{"id":"https://openalex.org/W3210266276","doi":"https://doi.org/10.1109/itsc48978.2021.9564907","title":"RA-GAT: Repulsion and Attraction Graph Attention for Trajectory Prediction","display_name":"RA-GAT: Repulsion and Attraction Graph Attention for Trajectory Prediction","publication_year":2021,"publication_date":"2021-09-19","ids":{"openalex":"https://openalex.org/W3210266276","doi":"https://doi.org/10.1109/itsc48978.2021.9564907","mag":"3210266276"},"language":"en","primary_location":{"id":"doi:10.1109/itsc48978.2021.9564907","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc48978.2021.9564907","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Intelligent Transportation Systems Conference (ITSC)","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/A5038297262","display_name":"Zhezhang Ding","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhezhang Ding","raw_affiliation_strings":["Key Lab of Machine Perception (MOE), Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Lab of Machine Perception (MOE), Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051940016","display_name":"Ziyang Yao","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziyang Yao","raw_affiliation_strings":["Key Lab of Machine Perception (MOE), Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Lab of Machine Perception (MOE), Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060007938","display_name":"Huijing Zhao","orcid":"https://orcid.org/0000-0001-9245-3039"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huijing Zhao","raw_affiliation_strings":["Key Lab of Machine Perception (MOE), Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Lab of Machine Perception (MOE), Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"734","last_page":"741"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9998000264167786,"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":0.9998000264167786,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9753999710083008,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9733999967575073,"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/trajectory","display_name":"Trajectory","score":0.7668850421905518},{"id":"https://openalex.org/keywords/attraction","display_name":"Attraction","score":0.7200444340705872},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6411459445953369},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6228919625282288},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.5800914168357849},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5796167850494385},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.4466340243816376},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3600626587867737},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.24428606033325195}],"concepts":[{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.7668850421905518},{"id":"https://openalex.org/C2778364177","wikidata":"https://www.wikidata.org/wiki/Q2247133","display_name":"Attraction","level":2,"score":0.7200444340705872},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6411459445953369},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6228919625282288},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.5800914168357849},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5796167850494385},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.4466340243816376},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3600626587867737},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.24428606033325195},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","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/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc48978.2021.9564907","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc48978.2021.9564907","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Intelligent Transportation Systems Conference (ITSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1533861849","https://openalex.org/W2054161738","https://openalex.org/W2055501135","https://openalex.org/W2097545165","https://openalex.org/W2344985987","https://openalex.org/W2424778531","https://openalex.org/W2514762535","https://openalex.org/W2519887557","https://openalex.org/W2607296803","https://openalex.org/W2905224888","https://openalex.org/W2940129212","https://openalex.org/W2953920792","https://openalex.org/W2963309363","https://openalex.org/W2963858333","https://openalex.org/W2963906196","https://openalex.org/W2964015378","https://openalex.org/W2964193755","https://openalex.org/W2971323980","https://openalex.org/W2989851631","https://openalex.org/W2995962413","https://openalex.org/W2997958396","https://openalex.org/W3022265613","https://openalex.org/W3113900352","https://openalex.org/W4297733535","https://openalex.org/W6631943919","https://openalex.org/W6726873649","https://openalex.org/W6757374366","https://openalex.org/W6770253621"],"related_works":["https://openalex.org/W4386786398","https://openalex.org/W2138293586","https://openalex.org/W4282832460","https://openalex.org/W4319783074","https://openalex.org/W4255464147","https://openalex.org/W2080052720","https://openalex.org/W1503179180","https://openalex.org/W4319778501","https://openalex.org/W2171384148","https://openalex.org/W2021797003"],"abstract_inverted_index":{"Precise":[0],"trajectory":[1],"prediction":[2,41,124],"in":[3,58,61],"complex":[4],"driving":[5],"scenarios":[6],"is":[7,75],"crucial":[8],"for":[9],"autonomous":[10,16],"vehicles.":[11],"To":[12],"achieve":[13],"so,":[14],"the":[15,22,29,33,46,50,87,95,106,111,114,123,127],"vehicle":[17],"has":[18],"to":[19,77,109,121],"effectively":[20],"model":[21,78,129],"interactions":[23],"between":[24],"surrounding":[25,84],"vehicles":[26,63,85],"and":[27,49,64,80,86,98],"consider":[28],"environmental":[30],"information":[31],"at":[32],"same":[34],"time.":[35],"This":[36],"research":[37],"proposes":[38],"a":[39,54,70],"unified":[40],"framework":[42],"that":[43],"simultaneously":[44],"models":[45],"vehicle-vehicle":[47],"interaction":[48],"vehicle-environment":[51],"relation.":[52],"With":[53],"heuristic":[55],"scene":[56,100],"representation":[57],"graph":[59,72],"structure":[60],"which":[62],"spaces":[65],"are":[66,92,103,119],"modeled":[67],"as":[68],"nodes,":[69],"dual":[71],"attention":[73],"module":[74],"adopted":[76],"repulsion":[79],"attraction":[81],"respectively":[82],"from":[83],"non-vehicle":[88],"spaces.":[89],"Deterministic":[90],"trajectories":[91],"predicted":[93],"using":[94],"updated":[96],"repulsion-":[97],"attraction-aware":[99],"encodings.":[101],"Experiments":[102],"conducted":[104],"on":[105],"NGSIM":[107],"dataset":[108],"show":[110],"effectiveness":[112],"of":[113,126],"proposed":[115,128],"framework.":[116],"Maneuver-based":[117],"statistics":[118],"collected":[120],"analyze":[122],"ability":[125],"facing":[130],"different":[131],"maneuver":[132],"trajectories.":[133]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
