{"id":"https://openalex.org/W3120114748","doi":"https://doi.org/10.1109/iv47402.2020.9304749","title":"Open Experimental AGV Platform for Dynamic Obstacle Avoidance in Narrow Corridors","display_name":"Open Experimental AGV Platform for Dynamic Obstacle Avoidance in Narrow Corridors","publication_year":2020,"publication_date":"2020-10-19","ids":{"openalex":"https://openalex.org/W3120114748","doi":"https://doi.org/10.1109/iv47402.2020.9304749","mag":"3120114748"},"language":"en","primary_location":{"id":"doi:10.1109/iv47402.2020.9304749","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv47402.2020.9304749","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Intelligent Vehicles Symposium (IV)","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/A5081550003","display_name":"Sam Weckx","orcid":"https://orcid.org/0000-0001-6983-495X"},"institutions":[{"id":"https://openalex.org/I4210116480","display_name":"Flanders Make (Belgium)","ror":"https://ror.org/02ndjfz59","country_code":"BE","type":"company","lineage":["https://openalex.org/I4210116480"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Sam Weckx","raw_affiliation_strings":["Core Lab MotionS, Flanders Make, Lommel, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Core Lab MotionS, Flanders Make, Lommel, Belgium","institution_ids":["https://openalex.org/I4210116480"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077559629","display_name":"Bastiaan Vandewal","orcid":"https://orcid.org/0000-0001-6539-4985"},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Bastiaan Vandewal","raw_affiliation_strings":["MECO Research Team, KU Leuven, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MECO Research Team, KU Leuven, Belgium","institution_ids":["https://openalex.org/I99464096"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080032846","display_name":"Erwin Rademakers","orcid":"https://orcid.org/0000-0003-3024-3700"},"institutions":[{"id":"https://openalex.org/I4210116480","display_name":"Flanders Make (Belgium)","ror":"https://ror.org/02ndjfz59","country_code":"BE","type":"company","lineage":["https://openalex.org/I4210116480"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Erwin Rademakers","raw_affiliation_strings":["Core Lab MotionS, Flanders Make, Lommel, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Core Lab MotionS, Flanders Make, Lommel, Belgium","institution_ids":["https://openalex.org/I4210116480"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000819709","display_name":"Karel Janssen","orcid":null},"institutions":[{"id":"https://openalex.org/I4210116480","display_name":"Flanders Make (Belgium)","ror":"https://ror.org/02ndjfz59","country_code":"BE","type":"company","lineage":["https://openalex.org/I4210116480"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Karel Janssen","raw_affiliation_strings":["Core Lab DecisionS, Flanders Make, Lommel, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Core Lab DecisionS, Flanders Make, Lommel, Belgium","institution_ids":["https://openalex.org/I4210116480"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039428744","display_name":"Kurt Geebelen","orcid":"https://orcid.org/0000-0001-9184-0491"},"institutions":[{"id":"https://openalex.org/I4210116480","display_name":"Flanders Make (Belgium)","ror":"https://ror.org/02ndjfz59","country_code":"BE","type":"company","lineage":["https://openalex.org/I4210116480"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Kurt Geebelen","raw_affiliation_strings":["Core Lab DecisionS, Flanders Make, Lommel, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Core Lab DecisionS, Flanders Make, Lommel, Belgium","institution_ids":["https://openalex.org/I4210116480"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025771795","display_name":"Jia Wan","orcid":"https://orcid.org/0000-0001-5531-9068"},"institutions":[{"id":"https://openalex.org/I4210116480","display_name":"Flanders Make (Belgium)","ror":"https://ror.org/02ndjfz59","country_code":"BE","type":"company","lineage":["https://openalex.org/I4210116480"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Jia Wan","raw_affiliation_strings":["Core Lab DecisionS, Flanders Make, Lommel, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Core Lab DecisionS, Flanders Make, Lommel, Belgium","institution_ids":["https://openalex.org/I4210116480"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071550534","display_name":"Roeland De Geest","orcid":"https://orcid.org/0000-0003-4897-7921"},"institutions":[{"id":"https://openalex.org/I4210116480","display_name":"Flanders Make (Belgium)","ror":"https://ror.org/02ndjfz59","country_code":"BE","type":"company","lineage":["https://openalex.org/I4210116480"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Roeland De Geest","raw_affiliation_strings":["Core Lab DecisionS, Flanders Make, Lommel, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Core Lab DecisionS, Flanders Make, Lommel, Belgium","institution_ids":["https://openalex.org/I4210116480"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046396028","display_name":"Harold