{"id":"https://openalex.org/W4225863254","doi":"https://doi.org/10.1109/icra46639.2022.9811664","title":"Pedestrian Stop and Go Forecasting with Hybrid Feature Fusion","display_name":"Pedestrian Stop and Go Forecasting with Hybrid Feature Fusion","publication_year":2022,"publication_date":"2022-05-23","ids":{"openalex":"https://openalex.org/W4225863254","doi":"https://doi.org/10.1109/icra46639.2022.9811664"},"language":"en","primary_location":{"id":"doi:10.1109/icra46639.2022.9811664","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra46639.2022.9811664","pdf_url":null,"source":{"id":"https://openalex.org/S4363607759","display_name":"2022 International Conference on Robotics and Automation (ICRA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"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":"2022 International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://github.com/vita-epfl/hybrid-feature-fusion","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001551765","display_name":"Dongxu Guo","orcid":"https://orcid.org/0000-0003-3697-6913"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Dongxu Guo","raw_affiliation_strings":["Ecole Polytechnique F&#x00E9;d&#x00E9;rale de Lausanne (EPFL), Visual Intelligence for Transportation (VITA),Lausanne,Switzerland,CH-1015"],"affiliations":[{"raw_affiliation_string":"Ecole Polytechnique F&#x00E9;d&#x00E9;rale de Lausanne (EPFL), Visual Intelligence for Transportation (VITA),Lausanne,Switzerland,CH-1015","institution_ids":["https://openalex.org/I5124864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009010754","display_name":"Taylor Mordan","orcid":"https://orcid.org/0000-0002-4775-9239"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Taylor Mordan","raw_affiliation_strings":["Ecole Polytechnique F&#x00E9;d&#x00E9;rale de Lausanne (EPFL), Visual Intelligence for Transportation (VITA),Lausanne,Switzerland,CH-1015"],"affiliations":[{"raw_affiliation_string":"Ecole Polytechnique F&#x00E9;d&#x00E9;rale de Lausanne (EPFL), Visual Intelligence for Transportation (VITA),Lausanne,Switzerland,CH-1015","institution_ids":["https://openalex.org/I5124864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068504559","display_name":"Alexandre Alahi","orcid":"https://orcid.org/0000-0002-5004-1498"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Alexandre Alahi","raw_affiliation_strings":["Ecole Polytechnique F&#x00E9;d&#x00E9;rale de Lausanne (EPFL), Visual Intelligence for Transportation (VITA),Lausanne,Switzerland,CH-1015"],"affiliations":[{"raw_affiliation_string":"Ecole Polytechnique F&#x00E9;d&#x00E9;rale de Lausanne (EPFL), Visual Intelligence for Transportation (VITA),Lausanne,Switzerland,CH-1015","institution_ids":["https://openalex.org/I5124864"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5001551765"],"corresponding_institution_ids":["https://openalex.org/I5124864"],"apc_list":null,"apc_paid":null,"fwci":1.5173,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.83825918,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"940","last_page":"947"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9988999962806702,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9979000091552734,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.80472731590271},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.7611846923828125},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6863585114479065},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6737260818481445},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5915310978889465},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5803834199905396},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.47809144854545593},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.45895370841026306},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.41725224256515503},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10425543785095215},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.08333790302276611}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.80472731590271},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.7611846923828125},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6863585114479065},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6737260818481445},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5915310978889465},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5803834199905396},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.47809144854545593},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.45895370841026306},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.41725224256515503},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10425543785095215},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.08333790302276611},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icra46639.2022.9811664","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra46639.2022.9811664","pdf_url":null,"source":{"id":"https://openalex.org/S4363607759","display_name":"2022 International Conference on Robotics and Automation (ICRA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"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":"2022 International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"},{"id":"pmh:oai:infoscience.epfl.ch:292556","is_oa":true,"landing_page_url":"https://github.com/vita-epfl/hybrid-feature-fusion","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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 