{"id":"https://openalex.org/W7154448288","doi":"https://doi.org/10.1109/upinlbs68186.2025.11468407","title":"M-SEVIQ: A Multi-Band Stereo Event Visual-Inertial Quadruped-Based Dataset for Perception under Rapid Motion and Challenging Illumination","display_name":"M-SEVIQ: A Multi-Band Stereo Event Visual-Inertial Quadruped-Based Dataset for Perception under Rapid Motion and Challenging Illumination","publication_year":2025,"publication_date":"2025-12-17","ids":{"openalex":"https://openalex.org/W7154448288","doi":"https://doi.org/10.1109/upinlbs68186.2025.11468407"},"language":null,"primary_location":{"id":"doi:10.1109/upinlbs68186.2025.11468407","is_oa":false,"landing_page_url":"https://doi.org/10.1109/upinlbs68186.2025.11468407","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Ubiquitous Positioning, Indoor Navigation and Location-Based Services Conference (UPINLBS)","raw_type":"proceedings-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/A5101238100","display_name":"Jingcheng Cao","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jingcheng Cao","raw_affiliation_strings":["Shanghai Jiao Tong University,Shanghai Key Laboratory of Navigation and Location Based Services"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,Shanghai Key Laboratory of Navigation and Location Based Services","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133653986","display_name":"Chaoran Xiong","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaoran Xiong","raw_affiliation_strings":["Shanghai Jiao Tong University,Shanghai Key Laboratory of Navigation and Location Based Services"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,Shanghai Key Laboratory of Navigation and Location Based Services","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133684418","display_name":"Jianmin Song","orcid":null},"institutions":[{"id":"https://openalex.org/I4210147322","display_name":"Shanghai Institute of Microsystem and Information Technology","ror":"https://ror.org/04nytyj38","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210147322"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianmin Song","raw_affiliation_strings":["Beijing Aerospace Microsystem and Information Technology Research Institute"],"affiliations":[{"raw_affiliation_string":"Beijing Aerospace Microsystem and Information Technology Research Institute","institution_ids":["https://openalex.org/I4210147322"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133649179","display_name":"Shang Yan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210147322","display_name":"Shanghai Institute of Microsystem and Information Technology","ror":"https://ror.org/04nytyj38","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210147322"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shang Yan","raw_affiliation_strings":["Beijing Aerospace Microsystem and Information Technology Research Institute"],"affiliations":[{"raw_affiliation_string":"Beijing Aerospace Microsystem and Information Technology Research Institute","institution_ids":["https://openalex.org/I4210147322"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133658551","display_name":"Jiachen Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210147322","display_name":"Shanghai Institute of Microsystem and Information Technology","ror":"https://ror.org/04nytyj38","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210147322"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiachen Liu","raw_affiliation_strings":["Beijing Aerospace Microsystem and Information Technology Research Institute"],"affiliations":[{"raw_affiliation_string":"Beijing Aerospace Microsystem and Information Technology Research Institute","institution_ids":["https://openalex.org/I4210147322"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5133647631","display_name":"Ling Pei","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ling Pei","raw_affiliation_strings":["Shanghai Jiao Tong University,Shanghai Key Laboratory of Navigation and Location Based Services"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,Shanghai Key Laboratory of Navigation and Location Based Services","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101238100"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.74296616,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"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/T10531","display_name":"Advanced Vision and Imaging","score":0.4812000095844269,"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":0.4812000095844269,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.2273000031709671,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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":0.02410000003874302,"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/event","display_name":"Event (particle physics)","score":0.5516999959945679},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.48570001125335693},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.4758000075817108},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.35280001163482666},{"id":"https://openalex.org/keywords/stereopsis","display_name":"Stereopsis","score":0.3452000021934509}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7373999953269958},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6962000131607056},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5985999703407288},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5516999959945679},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.48570001125335693},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4758000075817108},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.35280001163482666},{"id":"https://openalex.org/C68537008","wikidata":"https://www.wikidata.org/wiki/Q247932","display_name":"Stereopsis","level":2,"score":0.3452000021934509},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2524999976158142},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.25110000371932983}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/upinlbs68186.2025.11468407","is_oa":false,"landing_page_url":"https://doi.org/10.1109/upinlbs68186.2025.11468407","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Ubiquitous Positioning, Indoor Navigation and Location-Based Services Conference (UPINLBS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.4905967712402344}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Agile":[0],"locomotion":[1],"in":[2,16,33,68,162,173],"legged":[3],"robots":[4],"poses":[5],"significant":[6],"challenges":[7],"for":[8,19,51],"visual":[9,90],"perception.":[10],"Traditional":[11],"frame-based":[12,106],"cameras":[13,30],"often":[14],"fail":[15],"these":[17],"scenarios":[18],"producing":[20],"blurred":[21],"images,":[22],"particularly":[23],"under":[24,58,75],"low-light":[25],"conditions.":[26,78,133],"In":[27,134],"contrast,":[28],"event":[29,63,89,103],"capture":[31],"changes":[32],"brightness":[34],"asynchronously,":[35],"offering":[36],"low":[37],"latency,":[38],"high":[39,43],"temporal":[40,143],"resolution,":[41],"and":[42,57,71,91,113,131,142,152,170],"dynamic":[44],"range.":[45],"These":[46],"advantages":[47],"make":[48],"them":[49],"suitable":[50],"robust":[52],"perception":[53],"during":[54],"rapid":[55],"motion":[56],"challenging":[59,174],"illumination.":[60],"However,":[61],"existing":[62],"camera":[64],"datasets":[65],"exhibit":[66],"limitations":[67],"stereo":[69,88,102],"configurations":[70],"multi-band":[72],"sensing":[73],"domains":[74],"various":[76],"illumination":[77,129],"To":[79],"address":[80],"this":[81],"gap,":[82],"we":[83],"present":[84],"M-SEVIQ,":[85],"a":[86,97,105],"multiband":[87],"inertial":[92,109],"quadruped":[93],"dataset":[94,117],"collected":[95],"using":[96],"Unitree":[98],"Go2":[99],"equipped":[100],"with":[101],"cameras,":[104],"camera,":[107],"an":[108],"measurement":[110],"unit":[111],"(IMU),":[112],"joint":[114],"encoders.":[115],"This":[116],"contains":[118],"more":[119],"than":[120],"30":[121],"real-world":[122],"sequences":[123],"captured":[124],"across":[125],"different":[126],"velocity":[127],"levels,":[128],"wavelengths,":[130],"lighting":[132],"addition,":[135],"comprehensive":[136],"calibration":[137],"data,":[138],"including":[139],"intrinsic,":[140],"extrinsic,":[141],"alignments,":[144],"are":[145],"provided":[146],"to":[147,159],"facilitate":[148],"accurate":[149],"sensor":[150,166],"fusion":[151],"benchmarking.":[153],"Our":[154],"M-SEVIQ":[155],"can":[156],"be":[157],"used":[158],"support":[160],"research":[161],"agile":[163],"robot":[164],"perception,":[165],"fusion,":[167],"semantic":[168],"segmentation":[169],"multi-modal":[171],"vision":[172],"environments.":[175]},"counts_by_year":[],"updated_date":"2026-04-17T05:58:53.018234","created_date":"2026-04-16T00:00:00"}