{"id":"https://openalex.org/W4400644502","doi":"https://doi.org/10.1109/iv55156.2024.10588619","title":"Accurate 6-DoF Motion Estimation for Irregular Moving Objects with Point Correlations","display_name":"Accurate 6-DoF Motion Estimation for Irregular Moving Objects with Point Correlations","publication_year":2024,"publication_date":"2024-06-02","ids":{"openalex":"https://openalex.org/W4400644502","doi":"https://doi.org/10.1109/iv55156.2024.10588619"},"language":"en","primary_location":{"id":"doi:10.1109/iv55156.2024.10588619","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iv55156.2024.10588619","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Intelligent Vehicles Symposium (IV)","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/A5101985862","display_name":"Hao Cao","orcid":"https://orcid.org/0000-0003-2892-6588"},"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":true,"raw_author_name":"Hao Cao","raw_affiliation_strings":["the Hong Kong Polytechnic University,Department of Aeronautical and Aviation Engineering,Hong Kong,China"],"affiliations":[{"raw_affiliation_string":"the Hong Kong Polytechnic University,Department of Aeronautical and Aviation Engineering,Hong Kong,China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080375435","display_name":"Guanzhong Zhou","orcid":"https://orcid.org/0009-0009-4886-678X"},"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":"Guanzhong Zhou","raw_affiliation_strings":["the Hong Kong Polytechnic University,Department of Aeronautical and Aviation Engineering,Hong Kong,China"],"affiliations":[{"raw_affiliation_string":"the Hong Kong Polytechnic University,Department of Aeronautical and Aviation Engineering,Hong Kong,China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037131765","display_name":"Hailong Huang","orcid":"https://orcid.org/0000-0003-2667-6423"},"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":"Hailong Huang","raw_affiliation_strings":["the Hong Kong Polytechnic University,Department of Aeronautical and Aviation Engineering,Hong Kong,China"],"affiliations":[{"raw_affiliation_string":"the Hong Kong Polytechnic University,Department of Aeronautical and Aviation Engineering,Hong Kong,China","institution_ids":["https://openalex.org/I14243506"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101985862"],"corresponding_institution_ids":["https://openalex.org/I14243506"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09468712,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"430","last_page":"435"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9976000189781189,"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":0.9976000189781189,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9861000180244446,"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9797000288963318,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.6325969696044922},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6149939298629761},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6075274348258972},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5912941694259644},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5239848494529724},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5220617651939392},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14912492036819458},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.08782720565795898}],"concepts":[{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.6325969696044922},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6149939298629761},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6075274348258972},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5912941694259644},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5239848494529724},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5220617651939392},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14912492036819458},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.08782720565795898}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iv55156.2024.10588619","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iv55156.2024.10588619","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W2076917298","https://openalex.org/W2745859992","https://openalex.org/W2913685494","https://openalex.org/W2944462671","https://openalex.org/W2945487881","https://openalex.org/W2989915422","https://openalex.org/W3034848995","https://openalex.org/W3044149300","https://openalex.org/W3088596192","https://openalex.org/W3090298435","https://openalex.org/W3096721675","https://openalex.org/W3100307998","https://openalex.org/W3123514128","https://openalex.org/W3127229203","https://openalex.org/W3132012367","https://openalex.org/W3160534675","https://openalex.org/W3161233433","https://openalex.org/W3172560577","https://openalex.org/W4303457474","https://openalex.org/W4312550876","https://openalex.org/W4312604533","https://openalex.org/W4324290686","https://openalex.org/W4380905902","https://openalex.org/W4386869837","https://openalex.org/W4387010217","https://openalex.org/W4387886048","https://openalex.org/W4387918055","https://openalex.org/W4388266733","https://openalex.org/W4388820033","https://openalex.org/W4390224226","https://openalex.org/W4390738588"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"In":[0],"the":[1,18,26,44,57,60,68,98,102,105,122],"field":[2],"of":[3,22,59,80,101,124],"Simultaneous":[4],"Localization":[5],"and":[6,20,46,73],"Map":[7],"Building":[8],"(SLAM),":[9],"robots":[10],"have":[11],"become":[12],"highly":[13],"proficient":[14],"in":[15,25,43,131,142],"self-localization.":[16],"However,":[17],"localization":[19],"tracking":[21,143],"irregular":[23,118],"objects":[24,42,82,103],"environment":[27,45],"still":[28],"pose":[29,100],"significant":[30],"challenges.":[31],"Consequently,":[32],"this":[33],"work":[34],"proposes":[35],"a":[36,88],"real-time":[37],"approach":[38],"to":[39,66,84,96,116],"detect":[40],"moving":[41],"estimate":[47],"their":[48],"six-degree-of-freedom":[49],"(6-DoF)":[50],"motion":[51],"without":[52],"making":[53],"any":[54],"assumptions":[55],"about":[56],"type":[58],"objects.":[61,119],"The":[62,134],"central":[63],"idea":[64],"is":[65],"analyze":[67],"correlation":[69],"between":[70],"map":[71],"points":[72],"segmenting":[74],"point":[75],"clouds":[76],"which":[77,114],"are":[78],"parts":[79],"dynamic":[81,144],"belonging":[83],"different":[85],"groups.":[86],"Then,":[87],"region-based":[89],"bundle":[90],"adjustment":[91],"method":[92,109,138],"has":[93],"been":[94],"developed":[95],"obtain":[97],"optimized":[99],"on":[104],"SE(3)":[106],"manifold.":[107],"Our":[108],"surpasses":[110],"existing":[111],"appearance-based":[112],"approaches,":[113],"struggle":[115],"handle":[117],"To":[120],"validate":[121],"effectiveness":[123],"our":[125,129,137],"algorithm,":[126],"we":[127],"tested":[128],"algorithm":[130],"real-world":[132],"environments.":[133],"results":[135],"demonstrate":[136],"achieves":[139],"superior":[140],"accuracy":[141],"objects,":[145],"showcasing":[146],"its":[147],"potential":[148],"for":[149],"various":[150],"applications.":[151]},"counts_by_year":[],"updated_date":"2026-04-16T15:07:20.185449","created_date":"2025-10-10T00:00:00"}