{"id":"https://openalex.org/W4405778965","doi":"https://doi.org/10.1109/iros58592.2024.10802028","title":"Visual Perception System for Autonomous Driving","display_name":"Visual Perception System for Autonomous Driving","publication_year":2024,"publication_date":"2024-10-14","ids":{"openalex":"https://openalex.org/W4405778965","doi":"https://doi.org/10.1109/iros58592.2024.10802028"},"language":"en","primary_location":{"id":"doi:10.1109/iros58592.2024.10802028","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros58592.2024.10802028","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","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/A5077936500","display_name":"Qi Zhang","orcid":"https://orcid.org/0009-0004-6255-839X"},"institutions":[{"id":"https://openalex.org/I51601045","display_name":"University of Bath","ror":"https://ror.org/002h8g185","country_code":"GB","type":"education","lineage":["https://openalex.org/I51601045"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Qi Zhang","raw_affiliation_strings":["University of Bath,Department of Computer Science,UK"],"affiliations":[{"raw_affiliation_string":"University of Bath,Department of Computer Science,UK","institution_ids":["https://openalex.org/I51601045"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081682513","display_name":"Siyuan Gou","orcid":null},"institutions":[{"id":"https://openalex.org/I51601045","display_name":"University of Bath","ror":"https://ror.org/002h8g185","country_code":"GB","type":"education","lineage":["https://openalex.org/I51601045"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Siyuan Gou","raw_affiliation_strings":["University of Bath,Department of Computer Science,UK"],"affiliations":[{"raw_affiliation_string":"University of Bath,Department of Computer Science,UK","institution_ids":["https://openalex.org/I51601045"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100463006","display_name":"Wenbin Li","orcid":"https://orcid.org/0000-0002-5593-2599"},"institutions":[{"id":"https://openalex.org/I51601045","display_name":"University of Bath","ror":"https://ror.org/002h8g185","country_code":"GB","type":"education","lineage":["https://openalex.org/I51601045"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Wenbin Li","raw_affiliation_strings":["University of Bath,Department of Computer Science,UK"],"affiliations":[{"raw_affiliation_string":"University of Bath,Department of Computer Science,UK","institution_ids":["https://openalex.org/I51601045"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5077936500"],"corresponding_institution_ids":["https://openalex.org/I51601045"],"apc_list":null,"apc_paid":null,"fwci":0.7403,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.76994732,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"3204","last_page":"3211"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.7020999789237976,"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"}},"topics":[{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.7020999789237976,"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/computer-science","display_name":"Computer science","score":0.6629652380943298},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.6199181079864502},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.45129698514938354},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.45004093647003174},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3317526578903198},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.15944251418113708},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.07815280556678772}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6629652380943298},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.6199181079864502},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45129698514938354},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.45004093647003174},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3317526578903198},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.15944251418113708},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.07815280556678772}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros58592.2024.10802028","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros58592.2024.10802028","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.41999998688697815,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1612997784","https://openalex.org/W2031031248","https://openalex.org/W2115579991","https://openalex.org/W2167340365","https://openalex.org/W2236623899","https://openalex.org/W2468215248","https://openalex.org/W2535547924","https://openalex.org/W2808571300","https://openalex.org/W2927562344","https://openalex.org/W2938672559","https://openalex.org/W2950989657","https://openalex.org/W2953920664","https://openalex.org/W2963353290","https://openalex.org/W2967352563","https://openalex.org/W2989851631","https://openalex.org/W3086436251","https://openalex.org/W3136115421","https://openalex.org/W3136999308","https://openalex.org/W3146082954","https://openalex.org/W4200015065","https://openalex.org/W4214516362","https://openalex.org/W4285102474","https://openalex.org/W4292793982","https://openalex.org/W4312580307","https://openalex.org/W4386076204","https://openalex.org/W6681158678","https://openalex.org/W6745935785","https://openalex.org/W6756486208","https://openalex.org/W6778471983","https://openalex.org/W6798838024","https://openalex.org/W6845938754","https://openalex.org/W6847073259"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"The":[0,90,131],"recent":[1],"surge":[2],"in":[3,5,29,119],"interest":[4],"autonomous":[6,25,43,66,88],"driving":[7,26,67],"is":[8],"fueled":[9],"by":[10],"its":[11,30],"rapidly":[12],"developing":[13],"capacity":[14],"to":[15,37,42,77,97,127],"enhance":[16],"safety,":[17],"efficiency,":[18,133],"and":[19,50,55,72,84,99,114,134,147],"convenience.":[20],"A":[21],"key":[22],"component":[23],"of":[24,74,87,136,144],"technology":[27],"lies":[28],"perceptual":[31],"systems,":[32],"where":[33],"advancements":[34],"have":[35],"led":[36],"more":[38],"precise":[39],"algorithms":[40],"applicable":[41],"driving,":[44],"such":[45],"as":[46],"vision-based":[47],"Simultaneous":[48],"Localization":[49],"Mapping":[51],"(SLAM),":[52],"object":[53],"detection,":[54],"tracking":[56,71],"algorithms.":[57],"This":[58,108],"work":[59],"introduces":[60],"a":[61,124],"visual-based":[62],"perception":[63],"system":[64,91],"for":[65],"that":[68],"integrates":[69],"trajectory":[70],"prediction":[73],"moving":[75,117],"objects":[76,118],"prevent":[78],"collisions":[79],"while":[80,103],"addressing":[81],"the":[82,106,120],"localization":[83,113],"mapping":[85,105],"needs":[86],"driving.":[89],"leverages":[92],"motion":[93],"cues":[94],"from":[95],"pedestrians":[96],"monitor":[98],"forecast":[100],"their":[101],"movements":[102],"simultaneously":[104],"environment.":[107],"integrated":[109],"approach":[110,138],"resolves":[111],"camera":[112],"tracks":[115],"other":[116],"scene,":[121],"ultimately":[122],"generating":[123],"sparse":[125],"map":[126],"facilitate":[128],"vehicle":[129],"navigation.":[130],"performance,":[132],"resilience":[135],"this":[137],"are":[139],"demonstrated":[140],"through":[141],"comprehensive":[142],"evaluations":[143],"both":[145],"simulated":[146],"real-world":[148],"datasets.":[149]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
