{"id":"https://openalex.org/W4404133744","doi":"https://doi.org/10.1145/3649329.3656248","title":"CAMPER: Exploring the Potential of Content Addressable Memory for 3D Point Cloud Efficient Range Search","display_name":"CAMPER: Exploring the Potential of Content Addressable Memory for 3D Point Cloud Efficient Range Search","publication_year":2024,"publication_date":"2024-06-23","ids":{"openalex":"https://openalex.org/W4404133744","doi":"https://doi.org/10.1145/3649329.3656248"},"language":"en","primary_location":{"id":"doi:10.1145/3649329.3656248","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3649329.3656248","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 61st ACM/IEEE Design Automation Conference","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/A5066408819","display_name":"Jiapei Zheng","orcid":"https://orcid.org/0009-0001-8917-735X"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiapei Zheng","raw_affiliation_strings":["Fudan University, Shanghai, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101963648","display_name":"Lizhou Wu","orcid":"https://orcid.org/0009-0002-2570-7793"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lizhou Wu","raw_affiliation_strings":["Fudan University, Shanghai, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113293648","display_name":"Yutong Su","orcid":"https://orcid.org/0009-0008-6059-5778"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yutong Su","raw_affiliation_strings":["Fudan University, Shanghai, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115605045","display_name":"Jingyi Wang","orcid":"https://orcid.org/0009-0005-2326-3350"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingyi Wang","raw_affiliation_strings":["Fudan University, Shanghai, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031754349","display_name":"Zhangcheng Huang","orcid":"https://orcid.org/0000-0002-2551-7044"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhangcheng Huang","raw_affiliation_strings":["Fudan University, Shanghai, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051205321","display_name":"Chixiao Chen","orcid":"https://orcid.org/0000-0002-5980-4236"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chixiao Chen","raw_affiliation_strings":["Fudan University, Shanghai, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100453158","display_name":"Qi Liu","orcid":"https://orcid.org/0000-0001-7062-831X"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Liu","raw_affiliation_strings":["Fudan University, Shanghai, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5066408819"],"corresponding_institution_ids":["https://openalex.org/I24943067"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.30747227,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9941999912261963,"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":0.9941999912261963,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9930999875068665,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9812999963760376,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7251748442649841},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.6130419969558716},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5539379715919495},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.5410661697387695},{"id":"https://openalex.org/keywords/content","display_name":"Content (measure theory)","score":0.5387950539588928},{"id":"https://openalex.org/keywords/content-addressable-memory","display_name":"Content-addressable memory","score":0.41040340065956116},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2096252739429474},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.15224146842956543},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11943542957305908},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.0740450918674469},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06428796052932739}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7251748442649841},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.6130419969558716},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5539379715919495},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.5410661697387695},{"id":"https://openalex.org/C2778152352","wikidata":"https://www.wikidata.org/wiki/Q5165061","display_name":"Content (measure theory)","level":2,"score":0.5387950539588928},{"id":"https://openalex.org/C53442348","wikidata":"https://www.wikidata.org/wiki/Q745101","display_name":"Content-addressable memory","level":3,"score":0.41040340065956116},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2096252739429474},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.15224146842956543},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11943542957305908},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0740450918674469},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06428796052932739},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","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:10.1145/3649329.3656248","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3649329.3656248","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 61st ACM/IEEE Design Automation Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3865280386","display_name":null,"funder_award_id":"62322404","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5193137907","display_name":null,"funder_award_id":"2021ZD0114400","funder_id":"https://openalex.org/F4320329860","funder_display_name":"National Science and Technology Major Project"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320329860","display_name":"National Science and Technology Major Project","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2062143991","https://openalex.org/W2119851068","https://openalex.org/W2120439392","https://openalex.org/W2470724362","https://openalex.org/W2905253977","https://openalex.org/W2905544027","https://openalex.org/W2949708697","https://openalex.org/W2980295787","https://openalex.org/W3016339970","https://openalex.org/W3106317756","https://openalex.org/W4360831829","https://openalex.org/W4380875637"],"related_works":["https://openalex.org/W4244478748","https://openalex.org/W4223488648","https://openalex.org/W2134969820","https://openalex.org/W2251605416","https://openalex.org/W1997222214","https://openalex.org/W2560439919","https://openalex.org/W4389340727","https://openalex.org/W3150465815","https://openalex.org/W2802581102","https://openalex.org/W4205786897"],"abstract_inverted_index":{"The":[0,133],"use":[1],"of":[2,17,27,45,71,95,130,142,149,155],"Light":[3],"Detection":[4],"and":[5,15,37,61,124,128,151],"Ranging":[6],"(LiDAR)":[7],"for":[8,56,97,111],"sensing":[9],"has":[10,52],"continuously":[11],"improved":[12],"the":[13,21,24,38,42,46,93,126,131,138,160,170],"precision":[14],"performance":[16],"autonomous":[18],"driving.":[19],"At":[20],"same":[22],"time,":[23],"large":[25],"number":[26],"high-precision":[28],"point":[29,77,98],"clouds":[30],"generated":[31],"by":[32,164,175],"LiDAR":[33],"require":[34],"real-time":[35],"processing,":[36],"range":[39,79,100,139],"search":[40,57,118,140],"is":[41,67,162,173],"key":[43],"part":[44],"processing":[47],"pipeline.":[48],"Content-Addressable":[49],"Memory":[50],"(CAM)":[51],"proven":[53],"its":[54,74],"efficiency":[55,172],"tasks":[58],"on":[59,73,121],"switches":[60],"routers,":[62],"but":[63],"so":[64],"far,":[65],"there":[66],"still":[68],"a":[69,87,104,115,147,152],"lack":[70],"exploration":[72],"application":[75],"in":[76,137],"cloud":[78,99],"search.":[80,101],"In":[81],"this":[82],"work,":[83],"we":[84],"propose":[85],"CAMPER,":[86],"CAM-centered":[88],"accelerator,":[89,169],"aiming":[90],"to":[91],"explore":[92],"potential":[94],"CAM":[96,109],"We":[102],"developed":[103],"ripple":[105],"comparison":[106],"13T":[107],"(RC-13T)":[108],"cell":[110],"distance":[112],"comparison,":[113],"designed":[114],"spatial":[116],"approximation":[117],"algorithm":[119],"based":[120],"Chebyshev":[122],"distance,":[123],"discussed":[125],"flexibility":[127],"scalability":[129],"architecture.":[132],"results":[134],"show":[135],"that":[136],"task":[141],"64k@64k":[143],"points,":[144],"CAMPER":[145],"achieves":[146],"latency":[148],"0.83ms":[150],"power":[153],"consumption":[154],"114.6mW.":[156],"Compared":[157],"with":[158,167],"GPU,":[159],"throughput":[161],"increased":[163,174],"10.4\u00d7;":[165],"compared":[166],"SOTA":[168],"energy":[171],"about":[176],"228\u00d7.":[177]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}