{"id":"https://openalex.org/W4289823737","doi":"https://doi.org/10.1109/tiv.2022.3195426","title":"Location-Guided LiDAR-Based Panoptic Segmentation for Autonomous Driving","display_name":"Location-Guided LiDAR-Based Panoptic Segmentation for Autonomous Driving","publication_year":2022,"publication_date":"2022-08-05","ids":{"openalex":"https://openalex.org/W4289823737","doi":"https://doi.org/10.1109/tiv.2022.3195426"},"language":"en","primary_location":{"id":"doi:10.1109/tiv.2022.3195426","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tiv.2022.3195426","pdf_url":null,"source":{"id":"https://openalex.org/S4210199657","display_name":"IEEE Transactions on Intelligent Vehicles","issn_l":"2379-8858","issn":["2379-8858","2379-8904"],"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 Intelligent Vehicles","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/A5051862103","display_name":"Guozeng Xian","orcid":"https://orcid.org/0000-0003-3340-1129"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guozeng Xian","raw_affiliation_strings":["Shanghai Key Lab of Intelligent Information Processing, School of Computer Science, Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Key Lab of Intelligent Information Processing, School of Computer Science, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004976606","display_name":"Changyun Ji","orcid":null},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changyun Ji","raw_affiliation_strings":["Shanghai Key Lab of Intelligent Information Processing, School of Computer Science, Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Key Lab of Intelligent Information Processing, School of Computer Science, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105594143","display_name":"Lin Zhou","orcid":"https://orcid.org/0000-0001-6049-6915"},"institutions":[{"id":"https://openalex.org/I4210127843","display_name":"First Automotive Works (China)","ror":"https://ror.org/0353t4m91","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210127843"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Zhou","raw_affiliation_strings":["FAW (Nanjing) Technology Development Company Ltd., Nanjing, China"],"affiliations":[{"raw_affiliation_string":"FAW (Nanjing) Technology Development Company Ltd., Nanjing, China","institution_ids":["https://openalex.org/I4210127843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100323037","display_name":"Guang Chen","orcid":"https://orcid.org/0000-0002-7416-592X"},"institutions":[{"id":"https://openalex.org/I4210127843","display_name":"First Automotive Works (China)","ror":"https://ror.org/0353t4m91","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210127843"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guang Chen","raw_affiliation_strings":["FAW (Nanjing) Technology Development Company Ltd., Nanjing, China"],"affiliations":[{"raw_affiliation_string":"FAW (Nanjing) Technology Development Company Ltd., Nanjing, China","institution_ids":["https://openalex.org/I4210127843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100696429","display_name":"Junping Zhang","orcid":"https://orcid.org/0000-0002-5924-3360"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junping Zhang","raw_affiliation_strings":["Shanghai Key Lab of Intelligent Information Processing, School of Computer Science, Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Key Lab of Intelligent Information Processing, School of Computer Science, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100365239","display_name":"Bin Li","orcid":"https://orcid.org/0000-0002-9633-0033"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Li","raw_affiliation_strings":["Shanghai Key Lab of Intelligent Information Processing, School of Computer Science, Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Key Lab of Intelligent Information Processing, School of Computer Science, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003418019","display_name":"Xiangyang Xue","orcid":"https://orcid.org/0000-0002-4897-9209"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangyang Xue","raw_affiliation_strings":["Shanghai Key Lab of Intelligent Information Processing, School of Computer Science, Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Key Lab of Intelligent Information Processing, School of Computer Science, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058626590","display_name":"Jian Pu","orcid":"https://orcid.org/0000-0002-0892-1213"},"institutions":[{"id":"https://openalex.org/I4210164150","display_name":"Shanghai Center for Brain Science and Brain-Inspired Technology","ror":"https://ror.org/0551a0y31","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210164150"]},{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]},{"id":"https://openalex.org/I4210085920","display_name":"Shanghai Institute for Science of Science","ror":"https://ror.org/004srxn73","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210085920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Pu","raw_affiliation_strings":["Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I4210164150","https://openalex.org/I4210085920","https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5051862103"],"corresponding_institution_ids":["https://openalex.org/I24943067"],"apc_list":null,"apc_paid":null,"fwci":2.3142,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.89815505,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"8","issue":"2","first_page":"1473","last_page":"1483"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","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/T10036","display_name":"Advanced Neural Network Applications","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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9973000288009644,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7557109594345093},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7516675591468811},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.7112002372741699},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7068659067153931},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7047095894813538},{"id":"https://openalex.org/keywords/panopticon","display_name":"Panopticon","score":0.6571981906890869},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.606282651424408},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5829413533210754},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.5401645302772522},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.50853431224823},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5049226880073547},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.42014044523239136},