{"id":"https://openalex.org/W4412446693","doi":"https://doi.org/10.1109/dsp65409.2025.11075142","title":"PDPMamba: Potential Panoptic Driving Perception via Multi-Task Visual Mamba","display_name":"PDPMamba: Potential Panoptic Driving Perception via Multi-Task Visual Mamba","publication_year":2025,"publication_date":"2025-06-25","ids":{"openalex":"https://openalex.org/W4412446693","doi":"https://doi.org/10.1109/dsp65409.2025.11075142"},"language":"en","primary_location":{"id":"doi:10.1109/dsp65409.2025.11075142","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsp65409.2025.11075142","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 25th International Conference on Digital Signal Processing (DSP)","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/A5101993204","display_name":"Zhenpeng Li","orcid":"https://orcid.org/0000-0001-7908-358X"},"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":"Zhenpeng Li","raw_affiliation_strings":["Academy for Engineering and Technology, Fudan University,Shanghai,China,200433"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Academy for Engineering and Technology, Fudan University,Shanghai,China,200433","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091066939","display_name":"Bian Jingwei","orcid":null},"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":"Jingwei Bian","raw_affiliation_strings":["FAW Jiefang Automotive Co.,Shanghai,China,200082"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"FAW Jiefang Automotive Co.,Shanghai,China,200082","institution_ids":["https://openalex.org/I4210127843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045362859","display_name":"Mingyang Sun","orcid":"https://orcid.org/0000-0003-2728-5117"},"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":"Mingyang Sun","raw_affiliation_strings":["Academy for Engineering and Technology, Fudan University,Shanghai,China,200433"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Academy for Engineering and Technology, Fudan University,Shanghai,China,200433","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111026715","display_name":"Xiao Zhao","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":"Xiao Zhao","raw_affiliation_strings":["Academy for Engineering and Technology, Fudan University,Shanghai,China,200433"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Academy for Engineering and Technology, Fudan University,Shanghai,China,200433","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100318082","display_name":"Wei Li","orcid":"https://orcid.org/0000-0001-9931-5990"},"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":"Wei Li","raw_affiliation_strings":["Academy for Engineering and Technology, Fudan University,Shanghai,China,200433"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Academy for Engineering and Technology, Fudan University,Shanghai,China,200433","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100414899","display_name":"Lihua Zhang","orcid":"https://orcid.org/0000-0002-3869-4795"},"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":"Lihua Zhang","raw_affiliation_strings":["Academy for Engineering and Technology, Fudan University,Shanghai,China,200433"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Academy for Engineering and Technology, Fudan University,Shanghai,China,200433","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4158,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.80919401,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9980999827384949,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9980999827384949,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.993399977684021,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9872999787330627,"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/panopticon","display_name":"Panopticon","score":0.6647985577583313},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.643798291683197},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6317997574806213},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.6158534288406372},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3481939435005188},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1894153654575348},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11563840508460999}],"concepts":[{"id":"https://openalex.org/C138569888","wikidata":"https://www.wikidata.org/wiki/Q828310","display_name":"Panopticon","level":3,"score":0.6647985577583313},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.643798291683197},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6317997574806213},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.6158534288406372},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3481939435005188},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1894153654575348},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11563840508460999},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dsp65409.2025.11075142","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsp65409.2025.11075142","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 