{"id":"https://openalex.org/W3126813602","doi":"https://doi.org/10.1109/isocc50952.2020.9333071","title":"A Distance-Aware Technique for Object Detection Used in Self-Driving Vehicles","display_name":"A Distance-Aware Technique for Object Detection Used in Self-Driving Vehicles","publication_year":2020,"publication_date":"2020-10-21","ids":{"openalex":"https://openalex.org/W3126813602","doi":"https://doi.org/10.1109/isocc50952.2020.9333071","mag":"3126813602"},"language":"en","primary_location":{"id":"doi:10.1109/isocc50952.2020.9333071","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isocc50952.2020.9333071","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International SoC Design Conference (ISOCC)","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/A5101986027","display_name":"Kuan-Hung Chen","orcid":"https://orcid.org/0000-0001-8172-2205"},"institutions":[{"id":"https://openalex.org/I4880106","display_name":"Feng Chia University","ror":"https://ror.org/05vhczg54","country_code":"TW","type":"education","lineage":["https://openalex.org/I4880106"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Kuan-Hung Chen","raw_affiliation_strings":["Department of Electronic Engineering, Feng Chia University, Taichung, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Feng Chia University, Taichung, Taiwan","institution_ids":["https://openalex.org/I4880106"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064397658","display_name":"Yu-Ta Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I4880106","display_name":"Feng Chia University","ror":"https://ror.org/05vhczg54","country_code":"TW","type":"education","lineage":["https://openalex.org/I4880106"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yu-Ta Lu","raw_affiliation_strings":["Department of Electronic Engineering, Feng Chia University, Taichung, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Feng Chia University, Taichung, Taiwan","institution_ids":["https://openalex.org/I4880106"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101986027"],"corresponding_institution_ids":["https://openalex.org/I4880106"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.17201049,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"197","last_page":"198"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","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/T10036","display_name":"Advanced Neural Network Applications","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/T12676","display_name":"Machine Learning and ELM","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9883999824523926,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/dram","display_name":"Dram","score":0.8969060182571411},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8465137481689453},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.7040460705757141},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.673778235912323},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.5627517700195312},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.48677706718444824},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4374263882637024},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.4325392246246338},{"id":"https://openalex.org/keywords/dynamic-random-access-memory","display_name":"Dynamic random-access memory","score":0.4304192364215851},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.41983842849731445},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.35585010051727295},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3470481336116791},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.34700706601142883},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.22433295845985413},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.19961696863174438},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.19116276502609253},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.1256178915500641}],"concepts":[{"id":"https://openalex.org/C7366592","wikidata":"https://www.wikidata.org/wiki/Q1255620","display_name":"Dram","level":2,"score":0.8969060182571411},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8465137481689453},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.7040460705757141},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.673778235912323},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.5627517700195312},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.48677706718444824},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4374263882637024},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.4325392246246338},{"id":"https://openalex.org/C118702147","wikidata":"https://www.wikidata.org/wiki/Q189396","display_name":"Dynamic random-access memory","level":3,"score":0.4304192364215851},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.41983842849731445},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.35585010051727295},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3470481336116791},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.34700706601142883},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.22433295845985413},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.19961696863174438},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.19116276502609253},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1256178915500641},{"id":"https://openalex.org/C98986596","wikidata":"https://www.wikidata.org/wiki/Q1143031","display_name":"Semiconductor memory","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isocc50952.2020.9333071","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isocc50952.2020.9333071","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International SoC Design Conference (ISOCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2933144248","display_name":null,"funder_award_id":"MOST 108-2218-E-035-009,MOST 109-2218-E-035-006,20H04160","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"}],"funders":[{"id":"https://openalex.org/F4320322795","display_name":"Ministry of Science and Technology, Taiwan","ror":"https://ror.org/02kv4zf79"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2963122961","https://openalex.org/W2963446712","https://openalex.org/W2987175876","https://openalex.org/W6725739302"],"related_works":["https://openalex.org/W2518930778","https://openalex.org/W2979599569","https://openalex.org/W3007039213","https://openalex.org/W3094611732","https://openalex.org/W2533585248","https://openalex.org/W2559795407","https://openalex.org/W2944414554","https://openalex.org/W2000563648","https://openalex.org/W3009022466","https://openalex.org/W2123644672"],"abstract_inverted_index":{"Object":[0],"detection":[1,45,100],"obtains":[2],"huge":[3],"improvement":[4],"after":[5],"adopting":[6],"deep":[7,11],"learning":[8,12],"technique.":[9],"However,":[10],"technique":[13,42],"requires":[14],"extremely":[15],"high":[16],"computation":[17,51,78],"complexity":[18,52,79],"and":[19,53,75,80],"heavy":[20],"DRAM":[21,54,81],"(Dynamic":[22],"Random":[23],"Access":[24],"Memory)":[25],"bandwidth":[26],"requirements,":[27],"which":[28],"blocks":[29],"the":[30,49,67,93],"deployment":[31],"over":[32],"various":[33],"kinds":[34],"of":[35,77],"platforms.":[36],"This":[37],"paper":[38],"provides":[39],"a":[40],"distance-aware":[41],"for":[43,85],"object":[44],"that":[46],"can":[47,70],"adjust":[48],"required":[50],"access":[55,82],"amount":[56],"according":[57],"to":[58,64,73,92],"several":[59],"different":[60],"searching":[61],"distances.":[62],"According":[63],"our":[65],"analysis,":[66],"perception":[68],"system":[69],"save":[71],"up":[72],"34.2%":[74],"21.5%":[76],"amount,":[83],"respectively,":[84],"detecting":[86],"near":[87],"field":[88],"objects":[89],"when":[90],"compared":[91],"full":[94],"range":[95],"detection,":[96],"without":[97],"sacrificing":[98],"any":[99],"accuracy.":[101]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
