{"id":"https://openalex.org/W4396753573","doi":"https://doi.org/10.1109/tiv.2024.3398210","title":"Holistic and Contextual Evidential Stereo-LiDAR Fusion for Depth Estimation","display_name":"Holistic and Contextual Evidential Stereo-LiDAR Fusion for Depth Estimation","publication_year":2024,"publication_date":"2024-05-08","ids":{"openalex":"https://openalex.org/W4396753573","doi":"https://doi.org/10.1109/tiv.2024.3398210"},"language":"en","primary_location":{"id":"doi:10.1109/tiv.2024.3398210","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tiv.2024.3398210","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/A5102013595","display_name":"Jiayuan Fan","orcid":"https://orcid.org/0000-0001-7494-0255"},"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":"Jiayuan Fan","raw_affiliation_strings":["Academy for Engineering and Technology, Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Academy for Engineering and Technology, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064792137","display_name":"H P Chen","orcid":"https://orcid.org/0009-0005-5249-3868"},"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":"Haixiang Chen","raw_affiliation_strings":["Academy for Engineering and Technology, Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Academy for Engineering and Technology, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033446854","display_name":"Weide Liu","orcid":"https://orcid.org/0000-0002-9855-4479"},"institutions":[{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]},{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Weide Liu","raw_affiliation_strings":["Institute for Infocomm Research (I<sup>2</sup>R), Agency for Science, Technology and Research (A*STAR), Singapore","Institute for Infocomm Research (I2R), Agency for Science, Technology and Research (A*STAR), Singapore"],"affiliations":[{"raw_affiliation_string":"Institute for Infocomm Research (I<sup>2</sup>R), Agency for Science, Technology and Research (A*STAR), Singapore","institution_ids":["https://openalex.org/I3005327000","https://openalex.org/I115228651"]},{"raw_affiliation_string":"Institute for Infocomm Research (I2R), Agency for Science, Technology and Research (A*STAR), Singapore","institution_ids":["https://openalex.org/I3005327000","https://openalex.org/I115228651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100451925","display_name":"Xun Xu","orcid":"https://orcid.org/0000-0002-5220-2240"},"institutions":[{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]},{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Xun Xu","raw_affiliation_strings":["Institute for Infocomm Research (I<sup>2</sup>R), Agency for Science, Technology and Research (A*STAR), Singapore","Institute for Infocomm Research (I2R), Agency for Science, Technology and Research (A*STAR), Singapore"],"affiliations":[{"raw_affiliation_string":"Institute for Infocomm Research (I<sup>2</sup>R), Agency for Science, Technology and Research (A*STAR), Singapore","institution_ids":["https://openalex.org/I3005327000","https://openalex.org/I115228651"]},{"raw_affiliation_string":"Institute for Infocomm Research (I2R), Agency for Science, Technology and Research (A*STAR), Singapore","institution_ids":["https://openalex.org/I3005327000","https://openalex.org/I115228651"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044959745","display_name":"Jun Cheng","orcid":"https://orcid.org/0000-0003-1786-6188"},"institutions":[{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]},{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Jun Cheng","raw_affiliation_strings":["Institute for Infocomm Research (I<sup>2</sup>R), Agency for Science, Technology and Research (A*STAR), Singapore","Institute for Infocomm Research (I2R), Agency for Science, Technology and Research (A*STAR), Singapore"],"affiliations":[{"raw_affiliation_string":"Institute for Infocomm Research (I<sup>2</sup>R), Agency for Science, Technology and Research (A*STAR), Singapore","institution_ids":["https://openalex.org/I3005327000","https://openalex.org/I115228651"]},{"raw_affiliation_string":"Institute for Infocomm Research (I2R), Agency for Science, Technology and Research (A*STAR), Singapore","institution_ids":["https://openalex.org/I3005327000","https://openalex.org/I115228651"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5102013595"],"corresponding_institution_ids":["https://openalex.org/I24943067"],"apc_list":null,"apc_paid":null,"fwci":0.7895,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.70988515,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"9","issue":"11","first_page":"7437","last_page":"7448"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":1.0,"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/T10531","display_name":"Advanced Vision and Imaging","score":1.0,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9983000159263611,"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/lidar","display_name":"Lidar","score":0.8588145971298218},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6828505396842957},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6772236824035645},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5857323408126831},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5831296443939209},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.5538672804832458},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5235785245895386},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5022680759429932},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.49497145414352417},{"id":"https://openalex.org/keywords/depth-map","display_name":"Depth