25th International Conference on Digital Signal Processing (DSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/5","display_name":"Gender equality","score":0.6100000143051147}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W2562137921","https://openalex.org/W2565639579","https://openalex.org/W2741634092","https://openalex.org/W2912551914","https://openalex.org/W2963857746","https://openalex.org/W2981441441","https://openalex.org/W2998152504","https://openalex.org/W3015788359","https://openalex.org/W3035564946","https://openalex.org/W3095157576","https://openalex.org/W3133882559","https://openalex.org/W4210598935","https://openalex.org/W4220900860","https://openalex.org/W4225274086","https://openalex.org/W4308450151","https://openalex.org/W4385245566","https://openalex.org/W4385486148","https://openalex.org/W4386799843","https://openalex.org/W4387757595","https://openalex.org/W4388894382","https://openalex.org/W4389252379","https://openalex.org/W4391614403","https://openalex.org/W4395069610","https://openalex.org/W4398249074","https://openalex.org/W4399154429","https://openalex.org/W4400519485","https://openalex.org/W4400809904","https://openalex.org/W4400810737","https://openalex.org/W4401537542","https://openalex.org/W4403067091","https://openalex.org/W4403152483","https://openalex.org/W4409347878","https://openalex.org/W6811001617","https://openalex.org/W6842665338","https://openalex.org/W6859298233","https://openalex.org/W6861342692","https://openalex.org/W6868834999"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2921107741","https://openalex.org/W2197002326","https://openalex.org/W2494728058","https://openalex.org/W3204968380","https://openalex.org/W2598946408","https://openalex.org/W3196817267","https://openalex.org/W1976600725"],"abstract_inverted_index":{"Panoptic":[0,71],"driving":[1,87,192],"perception":[2,193],"is":[3,15,76,103,119,135,158],"a":[4,65,91,200,206],"crucial":[5],"component":[6],"of":[7,34,41,108,148,169,183,265],"the":[8,30,42,77,106,109,130,142,153,164,174,181,221,225,236],"online":[9],"evolutive":[10],"learning":[11],"system.":[12],"Existing":[13],"research":[14],"nearly":[16],"based":[17,238],"on":[18,211,224,239,268],"convolutional":[19],"neural":[20],"networks":[21,26,210],"and":[22,37,195,231,243,252],"Transformer":[23],"networks.":[24],"These":[25],"are":[27],"constrained":[28],"by":[29,97],"limited":[31],"receptive":[32],"fields":[33],"convolution":[35],"computational":[36,39,59],"quadratic":[38],"complexity":[40],"transformer,":[43],"which":[44,124,140,162],"hinders":[45],"further":[46],"performance":[47],"improvement.":[48],"The":[49,116,132,155],"recently":[50],"proposed":[51],"Mamba":[52,68,84,102,184,267],"exhibits":[53],"long-distance":[54],"modeling":[55],"while":[56,218],"maintaining":[57],"linear":[58],"complexity.":[60],"This":[61,75],"paper":[62],"proposes":[63],"PDPMamba,":[64],"multi-task":[66],"visual":[67,83,101,266],"network":[69],"for":[70,120,136,159,190,215,227],"Driving":[72],"Perception":[73],"(PDP).":[74],"first":[78,117],"pioneering":[79],"work":[80],"to":[81,111,185,208],"employ":[82],"in":[85,235],"panoptic":[86,191],"perception.":[88],"PDPMamba":[89,204],"employs":[90],"framework":[92],"with":[93],"an":[94],"encoder":[95,110],"shared":[96],"three":[98],"decoders.":[99],"Multi-scale":[100],"adopted":[104],"as":[105],"core":[107],"extract":[112,186],"multi-scale":[113,126,149,170,187],"feature":[114,127,145,150,166,171,188],"information.":[115],"decoder":[118,134,157],"traffic":[121,228],"object":[122,229],"detection,":[123,161,217],"fuses":[125],"information":[128,147,168],"from":[129,152,173],"encoder.":[131,154,175],"second":[133],"drivable":[137,232],"area":[138,233],"segmentation,":[139],"receives":[141,163],"biggest":[143],"scale":[144],"map":[146,167],"maps":[151,172,189],"last":[156],"lane":[160,216],"medium-scale":[165],"In":[176],"this":[177],"paper,":[178],"we":[179],"harness":[180],"capabilities":[182],"tasks":[194],"achieve":[196],"commendable":[197],"performance.":[198],"As":[199],"preliminary":[201],"exploratory":[202],"work,":[203],"achieves":[205],"superior":[207],"other":[209],"pixel":[212],"accuracy":[213],"metrics":[214,226],"also":[219],"achieving":[220],"top":[222],"two":[223],"detection":[230],"segmentation":[234],"experiments":[237],"both":[240],"BDD1OOK":[241],"dataset":[242],"real":[244],"road":[245,256],"scene.":[246],"Results":[247],"exhibit":[248],"PDPMamba's":[249],"great":[250],"robustness":[251],"generalization":[253],"under":[254],"diverse":[255],"conditions.":[257],"Our":[258],"successful":[259],"attempt":[260],"will":[261],"advance":[262],"more":[263],"applications":[264],"autonomous":[269],"driving.":[270]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