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3238688111305237},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2107333242893219},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.18469884991645813},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.17034834623336792},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11839038133621216},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.07627284526824951}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7557109594345093},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7516675591468811},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7112002372741699},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7068659067153931},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7047095894813538},{"id":"https://openalex.org/C138569888","wikidata":"https://www.wikidata.org/wiki/Q828310","display_name":"Panopticon","level":3,"score":0.6571981906890869},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.606282651424408},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5829413533210754},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.5401645302772522},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.50853431224823},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5049226880073547},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.42014044523239136},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3238688111305237},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2107333242893219},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.18469884991645813},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.17034834623336792},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11839038133621216},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.07627284526824951},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tiv.2022.3195426","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tiv.2022.3195426","pdf_url":null,"source":{"id":"https://openalex.org/S4210199657","display_name":"IEEE Transactions on Intelligent Vehicles","issn_l":"2379-8858","issn":["2379-8858","2379-8904"],"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 Intelligent Vehicles","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320319772","display_name":"Shanghai Center for Brain Science and Brain-Inspired Technology","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W2150066425","https://openalex.org/W2560609797","https://openalex.org/W2737444374","https://openalex.org/W2769312834","https://openalex.org/W2795587607","https://openalex.org/W2907990917","https://openalex.org/W2962759414","https://openalex.org/W2962912109","https://openalex.org/W2963150697","https://openalex.org/W2963350373","https://openalex.org/W2968296999","https://openalex.org/W2990613095","https://openalex.org/W2991216808","https://openalex.org/W2997944991","https://openalex.org/W2999219213","https://openalex.org/W2999947750","https://openalex.org/W3003437478","https://openalex.org/W3012494314","https://openalex.org/W3034314779","https://openalex.org/W3034355852","https://openalex.org/W3034430142","https://openalex.org/W3034493208","https://openalex.org/W3034550906","https://openalex.org/W3034584726","https://openalex.org/W3035275207","https://openalex.org/W3035363555","https://openalex.org/W3035398346","https://openalex.org/W3040318838","https://openalex.org/W3091155238","https://openalex.org/W3093434340","https://openalex.org/W3106546328","https://openalex.org/W3106842734","https://openalex.org/W3127779003","https://openalex.org/W3129377622","https://openalex.org/W3129618687","https://openalex.org/W3158730736","https://openalex.org/W3167522598","https://openalex.org/W3168037706","https://openalex.org/W3168181468","https://openalex.org/W3171433839","https://openalex.org/W3174527233","https://openalex.org/W3177330511","https://openalex.org/W3181190968","https://openalex.org/W3181380198","https://openalex.org/W3183449602","https://openalex.org/W3193773166","https://openalex.org/W3197472509","https://openalex.org/W3200068634","https://openalex.org/W3206593131","https://openalex.org/W3207776935","https://openalex.org/W4205911079","https://openalex.org/W4226153706","https://openalex.org/W4226343873","https://openalex.org/W4226345352","https://openalex.org/W4246233237","https://openalex.org/W4285144577","https://openalex.org/W4287814239","https://openalex.org/W6739778489","https://openalex.org/W6767312599","https://openalex.org/W6776047415","https://openalex.org/W6784333009"],"related_works":["https://openalex.org/W2921107741","https://openalex.org/W2197002326","https://openalex.org/W4233922521","https://openalex.org/W3204968380","https://openalex.org/W1710116222","https://openalex.org/W2800383628","https://openalex.org/W2494728058","https://openalex.org/W2345320341","https://openalex.org/W4293094720","https://openalex.org/W2739701376"],"abstract_inverted_index":{"The":[0,142],"application":[1],"of":[2,20,35,41,56,61,74,138,155],"artificial":[3],"intelligence":[4],"in":[5,43,153],"autonomous":[6],"driving":[7],"is":[8,18],"becoming":[9],"increasingly":[10],"extensive.":[11],"LiDAR-based":[12],"3D":[13,45,88],"point":[14,46,89],"cloud":[15],"panoptic":[16,123,126,157],"segmentation":[17],"one":[19],"the":[21,38,44,54,59,72,79,87,97,113,122,133,139],"most":[22,34],"promising":[23,32],"and":[24,63,95,135],"arduous":[25],"tasks.":[26],"Although":[27],"recent":[28],"methods":[29,148],"have":[30],"produced":[31],"results,":[33],"them":[36],"ignore":[37],"prior":[39],"distribution":[40,55],"objects":[42,57,67],"clouds.":[47],"In":[48],"this":[49,75],"paper,":[50],"we":[51,77,106],"first":[52],"investigate":[53],"around":[58],"heading":[60],"vehicles":[62],"observe":[64],"that":[65],"several":[66],"are":[68,119],"severely":[69],"biased.":[70],"On":[71],"basis":[73],"observation,":[76],"use":[78],"bird's":[80],"eye":[81],"view":[82],"(BEV)":[83],"representation":[84],"to":[85,111,121],"project":[86],"clouds":[90],"into":[91,100],"a":[92],"2D":[93,151],"image":[94],"divide":[96],"BEV":[98],"projection":[99,152],"eight":[101],"areas.":[102],"For":[103],"each":[104],"area,":[105],"apply":[107],"input-dependent":[108],"convolution":[109],"kernels":[110],"extract":[112],"local":[114,117],"feature.":[115],"These":[116],"features":[118],"concatenated":[120],"backbone":[124],"for":[125],"segmentation.":[127],"We":[128],"validate":[129],"our":[130],"method":[131,144],"on":[132,150],"validation":[134],"test":[136],"sets":[137],"SemanticKITTI":[140],"dataset.":[141],"proposed":[143],"outperforms":[145],"all":[146],"state-of-the-art":[147],"based":[149],"terms":[154],"higher":[156],"quality":[158],"scores.":[159]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}