{"id":"https://openalex.org/W3044631217","doi":"https://doi.org/10.1109/iccicc46617.2019.9146070","title":"Towards Computationally-Efficient Cognitive Sensor Systems for Autonomous Vehicles","display_name":"Towards Computationally-Efficient Cognitive Sensor Systems for Autonomous Vehicles","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W3044631217","doi":"https://doi.org/10.1109/iccicc46617.2019.9146070","mag":"3044631217"},"language":"en","primary_location":{"id":"doi:10.1109/iccicc46617.2019.9146070","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccicc46617.2019.9146070","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 18th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)","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/A5077054969","display_name":"Shashanka Marigi Rajanarayana","orcid":null},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Shashanka Marigi Rajanarayana","raw_affiliation_strings":["Circuits and Systems Group, Delft University of Technology, Delft, Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Circuits and Systems Group, Delft University of Technology, Delft, Netherlands","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101449950","display_name":"Sumeet S. Kumar","orcid":"https://orcid.org/0000-0002-0667-7552"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Sumeet Kumar","raw_affiliation_strings":["Circuits and Systems Group, Delft University of Technology, Delft, Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Circuits and Systems Group, Delft University of Technology, Delft, Netherlands","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019444861","display_name":"Amir Zjajo","orcid":"https://orcid.org/0000-0002-0716-8186"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Amir Zjajo","raw_affiliation_strings":["Circuits and Systems Group, Delft University of Technology, Delft, Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Circuits and Systems Group, Delft University of Technology, Delft, Netherlands","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041082811","display_name":"Ren\u00e9 van Leuken","orcid":"https://orcid.org/0000-0003-0638-7595"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Rene van Leuken","raw_affiliation_strings":["Circuits and Systems Group, Delft University of Technology, Delft, Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Circuits and Systems Group, Delft University of Technology, Delft, Netherlands","institution_ids":["https://openalex.org/I98358874"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I98358874"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.24129664,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"abs 1611 5128","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9990000128746033,"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":0.9990000128746033,"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9900000095367432,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/computer-science","display_name":"Computer science","score":0.7284312844276428},{"id":"https://openalex.org/keywords/cruise-control","display_name":"Cruise control","score":0.6601043343544006},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6454458236694336},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.5330622792243958},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5009334087371826},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.49333277344703674},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46789515018463135},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.45641687512397766},{"id":"https://openalex.org/keywords/advanced-driver-assistance-systems","display_name":"Advanced driver assistance systems","score":0.44225138425827026},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.426765501499176},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.18273282051086426},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1063392162322998}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7284312844276428},{"id":"https://openalex.org/C113168747","wikidata":"https://www.wikidata.org/wiki/Q507295","display_name":"Cruise control","level":3,"score":0.6601043343544006},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6454458236694336},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.5330622792243958},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5009334087371826},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.49333277344703674},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46789515018463135},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.45641687512397766},{"id":"https://openalex.org/C87833898","wikidata":"https://www.wikidata.org/wiki/Q1060280","display_name":"Advanced driver assistance systems","level":2,"score":0.44225138425827026},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.426765501499176},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.18273282051086426},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1063392162322998},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccicc46617.2019.9146070","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccicc46617.2019.9146070","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 18th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.5,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W124653583","https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1686810756","https://openalex.org/W1841592590","https://openalex.org/W1903029394","https://openalex.org/W1999050017","https://openalex.org/W1999085092","https://openalex.org/W2048266589","https://openalex.org/W2067523571","https://openalex.org/W2070167224","https://openalex.org/W2094756095","https://openalex.org/W2097117768","https://openalex.org/W2117696986","https://openalex.org/W2130306094","https://openalex.org/W2163605009","https://openalex.org/W2183182206","https://openalex.org/W2285660444","https://openalex.org/W2286256158","https://openalex.org/W2442974303","https://openalex.org/W2505004417","https://openalex.org/W2513079078","https://openalex.org/W2523838129","https://openalex.org/W2554302513","https://openalex.org/W2560609797","https://openalex.org/W2563715243","https://openalex.org/W2565960208","https://openalex.org/W2587914027","https://openalex.org/W2588289902","https://openalex.org/W2604319603","https://openalex.org/W2611781169","https://openalex.org/W2766226593","https://openalex.org/W2769923865","https://openalex.org/W2792919579","https://openalex.org/W2891649842","https://openalex.org/W2963037989","https://openalex.org/W2963121255","https://openalex.org/W2963324806","https://openalex.org/W2963542991","https://openalex.org/W4253012315","https://openalex.org/W4293402673","https://openalex.org/W4297666078","https://openalex.org/W6620707391","https://openalex.org/W6628973269","https://openalex.org/W6629368666","https://openalex.org/W6635292102","https://openalex.org/W6637373629","https://openalex.org/W6638264490","https://openalex.org/W6638783484","https://openalex.org/W6640054144","https://openalex.org/W6674914833","https://openalex.org/W6679349572","https://openalex.org/W6684191040","https://openalex.org/W6695934027","https://openalex.org/W6727533809","https://openalex.org/W6730146958","https://openalex.org/W6739778489","https://openalex.org/W6763422710"],"related_works":["https://openalex.org/W4253720181","https://openalex.org/W644513019","https://openalex.org/W2586244547","https://openalex.org/W1963747729","https://openalex.org/W2246414322","https://openalex.org/W1122978781","https://openalex.org/W173875111","https://openalex.org/W2517167844","https://openalex.org/W651900853","https://openalex.org/W2077826454"],"abstract_inverted_index":{"Advanced":[0],"driving":[1,16],"assistance":[2],"systems":[3],"(ADAS)":[4],"prepave":[5],"regulators,":[6],"consumers":[7],"and":[8,23,33,58,65,93,96,128,131],"corporations":[9],"for":[10,105],"the":[11,37,79,82,114,119],"medium-term":[12],"reality":[13],"of":[14,52,81,88],"autonomous":[15],"with":[17],"adaptive":[18],"cruise":[19],"control,":[20],"collision":[21],"avoidance":[22],"lane":[24],"departure":[25],"warning":[26],"system.":[27],"Various":[28],"sensors":[29,84],"like":[30],"camera,":[31],"RADAR":[32],"LIDAR,":[34],"integrated":[35],"into":[36],"vehicle":[38,70],"assist":[39],"driving.":[40],"In":[41,73],"addition,":[42],"deep":[43,100,121],"learning":[44,101,122],"approaches":[45],"are":[46],"utilized":[47],"in":[48,86],"a":[49],"wide":[50],"range":[51],"applications":[53],"ranging":[54],"from":[55],"object":[56],"detection":[57],"scene":[59],"segmentation":[60],"to":[61,68],"engine":[62],"fault":[63],"diagnosis":[64],"emission":[66],"management":[67],"detect":[69],"network":[71],"intrusion.":[72],"this":[74],"paper,":[75],"we":[76,97,112],"scope":[77],"out":[78],"state":[80],"art":[83],"subsystems":[85],"terms":[87],"its":[89],"functionality,":[90],"characteristics,":[91],"specifications":[92],"communication":[94],"protocol,":[95],"describe":[98],"cognitive":[99,115],"based":[102],"algorithms":[103],"required":[104],"environment":[106],"perception":[107],"through":[108],"these":[109],"sensors.":[110],"Subsequently,":[111],"analyze":[113],"algorithm":[116,130],"by":[117],"profiling":[118],"standard":[120],"models,":[123],"explore":[124],"different":[125],"compute":[126],"platforms":[127],"possible":[129],"hardware":[132],"optimization":[133],"scenarios.":[134]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}