{"id":"https://openalex.org/W2885415355","doi":"https://doi.org/10.1109/tvt.2018.2865836","title":"Curb Detection for Road and Sidewalk Detection","display_name":"Curb Detection for Road and Sidewalk Detection","publication_year":2018,"publication_date":"2018-08-17","ids":{"openalex":"https://openalex.org/W2885415355","doi":"https://doi.org/10.1109/tvt.2018.2865836","mag":"2885415355"},"language":"en","primary_location":{"id":"doi:10.1109/tvt.2018.2865836","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2018.2865836","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Vehicular Technology","raw_type":"journal-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/A5045072098","display_name":"Mingmei Cheng","orcid":null},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingmei Cheng","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-8570-2535","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102723963","display_name":"Yigong Zhang","orcid":"https://orcid.org/0000-0002-4625-5688"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yigong Zhang","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039025133","display_name":"Yingna Su","orcid":"https://orcid.org/0000-0003-2348-5082"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingna Su","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-2348-5082","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101540588","display_name":"Jose M. \u00c1lvarez","orcid":"https://orcid.org/0000-0002-7535-6322"},"institutions":[{"id":"https://openalex.org/I4210127875","display_name":"Nvidia (United States)","ror":"https://ror.org/03jdj4y14","country_code":"US","type":"company","lineage":["https://openalex.org/I4210127875"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jose M. Alvarez","raw_affiliation_strings":["NVIDIA, Santa Clara, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NVIDIA, Santa Clara, CA, USA","institution_ids":["https://openalex.org/I4210127875"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036133825","display_name":"Hui Kong","orcid":"https://orcid.org/0000-0002-5303-0276"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Kong","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-5303-0276","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.0591,"has_fulltext":false,"cited_by_count":58,"citation_normalized_percentile":{"value":0.91439173,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"67","issue":"11","first_page":"10330","last_page":"10342"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9998999834060669,"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":0.9998999834060669,"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/T13282","display_name":"Automated Road and Building Extraction","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6671589016914368},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.663375735282898},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6342754364013672},{"id":"https://openalex.org/keywords/vanishing-point","display_name":"Vanishing point","score":0.6253462433815002},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6193386316299438},{"id":"https://openalex.org/keywords/obstacle","display_name":"Obstacle","score":0.5600978136062622},{"id":"https://openalex.org/keywords/road-surface","display_name":"Road surface","score":0.5374660491943359},{"id":"https://openalex.org/keywords/dijkstras-algorithm","display_name":"Dijkstra's algorithm","score":0.47683706879615784},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.45961636304855347},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.45579585433006287},{"id":"https://openalex.org/keywords/stereopsis","display_name":"Stereopsis","score":0.42716965079307556},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.41001325845718384},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.275962233543396},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.2716415524482727},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.25725144147872925},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.20267519354820251},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.17041495442390442},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.13595569133758545},{"id":"https://openalex.org/keywords/shortest-path-problem","display_name":"Shortest path problem","score":0.13118961453437805}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6671589016914368},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.663375735282898},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6342754364013672},{"id":"https://openalex.org/C99404194","wikidata":"https://www.wikidata.org/wiki/Q163362","display_name":"Vanishing point","level":3,"score":0.6253462433815002},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6193386316299438},{"id":"https://openalex.org/C2776650193","wikidata":"https://www.wikidata.org/wiki/Q264661","display_name":"Obstacle","level":2,"score":0.5600978136062622},{"id":"https://openalex.org/C2780042925","wikidata":"https://www.wikidata.org/wiki/Q1049667","display_name":"Road surface","level":2,"score":0.5374660491943359},{"id":"https://openalex.org/C173870130","wikidata":"https://www.wikidata.org/wiki/Q8548","display_name":"Dijkstra's