map","score":0.45778241753578186},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4013426899909973},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.2964911460876465},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21094262599945068},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.18415361642837524},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1485975980758667},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08952784538269043}],"concepts":[{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.8588145971298218},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6828505396842957},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6772236824035645},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5857323408126831},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5831296443939209},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.5538672804832458},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5235785245895386},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5022680759429932},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.49497145414352417},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.45778241753578186},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4013426899909973},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.2964911460876465},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21094262599945068},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.18415361642837524},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1485975980758667},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08952784538269043},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tiv.2024.3398210","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tiv.2024.3398210","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":[{"id":"https://openalex.org/G5491202952","display_name":null,"funder_award_id":"23ZR1402900","funder_id":"https://openalex.org/F4320309612","funder_display_name":"Natural Science Foundation of Shanghai"},{"id":"https://openalex.org/G7626924423","display_name":null,"funder_award_id":"62101137","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320309612","display_name":"Natural Science Foundation of Shanghai","ror":null},{"id":"https://openalex.org/F4320320696","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":70,"referenced_works":["https://openalex.org/W2397830550","https://openalex.org/W2567028727","https://openalex.org/W2604231069","https://openalex.org/W2738807231","https://openalex.org/W2768567874","https://openalex.org/W2794739174","https://openalex.org/W2885093229","https://openalex.org/W2892161145","https://openalex.org/W2914232966","https://openalex.org/W2961926014","https://openalex.org/W2963045776","https://openalex.org/W2963316559","https://openalex.org/W2963316641","https://openalex.org/W2963591054","https://openalex.org/W2963617879","https://openalex.org/W2963619659","https://openalex.org/W2963867516","https://openalex.org/W2964326562","https://openalex.org/W2966927056","https://openalex.org/W2981715392","https://openalex.org/W2985951359","https://openalex.org/W3003928900","https://openalex.org/W3026703114","https://openalex.org/W3034514115","https://openalex.org/W3034564916","https://openalex.org/W3034945175","https://openalex.org/W3080631149","https://openalex.org/W3089999934","https://openalex.org/W3096678291","https://openalex.org/W3108601100","https://openalex.org/W3109128945","https://openalex.org/W3110653837","https://openalex.org/W3120143319","https://openalex.org/W3132356349","https://openalex.org/W3134909081","https://openalex.org/W3145086533","https://openalex.org/W3165495321","https://openalex.org/W3172573759","https://openalex.org/W3178334627","https://openalex.org/W3202459460","https://openalex.org/W3206335707","https://openalex.org/W3206449735","https://openalex.org/W4200291178","https://openalex.org/W4200357302","https://openalex.org/W4214862245","https://openalex.org/W4224926219","https://openalex.org/W4225692545","https://openalex.org/W4285187202","https://openalex.org/W4285272860","https://openalex.org/W4285613423","https://openalex.org/W4292787292","https://openalex.org/W4312628922","https://openalex.org/W4312793957","https://openalex.org/W4312837926","https://openalex.org/W4312951879","https://openalex.org/W4318189300","https://openalex.org/W4323767269","https://openalex.org/W4382465644","https://openalex.org/W4383097691","https://openalex.org/W4386071550","https://openalex.org/W4386076096","https://openalex.org/W4386076666","https://openalex.org/W4387448536","https://openalex.org/W4390874788","https://openalex.org/W6730042731","https://openalex.org/W6763265080","https://openalex.org/W6768698167","https://openalex.org/W6773019456","https://openalex.org/W6784085021","https://openalex.org/W6803759081"],"related_works":["https://openalex.org/W4319317934","https://openalex.org/W4406302447","https://openalex.org/W2901265155","https://openalex.org/W2956374172","https://openalex.org/W4319837668","https://openalex.org/W4308071650","https://openalex.org/W3188333020","https://openalex.org/W4281783339","https://openalex.org/W4293094720","https://openalex.org/W2739701376"],"abstract_inverted_index":{"Stereo-LiDAR":[0],"fusion":[1,23,55],"is":[2,114],"often":[3],"used":[4],"for":[5,58,102],"autonomous":[6],"systems":[7],"such":[8],"as":[9,12],"self-driving":[10],"cars":[11],"the":[13,35,38,130,142],"two":[14,104,134],"modalities":[15],"are":[16,25],"complementary":[17],"to":[18,117,140],"each":[19,42],"other.":[20],"Existing":[21],"stereo-LiDAR":[22,54],"methods":[24],"mostly":[26],"at":[27,121],"feature":[28,111],"level":[29],"or":[30],"outcome":[31],"level,":[32],"without":[33],"considering":[34],"uncertainty":[36,99],"of":[37,85,158],"depth":[39,59,75,93,109,150],"estimation":[40,100],"in":[41],"modality.":[43],"To":[44],"this":[45],"end,":[46],"we":[47],"propose":[48],"a":[49,79,86,91,107],"holistic":[50],"and":[51,65,71,90,125,152,160,162,172],"contextual":[52],"evidential":[53,138],"network":[56,81],"(HCENet)":[57],"estimation,":[60],"which":[61],"considers":[62],"both":[63,103],"intra-modality":[64],"inter-modality":[66],"uncertainties":[67,139],"from":[68,133],"stereo":[69,87],"matching":[70,88],"LiDAR":[72,92],"point":[73],"cloud":[74],"completion.":[76],"We":[77],"design":[78],"dual":[80],"structure":[82],"that":[83,164],"consists":[84],"branch":[89,95],"completion":[94,151],"with":[96],"new":[97],"introduced":[98],"modules":[101],"branches.":[105],"Specifically,":[106],"multi-scale":[108],"guided":[110],"aggregation":[112],"module":[113],"first":[115],"developed":[116],"enable":[118],"information":[119],"propagation":[120],"early":[122],"input":[123],"stage,":[124],"then":[126],"followed":[127],"by":[128,170],"fusing":[129],"predicted":[131],"depths":[132],"branches":[135],"based":[136],"on":[137,148],"generate":[141],"final":[143],"output.":[144],"Extensive":[145],"experimental":[146],"results":[147],"KITTI":[149],"Virtual":[153],"KITTI2":[154],"datasets":[155],"achieve":[156],"RMSE":[157],"599.3":[159],"2253.1,":[161],"show":[163],"our":[165],"method":[166],"outperforms":[167],"state-of-the-art":[168],"SLFNet":[169],"6.52%":[171],"20.7%,":[173],"respectively.":[174]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
