{"id":"https://openalex.org/W4414847780","doi":"https://doi.org/10.3390/sym17101654","title":"Graph-MambaRoadDet: A Symmetry-Aware Dynamic Graph Framework for Road Damage Detection","display_name":"Graph-MambaRoadDet: A Symmetry-Aware Dynamic Graph Framework for Road Damage Detection","publication_year":2025,"publication_date":"2025-10-05","ids":{"openalex":"https://openalex.org/W4414847780","doi":"https://doi.org/10.3390/sym17101654"},"language":"en","primary_location":{"id":"doi:10.3390/sym17101654","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym17101654","pdf_url":"https://www.mdpi.com/2073-8994/17/10/1654/pdf?version=1759635109","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2073-8994/17/10/1654/pdf?version=1759635109","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Zichun Tian","orcid":null},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zichun Tian","raw_affiliation_strings":["School of Computer Science and Technology, Beijing Jiaotong University, No. 3 Shangyuan Village, Xizhimenwai, Haidian District, Beijing 100044, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Jiaotong University, No. 3 Shangyuan Village, Xizhimenwai, Haidian District, Beijing 100044, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xiaokang Shao","orcid":null},"institutions":[{"id":"https://openalex.org/I3018263800","display_name":"Huzhou University","ror":"https://ror.org/04mvpxy20","country_code":"CN","type":"education","lineage":["https://openalex.org/I3018263800"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaokang Shao","raw_affiliation_strings":["College of Computer and Information Technology, Cangzhou University of Transportation, Xueyuan West Road, Huanghua 061199, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Information Technology, Cangzhou University of Transportation, Xueyuan West Road, Huanghua 061199, China","institution_ids":["https://openalex.org/I3018263800"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034161454","display_name":"Yuqi Bai","orcid":"https://orcid.org/0000-0003-0908-6499"},"institutions":[{"id":"https://openalex.org/I28407311","display_name":"University of Manchester","ror":"https://ror.org/027m9bs27","country_code":"GB","type":"education","lineage":["https://openalex.org/I28407311"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yuqi Bai","raw_affiliation_strings":["School of Environment, Education and Development, The University of Manchester, Manchester M13 9PL, UK"],"raw_orcid":"https://orcid.org/0000-0003-0908-6499","affiliations":[{"raw_affiliation_string":"School of Environment, Education and Development, The University of Manchester, Manchester M13 9PL, UK","institution_ids":["https://openalex.org/I28407311"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2227},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2227},"fwci":0.9623,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.74718804,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"17","issue":"10","first_page":"1654","last_page":"1654"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9998999834060669,"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/T10264","display_name":"Asphalt Pavement Performance Evaluation","score":0.9900000095367432,"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/T11850","display_name":"Concrete Corrosion and Durability","score":0.9580000042915344,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5504999756813049},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.4893999993801117},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.48100000619888306},{"id":"https://openalex.org/keywords/adjacency-list","display_name":"Adjacency list","score":0.39820000529289246},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.3853999972343445},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.36910000443458557}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6690999865531921},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5504999756813049},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.4893999993801117},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.48100000619888306},{"id":"https://openalex.org/C110484373","wikidata":"https://www.wikidata.org/wiki/Q264398","display_name":"Adjacency list","level":2,"score":0.39820000529289246},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.3853999972343445},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.36910000443458557},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3662000000476837},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3637999892234802},{"id":"https://openalex.org/C180356752","wikidata":"https://www.wikidata.org/wiki/Q727035","display_name":"Adjacency matrix","level":3,"score":0.3582000136375427},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35420000553131104},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3456000089645386},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.3375999927520752},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.32580000162124634},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.32170000672340393},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.3203999996185303},{"id":"https://openalex.org/C2988416141","wikidata":"https://www.wikidata.org/wiki/Q6031139","display_name":"Information