{"id":"https://openalex.org/W4385322451","doi":"https://doi.org/10.1109/iv55152.2023.10186628","title":"Adaptive-Mask Fusion Network for Segmentation of Drivable Road and Negative Obstacle With Untrustworthy Features","display_name":"Adaptive-Mask Fusion Network for Segmentation of Drivable Road and Negative Obstacle With Untrustworthy Features","publication_year":2023,"publication_date":"2023-06-04","ids":{"openalex":"https://openalex.org/W4385322451","doi":"https://doi.org/10.1109/iv55152.2023.10186628"},"language":"en","primary_location":{"id":"doi:10.1109/iv55152.2023.10186628","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv55152.2023.10186628","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Intelligent Vehicles Symposium (IV)","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/A5034273416","display_name":"Zhen Feng","orcid":"https://orcid.org/0000-0002-8752-950X"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]},{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Zhen Feng","raw_affiliation_strings":["The Hong Kong Polytechnic University,Kowloon,Hong Kong","The Hong Kong Polytechnic University, Kowloon, Hong Kong","Harbin Institute of Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Hong Kong Polytechnic University,Kowloon,Hong Kong","institution_ids":["https://openalex.org/I14243506"]},{"raw_affiliation_string":"The Hong Kong Polytechnic University, Kowloon, Hong Kong","institution_ids":["https://openalex.org/I14243506"]},{"raw_affiliation_string":"Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103021286","display_name":"Yuchao Feng","orcid":"https://orcid.org/0000-0003-3848-7670"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yuchao Feng","raw_affiliation_strings":["The Hong Kong Polytechnic University,Kowloon,Hong Kong","The Hong Kong Polytechnic University, Kowloon, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Hong Kong Polytechnic University,Kowloon,Hong Kong","institution_ids":["https://openalex.org/I14243506"]},{"raw_affiliation_string":"The Hong Kong Polytechnic University, Kowloon, Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048565157","display_name":"Yanning Guo","orcid":"https://orcid.org/0000-0001-6150-3646"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanning Guo","raw_affiliation_strings":["Harbin Institute of Technology,Harbin,China","Harbin Institute of Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology,Harbin,China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039935452","display_name":"Yuxiang Sun","orcid":"https://orcid.org/0000-0002-7704-0559"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yuxiang Sun","raw_affiliation_strings":["The Hong Kong Polytechnic University,Kowloon,Hong Kong","The Hong Kong Polytechnic University, Kowloon, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Hong Kong Polytechnic University,Kowloon,Hong Kong","institution_ids":["https://openalex.org/I14243506"]},{"raw_affiliation_string":"The Hong Kong Polytechnic University, Kowloon, Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998000264167786,"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":0.9998000264167786,"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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9869999885559082,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7718809843063354},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.762464165687561},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7403830289840698},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.6741721630096436},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.6517733335494995},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6397631168365479},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.6104575395584106},{"id":"https://openalex.org/keywords/obstacle","display_name":"Obstacle","score":0.5108768343925476},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5068264603614807},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5046874284744263},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.47120755910873413},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.44789135456085205},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3301880955696106},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07793855667114258},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.06781399250030518}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7718809843063354},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.762464165687561},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7403830289840698},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.6741721630096436},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.6517733335494995},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6397631168365479},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.6104575395584106},{"id":"https://openalex.org/C2776650193","wikidata":"https://www.wikidata.org/wiki/Q264661","display_name":"Obstacle","level":2,"score":0.5108768343925476},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5068264603614807},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5046874284744263},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.47120755910873413},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.44789135456085205},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3301880955696106},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07793855667114258},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.06781399250030518},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iv55152.2023.10186628","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv55152.2023.10186628","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.6299999952316284,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W2587989515","https://openalex.org/W2884078676","https://openalex.org/W2921749009","https://openalex.org/W2963419596","https://openalex.org/W2964309882","https://openalex.org/W3015710236","https://openalex.org/W3048985289","https://openalex.org/W3080961686","https://openalex.org/W3081055539","https://openalex.org/W3104610662","https://openalex.org/W3119834764","https://openalex.org/W3130089842","https://openalex.org/W3134257222","https://openalex.org/W3163559940","https://openalex.org/W3172509117","https://openalex.org/W3210991238","https://openalex.org/W4221163766","https://openalex.org/W4283327872","https://openalex.org/W4285205872","https://openalex.org/W4293258836","https://openalex.org/W4293811919","https://openalex.org/W4311088269","https://openalex.org/W6733387591","https://openalex.org/W6748481559","https://openalex.org/W6782917812"],"related_works":["https://openalex.org/W3000097931","https://openalex.org/W2354322770","https://openalex.org/W2794103424","https://openalex.org/W4237547500","https://openalex.org/W1570848052","https://openalex.org/W1996530509","https://openalex.org/W3102673927","https://openalex.org/W2327954668","https://openalex.org/W4390606538","https://openalex.org/W2095903272"],"abstract_inverted_index":{"Segmentation":[0],"of":[1,13,43,50],"drivable":[2,161],"roads":[3,162],"and":[4,32,105,138,163,183],"negative":[5,164],"obstacles":[6,165],"is":[7],"critical":[8],"to":[9,24,71,108,115,133],"the":[10,48,67,82,102,120,130,157],"safe":[11],"driving":[12],"autonomous":[14],"vehicles.":[15],"Currently,":[16],"many":[17],"multi-modal":[18,51],"fusion":[19,122,131],"methods":[20],"have":[21],"been":[22],"proposed":[23],"improve":[25],"segmentation":[26,103],"accuracy,":[27],"such":[28],"as":[29],"fusing":[30,40],"RGB":[31,137],"depth":[33,83,88,95,139],"images.":[34,96],"However,":[35],"we":[36,118,145],"find":[37],"that":[38,79,171],"when":[39],"two":[41],"modals":[42],"data":[44,89],"with":[45,86,141,151,178],"untrustworthy":[46,68,98],"features,":[47],"performance":[49,176],"networks":[52],"could":[53],"be":[54],"degraded,":[55],"even":[56],"lower":[57],"than":[58],"those":[59,72],"using":[60],"a":[61,113,147],"single":[62],"modality.":[63],"In":[64,143],"this":[65,116],"paper,":[66],"features":[69,99,135],"refer":[70],"extracted":[73],"from":[74,136],"regions":[75],"(e.g.,":[76],"far":[77],"objects":[78],"are":[80,185],"beyond":[81],"measurement":[84],"range)":[85],"invalid":[87],"(i.e.,":[90],"0":[91],"pixel":[92],"value)":[93],"in":[94,129],"The":[97],"can":[100],"confuse":[101],"results,":[104],"hence":[106],"lead":[107],"inferior":[109],"results.":[110],"To":[111],"provide":[112],"solution":[114],"issue,":[117],"propose":[119],"adaptive-mask":[121],"Network":[123],"(AMFNet)":[124],"by":[125],"introducing":[126],"adaptive-weight":[127],"masks":[128],"module":[132],"fuse":[134],"images":[140],"inconsistency.":[142],"addition,":[144],"release":[146],"large-scale":[148],"RGB-depth":[149],"dataset":[150,159,184],"manually-labeled":[152],"ground":[153],"truth":[154],"based":[155],"on":[156],"NPO":[158],"for":[160],"segmentation.":[166],"Extensive":[167],"experimental":[168],"results":[169],"demonstrate":[170],"our":[172],"network":[173],"achieves":[174],"state-of-the-art":[175],"compared":[177],"other":[179],"networks.":[180],"Our":[181],"code":[182],"available":[186],"at:":[187],"https://github.com/lab-sun/AMFNet.":[188]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}