{"id":"https://openalex.org/W2921702685","doi":"https://doi.org/10.1109/robio.2018.8665053","title":"Perception of Vehicle and Traffic Dynamics Using Visual-Inertial Sensors for Assistive Driving","display_name":"Perception of Vehicle and Traffic Dynamics Using Visual-Inertial Sensors for Assistive Driving","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2921702685","doi":"https://doi.org/10.1109/robio.2018.8665053","mag":"2921702685"},"language":"en","primary_location":{"id":"doi:10.1109/robio.2018.8665053","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2018.8665053","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Robotics and Biomimetics (ROBIO)","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/A5101569377","display_name":"Yinlong Zhang","orcid":"https://orcid.org/0000-0003-1752-9835"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinlong Zhang","raw_affiliation_strings":["University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101518750","display_name":"Wei Liang","orcid":"https://orcid.org/0000-0002-3345-2949"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Liang","raw_affiliation_strings":["University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060311371","display_name":"Hongsheng He","orcid":"https://orcid.org/0000-0002-2810-865X"},"institutions":[{"id":"https://openalex.org/I39587148","display_name":"Wichita State University","ror":"https://ror.org/00c4e7y75","country_code":"US","type":"education","lineage":["https://openalex.org/I39587148"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hongsheng He","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Wichita State University, Wichita, Kansas, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Wichita State University, Wichita, Kansas, USA","institution_ids":["https://openalex.org/I39587148"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025711005","display_name":"Jindong Tan","orcid":"https://orcid.org/0000-0003-0339-8811"},"institutions":[{"id":"https://openalex.org/I75027704","display_name":"University of Tennessee at Knoxville","ror":"https://ror.org/020f3ap87","country_code":"US","type":"education","lineage":["https://openalex.org/I75027704"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jindong Tan","raw_affiliation_strings":["Department of Mechanical, University of Tennessee, Knoxville, TN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical, University of Tennessee, Knoxville, TN, USA","institution_ids":["https://openalex.org/I75027704"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9998999834060669,"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":0.9998999834060669,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9994000196456909,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/inertial-measurement-unit","display_name":"Inertial measurement unit","score":0.7066330909729004},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6922849416732788},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6463361978530884},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6452517509460449},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.6214138865470886},{"id":"https://openalex.org/keywords/inertial-frame-of-reference","display_name":"Inertial frame of reference","score":0.5667068958282471},{"id":"https://openalex.org/keywords/odometry","display_name":"Odometry","score":0.5644977688789368},{"id":"https://openalex.org/keywords/vehicle-dynamics","display_name":"Vehicle dynamics","score":0.5494857430458069},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.45620062947273254},{"id":"https://openalex.org/keywords/dynamics","display_name":"Dynamics (music)","score":0.43896040320396423},{"id":"https://openalex.org/keywords/nonholonomic-system","display_name":"Nonholonomic system","score":0.43837472796440125},{"id":"https://openalex.org/keywords/visual-odometry","display_name":"Visual odometry","score":0.4320584833621979},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.3281046152114868},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.23010984063148499},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.22270062565803528},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.21580728888511658},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.1518443524837494}],"concepts":[{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.7066330909729004},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6922849416732788},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6463361978530884},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6452517509460449},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.6214138865470886},{"id":"https://openalex.org/C173386949","wikidata":"https://www.wikidata.org/wiki/Q192735","display_name":"Inertial