{"id":"https://openalex.org/W4386763593","doi":"https://doi.org/10.1109/dac56929.2023.10247780","title":"BLITZCRANK: Factor Graph Accelerator for Motion Planning","display_name":"BLITZCRANK: Factor Graph Accelerator for Motion Planning","publication_year":2023,"publication_date":"2023-07-09","ids":{"openalex":"https://openalex.org/W4386763593","doi":"https://doi.org/10.1109/dac56929.2023.10247780"},"language":"en","primary_location":{"id":"doi:10.1109/dac56929.2023.10247780","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dac56929.2023.10247780","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 60th ACM/IEEE Design Automation Conference (DAC)","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/A5036005407","display_name":"Yuhui Hao","orcid":"https://orcid.org/0000-0003-1301-5271"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhui Hao","raw_affiliation_strings":["Tianjin University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tianjin University","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012891934","display_name":"Yiming Gan","orcid":"https://orcid.org/0000-0002-2033-5057"},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yiming Gan","raw_affiliation_strings":["University of Rochester"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Rochester","institution_ids":["https://openalex.org/I5388228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024538192","display_name":"Yu Bo","orcid":"https://orcid.org/0000-0002-0139-3622"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bo Yu","raw_affiliation_strings":["BeyonCa"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"BeyonCa","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100409523","display_name":"Qiang Liu","orcid":"https://orcid.org/0000-0003-1375-0508"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Liu","raw_affiliation_strings":["Tianjin University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tianjin University","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023316361","display_name":"Shao-Shan Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shao-Shan Liu","raw_affiliation_strings":["BeyonCa"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"BeyonCa","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023684582","display_name":"Yuhao Zhu","orcid":"https://orcid.org/0000-0002-2802-0578"},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuhao Zhu","raw_affiliation_strings":["University of Rochester"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Rochester","institution_ids":["https://openalex.org/I5388228"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2138,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.86592739,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"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/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9998999834060669,"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/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9998999834060669,"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":0.9993000030517578,"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":0.9934999942779541,"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/factor-graph","display_name":"Factor graph","score":0.8109046220779419},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7590267658233643},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6269395351409912},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5513824224472046},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.48395588994026184},{"id":"https://openalex.org/keywords/motion-planning","display_name":"Motion planning","score":0.4695865511894226},{"id":"https://openalex.org/keywords/graph-theory","display_name":"Graph theory","score":0.46781396865844727},{"id":"https://openalex.org/keywords/factor","display_name":"Factor (programming language)","score":0.4313387870788574},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31051409244537354},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2743377089500427},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.19264835119247437},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.12724584341049194},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1129249632358551}],"concepts":[{"id":"https://openalex.org/C159246509","wikidata":"https://www.wikidata.org/wiki/Q5428725","display_name":"Factor graph","level":3,"score":0.8109046220779419},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7590267658233643},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6269395351409912},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5513824224472046},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.48395588994026184},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.4695865511894226},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.46781396865844727},{"id":"https://openalex.org/C2781039887","wikidata":"https://www.wikidata.org/wiki/Q1391724","display_name":"Factor (programming language)","level":2,"score":0.4313387870788574},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31051409244537354},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2743377089500427},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.19264835119247437},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.12724584341049194},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1129249632358551},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dac56929.2023.10247780","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dac56929.2023.10247780","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 60th ACM/IEEE Design Automation Conference (DAC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.550000011920929}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1971086298","https://openalex.org/W2024915064","https://openalex.org/W2092304636","https://openalex.org/W2099893201","https://openalex.org/W2142224528","https://openalex.org/W2151395903","https://openalex.org/W2167797964","https://openalex.org/W2412669390","https://openalex.org/W2419216244","https://openalex.org/W2746349752","https://openalex.org/W3118408399","https://openalex.org/W4235505915","https://openalex.org/W4255097844"],"related_works":["https://openalex.org/W162456724","https://openalex.org/W2354832544","https://openalex.org/W4252544247","https://openalex.org/W2055243143","https://openalex.org/W2903198223","https://openalex.org/W144183602","https://openalex.org/W2767022047","https://openalex.org/W1557056212","https://openalex.org/W2757251458","https://openalex.org/W4386072419"],"abstract_inverted_index":{"Factor":[0],"graph":[1,4,69,102],"is":[2,86],"a":[3,9,16,59,67,105],"representing":[5],"the":[6,56,74,77,81,90,96,100,123],"factorization":[7],"of":[8,58,76,99],"probability":[10],"distribution":[11],"function":[12],"and":[13,30,41,79,117],"serves":[14],"as":[15,26,66],"perfect":[17],"abstraction":[18,57],"in":[19],"many":[20],"autonomous":[21,37],"machine":[22],"computing":[23],"stacks,":[24],"such":[25],"planning,":[27],"localization,":[28],"tracking":[29],"control,":[31],"which":[32],"are":[33],"challenging":[34],"tasks":[35],"for":[36,51],"systems":[38],"with":[39],"real-time":[40],"energy":[42,119],"constraints.In":[43],"this":[44],"paper,":[45],"we":[46,71],"present":[47],"BLITZCRANK,":[48],"an":[49],"accelerator":[50],"motion":[52,64],"planning":[53,65],"algorithms":[54],"using":[55],"factor":[60,68,101],"graph.":[61],"By":[62],"formulating":[63],"inference,":[70],"successfully":[72],"reduce":[73],"scale":[75],"problem":[78],"utilize":[80],"inherent":[82],"matrix":[83],"sparsity.":[84],"BLITZCRANK":[85,110],"able":[87],"to":[88,113,122],"realize":[89],"user-defined":[91],"optimal":[92,97],"design":[93],"by":[94],"finding":[95],"order":[98],"inference.":[103],"With":[104],"domain":[106],"specific":[107],"balancing":[108],"order,":[109],"achieves":[111],"up":[112,116],"7.4\u00d7":[114],"speed":[115],"29.7\u00d7":[118],"reduction":[120],"compared":[121],"software":[124],"implementation":[125],"on":[126],"Intel":[127],"CPU.":[128]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