Perik","orcid":null},"institutions":[{"id":"https://openalex.org/I4210116480","display_name":"Flanders Make (Belgium)","ror":"https://ror.org/02ndjfz59","country_code":"BE","type":"company","lineage":["https://openalex.org/I4210116480"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Harold Perik","raw_affiliation_strings":["Core Lab DecisionS, Flanders Make, Lommel, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Core Lab DecisionS, Flanders Make, Lommel, Belgium","institution_ids":["https://openalex.org/I4210116480"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057319283","display_name":"Joris Gillis","orcid":"https://orcid.org/0000-0002-6774-3613"},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Joris Gillis","raw_affiliation_strings":["MECO Research Team, KU Leuven, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MECO Research Team, KU Leuven, Belgium","institution_ids":["https://openalex.org/I99464096"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021674650","display_name":"Jan Swevers","orcid":"https://orcid.org/0000-0003-2034-5519"},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Jan Swevers","raw_affiliation_strings":["MECO Research Team, KU Leuven, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MECO Research Team, KU Leuven, Belgium","institution_ids":["https://openalex.org/I99464096"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044221147","display_name":"Ellen van Nunen","orcid":"https://orcid.org/0000-0003-0813-1489"},"institutions":[{"id":"https://openalex.org/I4210116480","display_name":"Flanders Make (Belgium)","ror":"https://ror.org/02ndjfz59","country_code":"BE","type":"company","lineage":["https://openalex.org/I4210116480"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Ellen van Nunen","raw_affiliation_strings":["Core Lab MotionS, Flanders Make, Lommel, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Core Lab MotionS, Flanders Make, Lommel, Belgium","institution_ids":["https://openalex.org/I4210116480"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4272,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.70094541,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"844","last_page":"851"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9997000098228455,"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":0.9997000098228455,"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/T11814","display_name":"Advanced Manufacturing and Logistics Optimization","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T11615","display_name":"Control and Dynamics of Mobile Robots","score":0.9876999855041504,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/obstacle","display_name":"Obstacle","score":0.7112879753112793},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.7008072137832642},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6548000574111938},{"id":"https://openalex.org/keywords/obstacle-avoidance","display_name":"Obstacle avoidance","score":0.6508903503417969},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.5148738622665405},{"id":"https://openalex.org/keywords/model-predictive-control","display_name":"Model predictive control","score":0.5139510035514832},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.4874303638935089},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.4833250045776367},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.478128582239151},{"id":"https://openalex.org/keywords/motion-planning","display_name":"Motion planning","score":0.43010038137435913},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.42373770475387573},{"id":"https://openalex.org/keywords/collision-avoidance","display_name":"Collision avoidance","score":0.4192350506782532},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.3768020570278168},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.25162598490715027},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.20159563422203064},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.17538303136825562},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17441150546073914},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.15655770897865295},{"id":"https://openalex.org/keywords/collision","display_name":"Collision","score":0.12931355834007263},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.093651682138443}],"concepts":[{"id":"https://openalex.org/C2776650193","wikidata":"https://www.wikidata.org/wiki/Q264661","display_name":"Obstacle","level":2,"score":0.7112879753112793},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.7008072137832642},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6548000574111938},{"id":"https://openalex.org/C6683253","wikidata":"https://www.wikidata.org/wiki/Q7075535","display_name":"Obstacle avoidance","level":4,"score":0.6508903503417969},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5148738622665405},{"id":"https://openalex.org/C172205157","wikidata":"https://www.wikidata.org/wiki/Q1782962","display_name":"Model predictive