algorithm","level":4,"score":0.47683706879615784},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.45961636304855347},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.45579585433006287},{"id":"https://openalex.org/C68537008","wikidata":"https://www.wikidata.org/wiki/Q247932","display_name":"Stereopsis","level":2,"score":0.42716965079307556},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.41001325845718384},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.275962233543396},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.2716415524482727},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.25725144147872925},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20267519354820251},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.17041495442390442},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.13595569133758545},{"id":"https://openalex.org/C22590252","wikidata":"https://www.wikidata.org/wiki/Q1058754","display_name":"Shortest path problem","level":3,"score":0.13118961453437805},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"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/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tvt.2018.2865836","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2018.2865836","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Vehicular Technology","raw_type":"journal-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":[{"id":"https://openalex.org/G2532567188","display_name":null,"funder_award_id":"BK20151491","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G7886693716","display_name":"\u9762\u5411\u65e0\u4eba\u8f66\u7684\u5168\u666f\u5f69\u8272\u7acb\u4f53\u7ea2\u5916\u76f8\u673a\u6784\u5efa\u53ca\u5176\u5728\u8d8a\u91ce\u73af\u5883\u611f\u77e5\u548c\u81ea\u4e3b\u5b9a\u4f4d\u4e2d\u7684\u5e94\u7528\u7814\u7a76","funder_award_id":"61672287","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W360623563","https://openalex.org/W1490865140","https://openalex.org/W1515019571","https://openalex.org/W1586661082","https://openalex.org/W1911231350","https://openalex.org/W1912649600","https://openalex.org/W1924453835","https://openalex.org/W1934098105","https://openalex.org/W1966539231","https://openalex.org/W1968584574","https://openalex.org/W1976917705","https://openalex.org/W1980655679","https://openalex.org/W1987983010","https://openalex.org/W1989355638","https://openalex.org/W1992490655","https://openalex.org/W1994566837","https://openalex.org/W2053131138","https://openalex.org/W2053571848","https://openalex.org/W2062120829","https://openalex.org/W2072124831","https://openalex.org/W2077709713","https://openalex.org/W2085040442","https://openalex.org/W2085261163","https://openalex.org/W2100414449","https://openalex.org/W2131076267","https://openalex.org/W2133476816","https://openalex.org/W2137304784","https://openalex.org/W2143742957","https://openalex.org/W2147598751","https://openalex.org/W2150945251","https://openalex.org/W2152422345","https://openalex.org/W2163470068","https://openalex.org/W2280478292","https://openalex.org/W2412782625","https://openalex.org/W2508311141","https://openalex.org/W2526530238","https://openalex.org/W2536640939","https://openalex.org/W2561180738","https://openalex.org/W2772623520","https://openalex.org/W2964309882","https://openalex.org/W3102274561","https://openalex.org/W6612134913","https://openalex.org/W6640185247","https://openalex.org/W6728312639"],"related_works":["https://openalex.org/W2379764279","https://openalex.org/W2360924501","https://openalex.org/W4248231771","https://openalex.org/W2799243310","https://openalex.org/W2766237626","https://openalex.org/W2372895815","https://openalex.org/W2949130880","https://openalex.org/W2601467812","https://openalex.org/W2041765970","https://openalex.org/W2434106433"],"abstract_inverted_index":{"Curb":[0],"detection,":[1],"a":[2,43,130,181],"significant":[3],"area":[4,66,177,192],"of":[5,35,107,155,189,196,218,230],"autonomous":[6],"driving,":[7],"plays":[8],"an":[9,95,116],"important":[10],"role":[11],"in":[12,58],"road":[13,48,90,135,140,165,171,197,206],"detection":[14,21,45,51,173,209,224],"and":[15,31,49,73,91,104,161,170,193,207,222,228],"obstacle":[16],"avoidance,":[17],"etc.":[18],"However,":[19],"curb":[20,44,110,125,169],"is":[22,67,178],"challenging":[23],"due":[24],"to":[25,85,137,151],"the":[26,32,36,59,64,71,81,89,101,120,124,139,148,152,156,164,168,175,186,190,194,212,219,226],"problems":[27],"like":[28],"occlusions,":[29],"shadows":[30],"small":[33],"size":[34],"target.":[37],"In":[38,80],"this":[39,231],"paper,":[40],"we":[41,93],"propose":[42,94],"paradigm":[46],"for":[47,52,205],"sidewalk":[50,176,191,208,223],"mobile":[53],"robots":[54],"using":[55],"stereo":[56,78],"vision":[57],"urban":[60],"residential":[61],"region.":[62],"First,":[63],"flat":[65,83],"estimated":[68,82],"based":[69,99,184],"on":[70,100,185,211],"disparity":[72,105],"v-disparity":[74],"maps":[75],"generated":[76,146],"from":[77,88,147],"matching.":[79],"area,":[84],"distinguish":[86],"curbs":[87],"obstacles,":[92],"efficient":[96],"16-dimensional":[97],"descriptor":[98],"appearance,":[102],"geometry,":[103],"characteristics":[106],"curbs.":[108],"The":[109,199,215],"points":[111,126],"can":[112],"be":[113],"extracted":[114],"by":[115,129,180],"SVM":[117],"classifier":[118],"with":[119],"obtained":[121],"descriptors.":[122],"Second,":[123],"are":[127,159],"exploited":[128],"vanishing":[131,149],"point":[132,150],"constrained":[133],"Dijkstra":[134],"model":[136],"find":[138],"region,":[141],"where":[142],"two":[143],"shortest":[144],"paths,":[145],"last":[153],"row":[154],"cost":[157],"map,":[158],"searched":[160],"regarded":[162],"as":[163],"borders.":[166],"Following":[167],"region":[172],"results,":[174],"detected":[179],"region-growing-like":[182],"method":[183,201],"geometry":[187],"characteristic":[188],"layout":[195],"scenes.":[198],"proposed":[200],"has":[202],"been":[203],"tested":[204],"tasks":[210],"KITTI":[213],"dataset.":[214],"experimental":[216],"results":[217],"curb,":[220],"road,":[221],"demonstrate":[225],"accuracy":[227],"robustness":[229],"method.":[232]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}