proceedings"}],"best_oa_location":{"id":"pmh:oai:infoscience.epfl.ch:292556","is_oa":true,"landing_page_url":"https://github.com/vita-epfl/hybrid-feature-fusion","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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 proceedings"},"sustainable_development_goals":[{"score":0.8399999737739563,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320915","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":65,"referenced_works":["https://openalex.org/W1482283643","https://openalex.org/W1522301498","https://openalex.org/W1522734439","https://openalex.org/W1598796236","https://openalex.org/W1980985548","https://openalex.org/W1983364832","https://openalex.org/W2004641798","https://openalex.org/W2016053056","https://openalex.org/W2031638733","https://openalex.org/W2065042410","https://openalex.org/W2105101328","https://openalex.org/W2106549235","https://openalex.org/W2130942839","https://openalex.org/W2142943472","https://openalex.org/W2156303437","https://openalex.org/W2167052694","https://openalex.org/W2194775991","https://openalex.org/W2424778531","https://openalex.org/W2522471310","https://openalex.org/W2561603333","https://openalex.org/W2565986202","https://openalex.org/W2771583656","https://openalex.org/W2793807616","https://openalex.org/W2795410839","https://openalex.org/W2807456624","https://openalex.org/W2810931617","https://openalex.org/W2894666173","https://openalex.org/W2896127393","https://openalex.org/W2905513778","https://openalex.org/W2962687116","https://openalex.org/W2963001155","https://openalex.org/W2963150697","https://openalex.org/W2963570630","https://openalex.org/W2963935518","https://openalex.org/W2968684599","https://openalex.org/W2990699998","https://openalex.org/W2991484432","https://openalex.org/W3003987610","https://openalex.org/W3035172263","https://openalex.org/W3097237405","https://openalex.org/W3111881137","https://openalex.org/W3113370935","https://openalex.org/W3115517346","https://openalex.org/W3119162847","https://openalex.org/W3155186850","https://openalex.org/W3177182010","https://openalex.org/W3182910206","https://openalex.org/W3190699669","https://openalex.org/W4214555767","https://openalex.org/W4287778673","https://openalex.org/W4313296443","https://openalex.org/W4385245566","https://openalex.org/W6628597257","https://openalex.org/W6631190155","https://openalex.org/W6635679246","https://openalex.org/W6679436768","https://openalex.org/W6682864246","https://openalex.org/W6727190014","https://openalex.org/W6739901393","https://openalex.org/W6776598532","https://openalex.org/W6777617355","https://openalex.org/W6778059963","https://openalex.org/W6780489777","https://openalex.org/W6786504190","https://openalex.org/W6787254463"],"related_works":["https://openalex.org/W2392100589","https://openalex.org/W2512789322","https://openalex.org/W2378211422","https://openalex.org/W2101960027","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W2197846993","https://openalex.org/W1976827262","https://openalex.org/W49697837","https://openalex.org/W3122828758"],"abstract_inverted_index":{"Forecasting":[0],"pedestrians'":[1,115],"future":[2],"motions":[3],"is":[4],"essential":[5],"for":[6,86,93,172],"autonomous":[7],"driving":[8],"systems":[9],"to":[10,29,57,120,152,175],"safely":[11],"navigate":[12],"in":[13,103,118],"urban":[14,104],"areas.":[15],"However,":[16],"existing":[17,84,111],"prediction":[18,63],"algorithms":[19],"often":[20],"overly":[21],"rely":[22],"on":[23,165,177],"past":[24],"observed":[25],"trajectories":[26],"and":[27,76,98,124,136,145,148,162,167,180],"tend":[28],"fail":[30],"around":[31],"abrupt":[32],"dynamic":[33],"changes,":[34],"such":[35],"as":[36],"when":[37],"pedestrians":[38,102],"suddenly":[39],"start":[40],"or":[41],"stop":[42,75,97,179],"walking.":[43],"We":[44,106,126,158],"suggest":[45],"that":[46,133],"predicting":[47],"these":[48],"highly":[49],"non-linear":[50],"transitions":[51],"should":[52],"form":[53],"a":[54,91,129,169],"core":[55],"component":[56],"improve":[58],"the":[59,70,80,96,173],"robustness":[60],"of":[61,73,82,101,156],"motion":[62],"algorithms.":[64],"In":[65],"this":[66],"paper,":[67],"we":[68,88],"introduce":[69],"new":[71,170],"task":[72],"pedestrian":[74,178],"go":[77,99,181],"forecasting.":[78,182],"Considering":[79],"lack":[81],"suitable":[83],"datasets":[85,112],"it,":[87],"release":[89],"TRANS,":[90,166],"benchmark":[92,171],"explicitly":[94],"studying":[95],"behaviors":[100],"traffic.":[105],"build":[107],"it":[108],"from":[109,139],"several":[110,140,163],"annotated":[113],"with":[114],"walking":[116],"motions,":[117],"order":[119],"have":[121],"various":[122],"scenarios":[123],"behaviors.":[125],"also":[127],"propose":[128],"novel":[130],"hybrid":[131],"model":[132,161],"leverages":[134],"pedestrian-specific":[135],"scene":[137],"features":[138],"modalities,":[141],"both":[142],"video":[143],"sequences":[144],"high-level":[146],"attributes,":[147],"gradually":[149],"fuses":[150],"them":[151],"integrate":[153],"multiple":[154],"levels":[155],"context.":[157],"evaluate":[159],"our":[160],"baselines":[164],"set":[168],"community":[174],"work":[176]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