control","level":3,"score":0.5139510035514832},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.4874303638935089},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.4833250045776367},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.478128582239151},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.43010038137435913},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.42373770475387573},{"id":"https://openalex.org/C2780864053","wikidata":"https://www.wikidata.org/wiki/Q5147495","display_name":"Collision avoidance","level":3,"score":0.4192350506782532},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3768020570278168},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.25162598490715027},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20159563422203064},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.17538303136825562},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17441150546073914},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.15655770897865295},{"id":"https://openalex.org/C121704057","wikidata":"https://www.wikidata.org/wiki/Q352070","display_name":"Collision","level":2,"score":0.12931355834007263},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.093651682138443},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iv47402.2020.9304749","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv47402.2020.9304749","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.41999998688697815,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W208810166","https://openalex.org/W1582919213","https://openalex.org/W2000359213","https://openalex.org/W2006524841","https://openalex.org/W2099893201","https://openalex.org/W2115969888","https://openalex.org/W2612519851","https://openalex.org/W2749468379","https://openalex.org/W2753710570","https://openalex.org/W2767609945","https://openalex.org/W2769000175","https://openalex.org/W2976431926","https://openalex.org/W2983886045","https://openalex.org/W3100222164","https://openalex.org/W6608437852"],"related_works":["https://openalex.org/W2930076404","https://openalex.org/W4253519380","https://openalex.org/W2071957557","https://openalex.org/W2596413128","https://openalex.org/W4391249562","https://openalex.org/W2356867392","https://openalex.org/W2913749762","https://openalex.org/W2321940404","https://openalex.org/W2782776446","https://openalex.org/W3043170174"],"abstract_inverted_index":{"Automated":[0],"Guided":[1],"Vehicles":[2],"(AGVs)":[3],"are":[4,165,204],"a":[5,40,58,128,154,159,192,221],"promising":[6],"solution":[7],"to":[8,66,69,77,101,112,141,220,236],"automation":[9],"in":[10,43,108,206,225],"the":[11,123,137,142,178,187,199,237],"view":[12],"of":[13,18,45,97,180,189,191,227],"Industry":[14],"4.0.":[15],"The":[16,36,87,171,215],"amount":[17],"goods":[19],"that":[20,146],"can":[21,25,150],"be":[22,26,67,151],"automatically":[23],"transported":[24],"further":[27],"increased":[28],"by":[29,83,177],"efficient":[30],"path":[31,60],"planning":[32,61],"and":[33,48,62,73,105,202],"tracking":[34,63],"methods.":[35],"efficiency":[37],"is":[38,75,89,106,133,175,230],"always":[39],"trade":[41],"off":[42],"terms":[44,226],"cost,":[46],"accuracy":[47],"flexibility,":[49],"but":[50,229],"should":[51],"never":[52],"influence":[53,188],"safety.":[54],"This":[55],"paper":[56],"proposes":[57],"flexible":[59],"solution,":[64],"aiming":[65],"applicable":[68,100],"several":[70],"application":[71],"domains,":[72],"which":[74,118,135],"able":[76],"dynamically":[78],"avoid":[79],"an":[80,84,113,147,168,181],"(unforeseen)":[81],"obstacle":[82,182],"overtake":[85],"manoeuvre.":[86,184],"approach":[88,132],"based":[90,212],"on":[91,167,231],"Model":[92],"Predictive":[93],"Control":[94],"(MPC),":[95],"consisting":[96],"multi-domain":[98],"objectives,":[99],"multiple":[102,115],"vehicle":[103],"models":[104],"fast":[107],"calculation":[109],"time":[110,125],"due":[111],"adjusted":[114],"shooting":[116],"approach,":[117],"guarantees":[119],"constraint":[120,140],"satisfaction":[121],"over":[122],"entire":[124],"domain.":[126],"Further,":[127],"dynamic":[129],"maximum":[130,138],"velocity":[131,139],"proposed,":[134],"adapts":[136],"environmental":[143],"circumstances,":[144],"such":[145],"emergency":[148],"brake":[149],"applied":[152],"if":[153],"human":[155],"would":[156],"appear":[157],"behind":[158],"corner":[160],"or":[161],"obstacle.":[162],"These":[163],"algorithms":[164,201],"implemented":[166],"autonomous":[169],"forklift.":[170],"overall":[172],"system":[173],"performance":[174],"measured":[176],"time-of-arrival":[179],"avoidance":[183],"To":[185],"evaluate":[186],"usage":[190],"low-cost":[193],"ultra":[194],"wideband":[195],"(UWB)":[196],"localization":[197,213],"technology,":[198],"same":[200],"platforms":[203],"used":[205],"combination":[207],"with":[208],"standard":[209],"off-the-shelf":[210],"laser":[211],"technology.":[214],"UWB":[216],"technology":[217],"does":[218],"lead":[219],"slightly":[222],"larger":[223],"spread":[224],"time-of-arrival,":[228],"average":[232],"very":[233],"much":[234],"comparable":[235],"laser-based":[238],"setup.":[239]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
