{"id":"https://openalex.org/W3016570102","doi":"https://doi.org/10.1109/icspis48872.2019.9066130","title":"Deep Vision for Navigation of Autonomous Motorcycle in Urban and Semi-Urban Environments","display_name":"Deep Vision for Navigation of Autonomous Motorcycle in Urban and Semi-Urban Environments","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3016570102","doi":"https://doi.org/10.1109/icspis48872.2019.9066130","mag":"3016570102"},"language":"en","primary_location":{"id":"doi:10.1109/icspis48872.2019.9066130","doi":"https://doi.org/10.1109/icspis48872.2019.9066130","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icspis48872.2019.9066130","pdf_url":null,"source":{"id":"https://openalex.org/S7407086571","display_name":"Iranian Conference on Signal Processing and Intelligent Systems (ICSPIS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 5th Iranian Conference on Signal Processing and Intelligent Systems (ICSPIS)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5069047763","display_name":"Mohammad Ali Mohammadkhani","orcid":"https://orcid.org/0000-0002-4831-7686","observed_orcids":["https://orcid.org/0000-0002-4831-7686"]},"institutions":[{"id":"https://openalex.org/I4210109871","display_name":"Khatam University","ror":"https://ror.org/016tr2g85","country_code":"IR","type":"education","lineage":["https://openalex.org/I4210109871"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Mohammad Ali Mohammadkhani","raw_affiliation_strings":["Khatam University, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Khatam University, Tehran, Iran","institution_ids":["https://openalex.org/I4210109871"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034492145","display_name":"Babak Majidi","orcid":"https://orcid.org/0000-0001-6309-6407","observed_orcids":["https://orcid.org/0000-0001-6309-6407"]},"institutions":[{"id":"https://openalex.org/I4210109871","display_name":"Khatam University","ror":"https://ror.org/016tr2g85","country_code":"IR","type":"education","lineage":["https://openalex.org/I4210109871"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Babak Majidi","raw_affiliation_strings":["Khatam University, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Khatam University, Tehran, Iran","institution_ids":["https://openalex.org/I4210109871"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081696451","display_name":"Mohammad Taghi Manzuri","orcid":"https://orcid.org/0000-0002-3451-0338","observed_orcids":["https://orcid.org/0000-0002-3451-0338"]},"institutions":[{"id":"https://openalex.org/I133529467","display_name":"Sharif University of Technology","ror":"https://ror.org/024c2fq17","country_code":"IR","type":"education","lineage":["https://openalex.org/I133529467"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Mohammad Taghi Manzuri","raw_affiliation_strings":["Sharif University of Technology, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sharif University of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I133529467"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4611,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.53767068,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":93},"biblio":{"volume":"2","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9868000149726868,"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"}},"topics":[{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9868000149726868,"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"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.012600000016391277,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.00019999999494757503,"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/deep-neural-network","display_name":"deep neural network","score":0.7799999713897705},{"id":"https://openalex.org/keywords/visual-navigation","display_name":"visual navigation","score":0.7609999775886536},{"id":"https://openalex.org/keywords/off-road-navigation","display_name":"off-road navigation","score":0.6819999814033508},{"id":"https://openalex.org/keywords/autonomous-vehicles","display_name":"autonomous vehicles","score":0.5260000228881836}],"concepts":[{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.6775250434875488},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.650348424911499},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4848157465457916},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.4677185118198395},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.4659470319747925},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4511682987213135},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3461831212043762},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.32370424270629883},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icspis48872.2019.9066130","doi":"https://doi.org/10.1109/icspis48872.2019.9066130","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icspis48872.2019.9066130","pdf_url":null,"source":{"id":"https://openalex.org/S7407086571","display_name":"Iranian Conference on Signal Processing and Intelligent Systems (ICSPIS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 5th Iranian Conference on Signal Processing and Intelligent Systems (ICSPIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.5378999710083008},{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.5142999887466431}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1483870316","https://openalex.org/W1910657905","https://openalex.org/W2075478098","https://openalex.org/W2419448466","https://openalex.org/W2558580397","https://openalex.org/W2560023338","https://openalex.org/W2570343428","https://openalex.org/W2738783670","https://openalex.org/W2750413591","https://openalex.org/W2766252328","https://openalex.org/W2796347433","https://openalex.org/W2808432925","https://openalex.org/W2867505689","https://openalex.org/W2907965334","https://openalex.org/W2920112262","https://openalex.org/W2922002416","https://openalex.org/W2926123684","https://openalex.org/W2939668758","https://openalex.org/W2949766793","https://openalex.org/W2949936125","https://openalex.org/W2951192204","https://openalex.org/W2952591926","https://openalex.org/W2964217532"],"related_works":["https://openalex.org/W3107814123","https://openalex.org/W2898189180","https://openalex.org/W2952163072","https://openalex.org/W2887741506","https://openalex.org/W2999278027","https://openalex.org/W7117983997","https://openalex.org/W4406612468","https://openalex.org/W3034897322","https://openalex.org/W7164300382","https://openalex.org/W7046566469"],"abstract_inverted_index":{"Deep":[0],"neural":[1,61],"networks":[2],"are":[3,51],"currently":[4],"the":[5,21,70,102],"best":[6],"solution":[7],"for":[8,14,45,65,73,114],"road":[9],"and":[10,16,28,34,38,47,67],"traffic":[11,32],"scene":[12],"interpretation":[13,110],"autonomous":[15,22,77,115],"self-driving":[17],"vehicles.":[18],"Compared":[19],"to":[20],"cars,":[23],"motorcycles":[24],"have":[25],"significant":[26],"flexibility":[27],"advantages":[29],"in":[30,36,93],"crowded":[31],"situations":[33],"especially":[35,44],"non-urban":[37],"off-road":[39,42],"areas.":[40],"Many":[41],"tracks":[43],"agriculture":[46],"environment":[48],"management":[49],"tasks":[50],"only":[52],"traversable":[53],"with":[54],"motorcycles.":[55],"In":[56],"this":[57],"paper,":[58],"a":[59,90,118],"deep":[60],"network":[62],"is":[63,82,105],"used":[64],"design":[66],"implementation":[68],"of":[69,75,107,111,117],"vision":[71],"system":[72],"navigation":[74,116],"an":[76],"motorcycle.":[78,119],"The":[79,97],"proposed":[80,103],"framework":[81,104],"evaluated":[83],"using":[84],"real":[85,91],"world":[86],"scenarios":[87],"captured":[88],"by":[89],"motorcycle":[92],"various":[94,112],"complex":[95],"situations.":[96],"experimental":[98],"results":[99],"show":[100],"that":[101],"capable":[106],"highly":[108],"accurate":[109],"environments":[113]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-10-29T09:56:32.521200","created_date":"2020-04-24T00:00:00"}
