760345459},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6830489635467529},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.593574047088623},{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.5675244331359863},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.46895498037338257},{"id":"https://openalex.org/C2780156472","wikidata":"https://www.wikidata.org/wiki/Q2355550","display_name":"Pedestrian detection","level":3,"score":0.45124930143356323},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.35406002402305603},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.19311866164207458},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1629524827003479},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.1282009780406952},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.10773420333862305},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.1008334755897522},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ivs.2016.7535461","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2016.7535461","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.8299999833106995,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1504992226","https://openalex.org/W1924453835","https://openalex.org/W2016087024","https://openalex.org/W2044164936","https://openalex.org/W2055207897","https://openalex.org/W2098692837","https://openalex.org/W2107268620","https://openalex.org/W2110946546","https://openalex.org/W2115519229","https://openalex.org/W2121806728","https://openalex.org/W2124651605","https://openalex.org/W2136767008","https://openalex.org/W2165191150","https://openalex.org/W2166518725","https://openalex.org/W2206222117","https://openalex.org/W2406067508","https://openalex.org/W2505763307","https://openalex.org/W2758107681","https://openalex.org/W2760981468","https://openalex.org/W4293682399","https://openalex.org/W6676797363"],"related_works":["https://openalex.org/W4384112194","https://openalex.org/W2802018156","https://openalex.org/W4313315626","https://openalex.org/W2101531944","https://openalex.org/W2922437833","https://openalex.org/W2100052226","https://openalex.org/W4312696271","https://openalex.org/W4223892596","https://openalex.org/W2933098581","https://openalex.org/W2556125083"],"abstract_inverted_index":{"Obstacle":[0],"detection":[1,52,86,112],"is":[2,60,89,118],"an":[3],"essential":[4],"technique":[5],"for":[6,83],"intelligent":[7],"vehicles.":[8],"Environmental":[9],"sensing":[10],"especially":[11],"plays":[12],"a":[13,66,90],"vital":[14],"role":[15],"to":[16,97,148],"achieve":[17],"accurate":[18],"obstacle":[19,51,111],"detection.":[20],"Unlike":[21],"classical":[22],"2D":[23,91,136,150],"scan,":[24,137],"emerging":[25],"3D":[26,54,70,94,114,127,153],"Light":[27],"Detection":[28],"and":[29,87,102,130,145],"Ranging":[30],"(LiDAR)":[31],"sensors":[32,129],"can":[33,123],"scan":[34,74],"dense":[35],"point":[36,95,154],"cloud":[37,96],"at":[38],"one":[39],"time,":[40],"which":[41],"represents":[42],"detailed":[43],"information":[44],"of":[45,50,69,93,110,152],"urban":[46],"environments.":[47],"The":[48,72],"downside":[49],"using":[53,113],"LiDAR,":[55,115],"on":[56,135],"the":[57,107],"other":[58],"hand,":[59],"its":[61,149],"computational":[62,108],"cost":[63],"posed":[64],"by":[65,78],"large":[67],"amount":[68],"data.":[71],"virtual":[73],"(VScan),":[75],"first":[76],"introduced":[77],"Petrovskaya":[79],"et":[80],"al.":[81],"[1]":[82],"efficient":[84],"vehicle":[85],"tracking,":[88,146],"compression":[92],"represent":[98],"free":[99],"space,":[100],"obstacles":[101],"unknown":[103],"areas.":[104],"To":[105],"overcome":[106],"problem":[109],"therefore,":[116],"VScan":[117],"suitable.":[119],"In":[120],"addition,":[121],"it":[122],"bridge":[124],"across":[125],"new-born":[126],"LiDAR":[128],"many":[131],"matured":[132],"applications":[133],"based":[134],"including":[138],"occupancy":[139],"grid":[140],"map,":[141],"SLAM,":[142],"planning,":[143],"detection,":[144],"due":[147],"representation":[151],"cloud.":[155]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}