{"id":"https://openalex.org/W4392902769","doi":"https://doi.org/10.1109/icassp48485.2024.10446563","title":"Bounding Box-Guided Pseudo Point Clouds Early-Fusion and Density Optimize for 3D Object Detection","display_name":"Bounding Box-Guided Pseudo Point Clouds Early-Fusion and Density Optimize for 3D Object Detection","publication_year":2024,"publication_date":"2024-03-18","ids":{"openalex":"https://openalex.org/W4392902769","doi":"https://doi.org/10.1109/icassp48485.2024.10446563"},"language":"en","primary_location":{"id":"doi:10.1109/icassp48485.2024.10446563","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10446563","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5025265159","display_name":"Shiwei Zhao","orcid":"https://orcid.org/0000-0002-3410-3935"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiwei Zhao","raw_affiliation_strings":["Nanjing University of Information Science and Technology,School of Automation, B-DAT, CICAEET,Nanjing,China,210044"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Information Science and Technology,School of Automation, B-DAT, CICAEET,Nanjing,China,210044","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041252235","display_name":"Shengye Yan","orcid":"https://orcid.org/0000-0003-3583-0146"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengye Yan","raw_affiliation_strings":["Nanjing University of Information Science and Technology,School of Automation, B-DAT, CICAEET,Nanjing,China,210044"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Information Science and Technology,School of Automation, B-DAT, CICAEET,Nanjing,China,210044","institution_ids":["https://openalex.org/I200845125"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I200845125"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4205","last_page":"4209"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9994000196456909,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9994000196456909,"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":0.9879999756813049,"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9866999983787537,"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/point-cloud","display_name":"Point cloud","score":0.9190758466720581},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.8320798873901367},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7197688817977905},{"id":"https://openalex.org/keywords/minimum-bounding-box","display_name":"Minimum bounding box","score":0.615649938583374},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5671173334121704},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5386208891868591},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5088279843330383},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5041218996047974},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4846266210079193},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.47280803322792053},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.432037889957428},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.42666542530059814},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3629381060600281},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.17427420616149902},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1419043242931366},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08531501889228821},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.07853525876998901}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.9190758466720581},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.8320798873901367},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7197688817977905},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.615649938583374},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5671173334121704},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5386208891868591},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5088279843330383},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5041218996047974},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4846266210079193},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.47280803322792053},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.432037889957428},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.42666542530059814},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3629381060600281},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.17427420616149902},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1419043242931366},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08531501889228821},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.07853525876998901},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp48485.2024.10446563","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10446563","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2391655438","display_name":null,"funder_award_id":"62033010","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321605","display_name":"Government of Jiangsu Province","ror":"https://ror.org/004svx814"},{"id":"https://openalex.org/F4320327794","display_name":"Qinglan Project of Jiangsu Province of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W2115579991","https://openalex.org/W2145023731","https://openalex.org/W2150066425","https://openalex.org/W2570343428","https://openalex.org/W2949708697","https://openalex.org/W2951517617","https://openalex.org/W2954174912","https://openalex.org/W2968296999","https://openalex.org/W3004237909","https://openalex.org/W3034314779","https://openalex.org/W3034602892","https://openalex.org/W3035461736","https://openalex.org/W3118341329","https://openalex.org/W3130463448","https://openalex.org/W3170030651","https://openalex.org/W3178218920","https://openalex.org/W3206335707","https://openalex.org/W4200629389","https://openalex.org/W4200632008","https://openalex.org/W4294693533","https://openalex.org/W4312437143","https://openalex.org/W4382240183","https://openalex.org/W4386083121","https://openalex.org/W4389665536"],"related_works":["https://openalex.org/W4237171675","https://openalex.org/W3036286480","https://openalex.org/W4287027631","https://openalex.org/W3192357901","https://openalex.org/W2387360586","https://openalex.org/W2952736415","https://openalex.org/W3209723314","https://openalex.org/W3205398323","https://openalex.org/W2883297582","https://openalex.org/W4390524233"],"abstract_inverted_index":{"3D":[0,6,66,137],"point":[1,14,37,45,56,67,86,93,102,120],"clouds":[2,15,57,94],"are":[3],"used":[4],"for":[5],"object":[7,138],"detection.":[8],"The":[9],"sparsity":[10],"and":[11,28,73,95],"noises":[12],"of":[13,35,47,116,151],"poses":[16],"a":[17,64,71],"significant":[18],"challenge":[19],"primarily":[20],"due":[21],"to":[22,112],"difficulties":[23],"in":[24,119],"capturing":[25],"LiDAR":[26,29,136],"data":[27,39,62,122],"sensor":[30],"performance.":[31],"Typically,":[32],"the":[33,43,100,114,129,149],"number":[34],"captured":[36],"cloud":[38,76,87,103,121],"is":[40],"lower":[41],"than":[42],"real":[44,48],"density":[46,109,117],"scenes.":[49],"To":[50],"address":[51,113],"this":[52],"issue,":[53],"we":[54],"adopted":[55],"early-fusion,":[58],"which":[59,154],"integrates":[60],"multi-modal":[61],"into":[63],"comprehensive":[65],"clouds.":[68],"We":[69,105,125],"propose":[70,107],"straightforward":[72],"efficient":[74],"pseudo-point":[75],"generation":[77],"method":[78,111],"that":[79,143],"can":[80,147],"be":[81],"easily":[82],"integrated":[83],"with":[84,99],"existing":[85,152],"data.":[88,104],"This":[89],"involves":[90],"generating":[91],"pseudo":[92],"then":[96],"fusing":[97],"them":[98],"original":[101],"also":[106],"vertical":[108],"adaptation":[110],"problem":[115],"inhomogeneity":[118],"following":[123],"early-fusion.":[124],"conduct":[126],"experiments":[127],"on":[128],"well-known":[130],"KITTI":[131],"dataset":[132],"using":[133],"three":[134],"state-of-the-art":[135],"detectors.":[139],"Our":[140],"results":[141],"show":[142],"our":[144],"fusion":[145],"strategy":[146],"enhance":[148],"performance":[150],"detectors,":[153],"could":[155],"potentially":[156],"inspire":[157],"future":[158],"detector":[159],"designs.":[160]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}