frame of reference","level":2,"score":0.5667068958282471},{"id":"https://openalex.org/C49441653","wikidata":"https://www.wikidata.org/wiki/Q2014717","display_name":"Odometry","level":4,"score":0.5644977688789368},{"id":"https://openalex.org/C79487989","wikidata":"https://www.wikidata.org/wiki/Q934680","display_name":"Vehicle dynamics","level":2,"score":0.5494857430458069},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.45620062947273254},{"id":"https://openalex.org/C145912823","wikidata":"https://www.wikidata.org/wiki/Q113558","display_name":"Dynamics (music)","level":2,"score":0.43896040320396423},{"id":"https://openalex.org/C138632511","wikidata":"https://www.wikidata.org/wiki/Q2478109","display_name":"Nonholonomic system","level":4,"score":0.43837472796440125},{"id":"https://openalex.org/C5799516","wikidata":"https://www.wikidata.org/wiki/Q4110915","display_name":"Visual odometry","level":3,"score":0.4320584833621979},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3281046152114868},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.23010984063148499},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.22270062565803528},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.21580728888511658},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.1518443524837494},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/robio.2018.8665053","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2018.8665053","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Robotics and Biomimetics (ROBIO)","raw_type":"proceedings-article"},{"id":"pmh:oai:soar.wichita.edu:10057/16129","is_oa":false,"landing_page_url":"http://hdl.handle.net/10057/16129","pdf_url":null,"source":{"id":"https://openalex.org/S4306401479","display_name":"Holmes Museum Of Anthropology (Wichita State University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I39587148","host_organization_name":"Wichita State University","host_organization_lineage":["https://openalex.org/I39587148"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.7900000214576721}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1985604452","https://openalex.org/W1998058414","https://openalex.org/W2001836169","https://openalex.org/W2032924574","https://openalex.org/W2091790851","https://openalex.org/W2127061207","https://openalex.org/W2137097255","https://openalex.org/W2159132531","https://openalex.org/W2179713099","https://openalex.org/W2283109172","https://openalex.org/W2412403816","https://openalex.org/W2509440585"],"related_works":["https://openalex.org/W2979950214","https://openalex.org/W87609089","https://openalex.org/W3024737167","https://openalex.org/W2414561716","https://openalex.org/W3161199934","https://openalex.org/W2303855011","https://openalex.org/W2312326526","https://openalex.org/W3105866016","https://openalex.org/W4312703710","https://openalex.org/W208888162"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"an":[3],"approach":[4],"to":[5,21,104,143],"analyze":[6,179],"vehicle":[7,38,82,89,141],"and":[8,16,39,63,69,90,161,177,184],"traffic":[9],"dynamics":[10,35,41,86,181],"by":[11,59,79],"fusing":[12],"a":[13,80,152],"monocular":[14],"camera":[15],"inertial":[17,64],"sensors.":[18],"As":[19],"opposed":[20],"traditional":[22],"visual-inertial":[23],"odometry":[24],"for":[25],"ground":[26],"vehicles,":[27],"the":[28,34,37,40,43,47,54,60,67,70,88,91,109,123,130,138,144,172,180],"proposed":[29,100,124,173],"method":[30,101,125,174],"can":[31,175],"estimate":[32],"both":[33],"of":[36,42,46,66,87,111,128,132,140,182],"surrounding":[44,55,133,185],"environment":[45,56,106],"vehicle.":[48],"The":[49,85,99,167],"visual":[50,71,97],"features":[51,72],"associated":[52,73],"with":[53,74],"are":[57,77,93],"determined":[58],"nonholonomic":[61],"constraint":[62],"measurements":[65],"vehicle,":[68],"moving":[75,113],"vehicles":[76,114,134,183],"segmented":[78],"part-based":[81],"detection":[83],"model.":[84],"scene":[92],"computed":[94],"from":[95],"respective":[96],"features.":[98],"is":[102,126],"robust":[103],"high-dynamic":[105],"such":[107],"as":[108,135,137],"scenario":[110],"many":[112],"during":[115,164],"rush":[116,165],"hours":[117],"in":[118,158],"downtown":[119,159],"areas.":[120],"In":[121],"addition,":[122],"capable":[127],"estimating":[129],"number":[131],"well":[136],"ratios":[139],"regions":[142],"whole":[145],"image":[146],"area.":[147],"Experiments":[148],"were":[149],"performed":[150],"on":[151],"challenging":[153],"dataset":[154],"that":[155,171],"was":[156],"collected":[157],"areas":[160],"interstate":[162],"highways":[163],"hours.":[166],"experimental":[168],"results":[169],"showed":[170],"robustly":[176],"accurately":[178],"environments.":[186]},"counts_by_year":[{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}