{"id":"https://openalex.org/W4400646043","doi":"https://doi.org/10.1109/iv55156.2024.10588678","title":"Efficient and Interaction-Aware Trajectory Planning for Autonomous Vehicles with Particle Swarm Optimization","display_name":"Efficient and Interaction-Aware Trajectory Planning for Autonomous Vehicles with Particle Swarm Optimization","publication_year":2024,"publication_date":"2024-06-02","ids":{"openalex":"https://openalex.org/W4400646043","doi":"https://doi.org/10.1109/iv55156.2024.10588678"},"language":"en","primary_location":{"id":"doi:10.1109/iv55156.2024.10588678","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv55156.2024.10588678","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Intelligent Vehicles Symposium (IV)","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/A5043567044","display_name":"Lin Song","orcid":"https://orcid.org/0000-0001-8648-5501"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Lin Song","raw_affiliation_strings":["University of Illinois Urbana-Champaign,Urbana,IL,USA,61801"],"affiliations":[{"raw_affiliation_string":"University of Illinois Urbana-Champaign,Urbana,IL,USA,61801","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063634505","display_name":"David Isele","orcid":"https://orcid.org/0000-0001-9749-6951"},"institutions":[{"id":"https://openalex.org/I4210145184","display_name":"Honda (United States)","ror":"https://ror.org/04vdmc602","country_code":"US","type":"company","lineage":["https://openalex.org/I1283473643","https://openalex.org/I4210145184"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David Isele","raw_affiliation_strings":["Honda Research Institute,San Jose,CA,USA,95134"],"affiliations":[{"raw_affiliation_string":"Honda Research Institute,San Jose,CA,USA,95134","institution_ids":["https://openalex.org/I4210145184"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029998748","display_name":"Naira Hovakimyan","orcid":"https://orcid.org/0000-0003-3850-1073"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Naira Hovakimyan","raw_affiliation_strings":["University of Illinois Urbana-Champaign,Urbana,IL,USA,61801"],"affiliations":[{"raw_affiliation_string":"University of Illinois Urbana-Champaign,Urbana,IL,USA,61801","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037040732","display_name":"Sangjae Bae","orcid":"https://orcid.org/0000-0001-7974-8203"},"institutions":[{"id":"https://openalex.org/I4210145184","display_name":"Honda (United States)","ror":"https://ror.org/04vdmc602","country_code":"US","type":"company","lineage":["https://openalex.org/I1283473643","https://openalex.org/I4210145184"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sangjae Bae","raw_affiliation_strings":["Honda Research Institute,San Jose,CA,USA,95134"],"affiliations":[{"raw_affiliation_string":"Honda Research Institute,San Jose,CA,USA,95134","institution_ids":["https://openalex.org/I4210145184"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5043567044"],"corresponding_institution_ids":["https://openalex.org/I157725225"],"apc_list":null,"apc_paid":null,"fwci":0.2632,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.50833313,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"2070","last_page":"2077"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9976000189781189,"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/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9976000189781189,"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/T11942","display_name":"Transportation and Mobility Innovations","score":0.9961000084877014,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9725000262260437,"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/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.7797501087188721},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.728101372718811},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6416747570037842},{"id":"https://openalex.org/keywords/motion-planning","display_name":"Motion planning","score":0.4716973304748535},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.325893372297287},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22475308179855347},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.17942070960998535},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.0996522307395935}],"concepts":[{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.7797501087188721},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.728101372718811},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6416747570037842},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.4716973304748535},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.325893372297287},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22475308179855347},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.17942070960998535},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0996522307395935},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iv55156.2024.10588678","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv55156.2024.10588678","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4699999988079071,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1577668191","https://openalex.org/W1592601589","https://openalex.org/W1965455100","https://openalex.org/W2056877664","https://openalex.org/W2077831477","https://openalex.org/W2110303503","https://openalex.org/W2120600560","https://openalex.org/W2152195021","https://openalex.org/W2411577903","https://openalex.org/W2551664459","https://openalex.org/W2800727637","https://openalex.org/W2906768577","https://openalex.org/W2909414402","https://openalex.org/W2963001155","https://openalex.org/W2969442628","https://openalex.org/W2973183361","https://openalex.org/W2989680800","https://openalex.org/W2990116160","https://openalex.org/W2991589230","https://openalex.org/W3045909318","https://openalex.org/W3091516903","https://openalex.org/W3207842966","https://openalex.org/W4210422063","https://openalex.org/W4213114053","https://openalex.org/W4224300633","https://openalex.org/W4289656284","https://openalex.org/W4301501993","https://openalex.org/W4312121445","https://openalex.org/W4383109360","https://openalex.org/W4400647916","https://openalex.org/W6728155968"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W1941703695","https://openalex.org/W4248382324","https://openalex.org/W4396696052"],"abstract_inverted_index":{"This":[0],"paper":[1],"introduces":[2],"a":[3],"novel":[4],"numerical":[5,95],"approach":[6,19],"to":[7],"achieving":[8],"smooth":[9,37],"lane-change":[10],"trajectories":[11,41,72],"in":[12,94],"autonomous":[13],"driving":[14],"scenarios.":[15],"Our":[16],"trajectory":[17,32],"generation":[18,35],"leverages":[20],"particle":[21,55],"swarm":[22],"optimization":[23],"(PSO)":[24],"techniques,":[25],"incorporating":[26],"Neural":[27],"Network":[28],"(NN)":[29],"predictions":[30],"for":[31,42,60,85],"refinement.":[33],"The":[34,63,97],"of":[36,69,105],"and":[38,91,103],"dynamically":[39],"feasible":[40,71],"the":[43,101],"lane":[44,86],"change":[45],"maneuver":[46],"is":[47,67],"facilitated":[48],"by":[49],"combining":[50],"polynomial":[51],"curve":[52],"fitting":[53],"with":[54,73,81],"propagation,":[56],"which":[57],"can":[58],"account":[59],"vehicle":[61],"dynamics.":[62],"proposed":[64,107],"planning":[65],"algorithm":[66],"capable":[68],"determining":[70],"real-time":[74],"computation":[75],"capability.":[76],"We":[77],"conduct":[78],"comparative":[79],"analyses":[80],"two":[82],"baseline":[83],"methods":[84],"changing,":[87],"involving":[88],"analytic":[89],"solutions":[90],"heuristic":[92],"techniques":[93],"simulations.":[96],"simulation":[98],"results":[99],"validate":[100],"efficacy":[102],"effectiveness":[104],"our":[106],"approach.":[108]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}