loss","level":2,"score":0.26460000872612},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.25949999690055847}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3390/sym17101654","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym17101654","pdf_url":"https://www.mdpi.com/2073-8994/17/10/1654/pdf?version=1759635109","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.3390/sym17101654","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym17101654","pdf_url":"https://www.mdpi.com/2073-8994/17/10/1654/pdf?version=1759635109","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320323066","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4414847780.pdf","grobid_xml":"https://content.openalex.org/works/W4414847780.grobid-xml"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W2069182664","https://openalex.org/W2407692387","https://openalex.org/W2887092226","https://openalex.org/W2899242765","https://openalex.org/W2903952299","https://openalex.org/W2962970995","https://openalex.org/W2963324806","https://openalex.org/W3034971973","https://openalex.org/W3042900698","https://openalex.org/W3105138772","https://openalex.org/W3130532208","https://openalex.org/W3132097456","https://openalex.org/W3132768620","https://openalex.org/W3161660388","https://openalex.org/W3170407091","https://openalex.org/W3177402291","https://openalex.org/W3201890785","https://openalex.org/W3213947586","https://openalex.org/W4200583655","https://openalex.org/W4210629389","https://openalex.org/W4220853180","https://openalex.org/W4301373693","https://openalex.org/W4306733841","https://openalex.org/W4306873679","https://openalex.org/W4311715437","https://openalex.org/W4312702896","https://openalex.org/W4367595602","https://openalex.org/W4385296393","https://openalex.org/W4386134885","https://openalex.org/W4388672487","https://openalex.org/W4388968307","https://openalex.org/W4389077462","https://openalex.org/W4389101831","https://openalex.org/W4390874575","https://openalex.org/W4391295459","https://openalex.org/W4392077672","https://openalex.org/W4401072727","https://openalex.org/W4402049907","https://openalex.org/W4402360624","https://openalex.org/W4403842425","https://openalex.org/W4404624677","https://openalex.org/W4408352042","https://openalex.org/W4412040101","https://openalex.org/W4413144827","https://openalex.org/W4413144971","https://openalex.org/W4413146088"],"related_works":[],"abstract_inverted_index":{"Road-surface":[0],"distress":[1],"poses":[2],"a":[3,11,52,118,134,175,232],"serious":[4],"threat":[5],"to":[6,197],"traffic":[7],"safety":[8],"and":[9,25,45,54,68,79,112,165,181,189,209,221,227,242],"imposes":[10],"growing":[12],"burden":[13],"on":[14,22,174,201],"urban":[15],"maintenance":[16],"budgets.":[17],"While":[18],"modern":[19],"detectors":[20],"based":[21],"convolutional":[23],"networks":[24,44],"Vision":[26],"Transformers":[27],"achieve":[28],"strong":[29,193],"frame-level":[30],"performance,":[31],"they":[32],"often":[33],"overlook":[34],"an":[35,76],"essential":[36],"property":[37],"of":[38],"road":[39,43,70,106,237],"environments\u2014structural":[40],"symmetry":[41,143],"within":[42],"damage":[46,71],"patterns.":[47],"We":[48,116],"present":[49],"Graph-MambaRoadDet":[50],"(GMRD),":[51],"symmetry-aware":[53],"lightweight":[55],"framework":[56],"that":[57,123,137],"integrates":[58],"dynamic":[59],"graph":[60,97],"reasoning":[61],"with":[62,141],"state\u2013space":[63],"modeling":[64,225],"for":[65,235],"accurate,":[66],"topology-informed,":[67],"real-time":[69,241],"detection.":[72],"Specifically,":[73],"GMRD":[74,191,230],"employs":[75],"EfficientViM-T1":[77],"backbone":[78],"two":[80],"DefMamba":[81],"blocks,":[82],"whose":[83],"deformable":[84],"scanning":[85],"paths":[86],"capture":[87],"sub-pixel":[88],"crack":[89],"patterns":[90],"while":[91],"preserving":[92],"geometric":[93],"symmetry.":[94],"A":[95,145],"superpixel-based":[96],"is":[98],"constructed":[99],"by":[100,133,195],"projecting":[101],"image":[102],"regions":[103],"onto":[104],"OpenStreetMap":[105],"segments,":[107],"encoding":[108],"both":[109],"spatial":[110,226],"structure":[111],"symmetric":[113,152],"topological":[114,228],"layout.":[115],"introduce":[117],"Graph-Generating":[119],"State\u2013Space":[120],"Model":[121],"(GG-SSM)":[122],"synthesizes":[124],"sparse":[125],"sample-specific":[126],"adjacency":[127],"in":[128],"O(M)":[129],"time,":[130],"further":[131],"refined":[132],"fusion":[135],"module":[136],"combines":[138],"detector":[139],"self-attention":[140],"prior":[142],"constraints.":[144,244],"consistency":[146,211],"loss":[147],"promotes":[148],"smooth":[149],"predictions":[150],"across":[151],"or":[153],"adjacent":[154],"segments.":[155],"The":[156],"full":[157],"INT8":[158],"model":[159],"contains":[160],"only":[161],"1.8":[162],"M":[163],"parameters":[164],"1.5":[166],"GFLOPs,":[167],"sustaining":[168],"45":[169],"FPS":[170],"at":[171],"7":[172],"W":[173],"Jetson":[176],"Orin":[177],"Nano\u2014eight":[178],"times":[179],"lighter":[180],"1.7\u00d7":[182],"faster":[183],"than":[184],"YOLOv8-s.":[185],"On":[186],"RDD2022,":[187],"TD-RD,":[188],"RoadBench-100K,":[190],"surpasses":[192],"baselines":[194],"up":[196],"+6.1":[198],"mAP50:95":[199],"and,":[200],"the":[202],"new":[203],"RoadGraph-RDD":[204],"benchmark,":[205],"achieves":[206],"+5.3":[207],"G-mAP":[208],"+0.05":[210],"gain.":[212],"Qualitative":[213],"results":[214],"demonstrate":[215],"robustness":[216],"under":[217,240],"shadows,":[218],"reflections,":[219],"back-lighting,":[220],"occlusion.":[222],"By":[223],"explicitly":[224],"symmetry,":[229],"offers":[231],"principled":[233],"solution":[234],"city-scale":[236],"infrastructure":[238],"monitoring":[239],"edge-computing":[243]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}