{"id":"https://openalex.org/W4388738168","doi":"https://doi.org/10.1145/3606043.3606078","title":"Dynamic Feature Point Elimination Algorithm Based on YOLOv5 and Optical Flow Method","display_name":"Dynamic Feature Point Elimination Algorithm Based on YOLOv5 and Optical Flow Method","publication_year":2023,"publication_date":"2023-06-17","ids":{"openalex":"https://openalex.org/W4388738168","doi":"https://doi.org/10.1145/3606043.3606078"},"language":"en","primary_location":{"id":"doi:10.1145/3606043.3606078","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3606043.3606078","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3606043.3606078","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 7th International Conference on High Performance Compilation, Computing and Communications","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3606043.3606078","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068208807","display_name":"Yifan Liu","orcid":"https://orcid.org/0009-0007-9772-9891"},"institutions":[{"id":"https://openalex.org/I4210125838","display_name":"Jilin University of Chemical Technology","ror":"https://ror.org/03bvz5p76","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125838"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifan Liu","raw_affiliation_strings":["Jilin Institute of Chemical Technology, China"],"raw_orcid":"https://orcid.org/0009-0007-9772-9891","affiliations":[{"raw_affiliation_string":"Jilin Institute of Chemical Technology, China","institution_ids":["https://openalex.org/I4210125838"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101723184","display_name":"Quande Yuan","orcid":"https://orcid.org/0000-0001-8426-1010"},"institutions":[{"id":"https://openalex.org/I4210143016","display_name":"Changchun Institute of Technology","ror":"https://ror.org/03r6wam78","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210143016"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Quande Yuan","raw_affiliation_strings":["Changchun Institute of Technology, China"],"raw_orcid":"https://orcid.org/0000-0001-8426-1010","affiliations":[{"raw_affiliation_string":"Changchun Institute of Technology, China","institution_ids":["https://openalex.org/I4210143016"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066816785","display_name":"Guoyin Zhang","orcid":"https://orcid.org/0009-0000-6503-4592"},"institutions":[{"id":"https://openalex.org/I4210125838","display_name":"Jilin University of Chemical Technology","ror":"https://ror.org/03bvz5p76","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125838"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoyin Zhang","raw_affiliation_strings":["Jilin Institute of Chemical Technology, China"],"raw_orcid":"https://orcid.org/0009-0000-6503-4592","affiliations":[{"raw_affiliation_string":"Jilin Institute of Chemical Technology, China","institution_ids":["https://openalex.org/I4210125838"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.23603244,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"246","last_page":"252"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":1.0,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9976999759674072,"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.794691801071167},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6962171792984009},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6811733841896057},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6576251983642578},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.5536143779754639},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5490579009056091},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.53597092628479},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5010058879852295},{"id":"https://openalex.org/keywords/feature-detection","display_name":"Feature detection (computer vision)","score":0.4847812056541443},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.48154690861701965},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47803884744644165},{"id":"https://openalex.org/keywords/simultaneous-localization-and-mapping","display_name":"Simultaneous localization and mapping","score":0.44601303339004517},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3941825330257416},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.29203760623931885},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18595236539840698},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.1287268102169037},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.08484655618667603}],"concepts":[{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.794691801071167},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6962171792984009},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6811733841896057},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6576251983642578},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.5536143779754639},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5490579009056091},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.53597092628479},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5010058879852295},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.4847812056541443},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.48154690861701965},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47803884744644165},{"id":"https://openalex.org/C86369673","wikidata":"https://www.wikidata.org/wiki/Q1203659","display_name":"Simultaneous localization and mapping","level":4,"score":0.44601303339004517},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3941825330257416},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.29203760623931885},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18595236539840698},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.1287268102169037},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.08484655618667603},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3606043.3606078","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3606043.3606078","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3606043.3606078","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 7th International Conference on High Performance Compilation, Computing and Communications","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3606043.3606078","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3606043.3606078","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3606043.3606078","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 7th International Conference on High Performance Compilation, Computing and Communications","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322174","display_name":"People's Government of Jilin Province","ror":"https://ror.org/02fzqav45"},{"id":"https://openalex.org/F4320326270","display_name":"Education Department of Jilin Province","ror":"https://ror.org/05782e512"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4388738168.pdf","grobid_xml":"https://content.openalex.org/works/W4388738168.grobid-xml"},"referenced_works_count":9,"referenced_works":["https://openalex.org/W1578285471","https://openalex.org/W2033819227","https://openalex.org/W2056898157","https://openalex.org/W2537007072","https://openalex.org/W2950989657","https://openalex.org/W3008784268","https://openalex.org/W3019173623","https://openalex.org/W3104842437","https://openalex.org/W4231887836"],"related_works":["https://openalex.org/W28570768","https://openalex.org/W4386083130","https://openalex.org/W2912965286","https://openalex.org/W3111737715","https://openalex.org/W4379791551","https://openalex.org/W1997438849","https://openalex.org/W2980144549","https://openalex.org/W3106568383","https://openalex.org/W1780126258","https://openalex.org/W4210656569"],"abstract_inverted_index":{"In":[0],"traditional":[1],"visual":[2,20],"simultaneous":[3],"localization":[4],"and":[5,16,58,95,122],"mapping":[6],"(vSLAM)":[7],"systems,":[8],"feature":[9,14,47,96,106,112,124],"points":[10,97,107,113,125,143],"are":[11,84,102,114,126],"critical":[12],"for":[13],"matching":[15],"pose":[17],"estimation.":[18],"However,":[19],"odometry":[21],"keyframes":[22],"often":[23],"contain":[24,80],"many":[25],"dynamic":[26,46,81,100,123,142],"points,":[27],"which":[28,83],"can":[29],"adversely":[30],"affect":[31],"the":[32,35,53,67,76,92,99,118,130,137,145,149,152],"accuracy":[33,150],"of":[34,151],"SLAM":[36,153],"system.":[37,154],"To":[38],"address":[39],"this":[40,42],"issue,":[41],"paper":[43],"proposes":[44],"a":[45],"point":[48],"elimination":[49],"algorithm":[50,139],"based":[51,128],"on":[52,129],"YOLOv5":[54,68],"target":[55],"detection":[56],"network":[57,69],"optical":[59],"flow":[60],"method":[61],"using":[62,117],"image":[63,77,94],"processing":[64],"techniques.":[65],"Specifically,":[66],"is":[70],"used":[71,103],"to":[72,104],"identify":[73],"regions":[74,101],"in":[75,144],"that":[78,136],"may":[79],"objects,":[82],"then":[85,115],"divided":[86],"into":[87],"sub-regions.":[88],"Depth":[89],"information":[90],"from":[91,98],"depth":[93,109],"obtain":[105],"with":[108],"information.":[110],"These":[111],"clustered":[116],"GMM":[119],"clustering":[120,131],"algorithm,":[121],"eliminated":[127],"results.":[132],"Experimental":[133],"results":[134],"show":[135],"proposed":[138],"effectively":[140],"eliminates":[141],"image,":[146],"thus":[147],"improving":[148]},"counts_by_year":[],"updated_date":"2026-07-31T08:31:51.225901","created_date":"2025-10-10T00:00:00"}
