{"id":"https://openalex.org/W2897613683","doi":"https://doi.org/10.1109/ivs.2018.8500447","title":"Path optimization for a wheel loader considering construction site terrain","display_name":"Path optimization for a wheel loader considering construction site terrain","publication_year":2018,"publication_date":"2018-06-01","ids":{"openalex":"https://openalex.org/W2897613683","doi":"https://doi.org/10.1109/ivs.2018.8500447","mag":"2897613683"},"language":"en","primary_location":{"id":"doi:10.1109/ivs.2018.8500447","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2018.8500447","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 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/A5020273645","display_name":"Beichuan Hong","orcid":"https://orcid.org/0000-0003-4485-4019"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Beichuan Hong","raw_affiliation_strings":["Dept. of Civil and Architecture Engineering, KTH Royal Institute of Technology. Teknikringen 10, Stockholm, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Civil and Architecture Engineering, KTH Royal Institute of Technology. Teknikringen 10, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103171792","display_name":"Xiaoliang Ma","orcid":"https://orcid.org/0000-0001-5526-4511"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Xiaoliang Ma","raw_affiliation_strings":["Dept. of Civil and Architecture Engineering, KTH Royal Institute of Technology. Teknikringen 10, Stockholm, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Civil and Architecture Engineering, KTH Royal Institute of Technology. Teknikringen 10, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.106,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.46969373,"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":"2098","last_page":"2103"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9983999729156494,"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":0.9983999729156494,"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/T11978","display_name":"Soil Mechanics and Vehicle Dynamics","score":0.9333999752998352,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T10805","display_name":"Vehicle Dynamics and Control Systems","score":0.9276999831199646,"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/loader","display_name":"Loader","score":0.9844778776168823},{"id":"https://openalex.org/keywords/terrain","display_name":"Terrain","score":0.6550761461257935},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.6206337213516235},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5503095388412476},{"id":"https://openalex.org/keywords/motion-planning","display_name":"Motion planning","score":0.5185302495956421},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.49839329719543457},{"id":"https://openalex.org/keywords/vehicle-dynamics","display_name":"Vehicle dynamics","score":0.47644904255867004},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.41668421030044556},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3454165756702423},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.3286525309085846},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.28315243124961853},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.19809597730636597}],"concepts":[{"id":"https://openalex.org/C2779041774","wikidata":"https://www.wikidata.org/wiki/Q650550","display_name":"Loader","level":2,"score":0.9844778776168823},{"id":"https://openalex.org/C161840515","wikidata":"https://www.wikidata.org/wiki/Q186131","display_name":"Terrain","level":2,"score":0.6550761461257935},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.6206337213516235},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5503095388412476},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.5185302495956421},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.49839329719543457},{"id":"https://openalex.org/C79487989","wikidata":"https://www.wikidata.org/wiki/Q934680","display_name":"Vehicle dynamics","level":2,"score":0.47644904255867004},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.41668421030044556},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3454165756702423},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.3286525309085846},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.28315243124961853},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.19809597730636597},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ivs.2018.8500447","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2018.8500447","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W223311178","https://openalex.org/W1974942783","https://openalex.org/W2026037988","https://openalex.org/W2031850322","https://openalex.org/W2144966261","https://openalex.org/W2183375285","https://openalex.org/W2209316977","https://openalex.org/W2305689833","https://openalex.org/W2325038357","https://openalex.org/W2343568200","https://openalex.org/W2792438551","https://openalex.org/W6698007650","https://openalex.org/W6884948238"],"related_works":["https://openalex.org/W2365193102","https://openalex.org/W2343312170","https://openalex.org/W2392969333","https://openalex.org/W2745521454","https://openalex.org/W2380220463","https://openalex.org/W2363418592","https://openalex.org/W2077399824","https://openalex.org/W2061615910","https://openalex.org/W4285089922","https://openalex.org/W2145006118"],"abstract_inverted_index":{"Wheel":[0],"loader":[1,42,127,149],"is":[2,22,56,60,76,89,104,135],"one":[3],"of":[4,19,69,82,110,118,125,142],"the":[5,52,66,98,108,116,119,140,143,148],"most":[6],"widely":[7],"used":[8],"heavy-duty":[9],"vehicles":[10],"for":[11,24,62,146],"transporting":[12],"building":[13],"materials":[14],"in":[15,48,114,130],"construction":[16,28,49],"site.":[17],"Improvement":[18],"its":[20],"efficiency":[21],"important":[23],"sustainable":[25],"transport":[26],"and":[27,44,121],"operations.":[29],"This":[30],"paper":[31],"proposes":[32],"a":[33,80,100],"path":[34,73,150],"optimization":[35],"approach":[36,145],"that":[37],"allows":[38],"us":[39],"to":[40,96,138],"plan":[41],"trajectory":[43],"corresponding":[45],"vehicle":[46,70,87],"motions":[47,64],"site":[50],"when":[51],"topological":[53],"relief":[54],"information":[55],"available.":[57],"Vehicle":[58],"dynamics":[59,88],"modeled":[61],"3D":[63],"considering":[65],"power":[67],"balance":[68],"propulsion.":[71],"The":[72],"planning":[74],"problem":[75],"then":[77,136],"formulated":[78],"using":[79,151],"framework":[81],"constrained":[83],"optimal":[84],"control":[85],"where":[86],"incorporated":[90],"as":[91],"system":[92],"constraints.":[93],"In":[94],"order":[95],"solve":[97],"problem,":[99],"discrete":[101],"search":[102],"method":[103],"developed":[105],"based":[106],"on":[107],"principle":[109],"dynamic":[111],"programming":[112],"(DP),":[113],"which":[115],"states":[117],"forward":[120],"backward":[122],"movement":[123],"paths":[124],"wheel":[126],"are":[128],"explored":[129],"parallel.":[131],"A":[132],"numerical":[133],"study":[134],"presented":[137],"demonstrate":[139],"application":[141],"proposed":[144],"optimizing":[147],"terrain":[152],"information.":[153]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-17T06:14:20.161405","created_date":"2025-10-10T00:00:00"}