{"id":"https://openalex.org/W7167939785","doi":"https://doi.org/10.1016/j.eswa.2026.133611","title":"Robust collision prediction neural network based on \u03b7-form perceptron against visual variability","display_name":"Robust collision prediction neural network based on \u03b7-form perceptron against visual variability","publication_year":2026,"publication_date":"2026-07-10","ids":{"openalex":"https://openalex.org/W7167939785","doi":"https://doi.org/10.1016/j.eswa.2026.133611"},"language":"en","primary_location":{"id":"doi:10.1016/j.eswa.2026.133611","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.eswa.2026.133611","pdf_url":null,"source":{"id":"https://openalex.org/S13144211","display_name":"Expert Systems with Applications","issn_l":"0957-4174","issn":["0957-4174","1873-6793"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Expert Systems with Applications","raw_type":"journal-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/A5136212555","display_name":"Yi Zheng","orcid":"https://orcid.org/0000-0002-1815-672X"},"institutions":[{"id":"https://openalex.org/I4210129938","display_name":"Guangzhou Maritime College","ror":"https://ror.org/03kzcrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210129938"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Zheng","raw_affiliation_strings":["School of Arts and Sciences, Guangzhou Maritime University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-5088-0689","affiliations":[{"raw_affiliation_string":"School of Arts and Sciences, Guangzhou Maritime University, Guangzhou, China","institution_ids":["https://openalex.org/I4210129938"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5140423251","display_name":"Hao Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Chen","raw_affiliation_strings":["School of Mathematics, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101942463","display_name":"Yusi Wang","orcid":"https://orcid.org/0000-0002-7694-8987"},"institutions":[{"id":"https://openalex.org/I4210104252","display_name":"Air Force Engineering University","ror":"https://ror.org/00seraz22","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210104252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yusi Wang","raw_affiliation_strings":["Fundamentals Department, Air Force Engineering University, Xi\u2019an, China"],"raw_orcid":"https://orcid.org/0000-0002-7694-8987","affiliations":[{"raw_affiliation_string":"Fundamentals Department, Air Force Engineering University, Xi\u2019an, China","institution_ids":["https://openalex.org/I4210104252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100342508","display_name":"Haiyang Li","orcid":"https://orcid.org/0000-0001-7238-2456"},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiyang Li","raw_affiliation_strings":["Machine Life and Intelligence Research Centre, Guangzhou University, Guangzhou, China","School of Mathematics and Information Science, Guangzhou University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Machine Life and Intelligence Research Centre, Guangzhou University, Guangzhou, China","institution_ids":["https://openalex.org/I37987034"]},{"raw_affiliation_string":"School of Mathematics and Information Science, Guangzhou University, Guangzhou, China","institution_ids":["https://openalex.org/I37987034"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003653964","display_name":"Jigen Peng","orcid":"https://orcid.org/0000-0002-7207-3183"},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jigen Peng","raw_affiliation_strings":["Machine Life and Intelligence Research Centre, Guangzhou University, Guangzhou, China","School of Mathematics and Information Science, Guangzhou University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Machine Life and Intelligence Research Centre, Guangzhou University, Guangzhou, China","institution_ids":["https://openalex.org/I37987034"]},{"raw_affiliation_string":"School of Mathematics and Information Science, Guangzhou University, Guangzhou, China","institution_ids":["https://openalex.org/I37987034"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5003653964"],"corresponding_institution_ids":["https://openalex.org/I37987034"],"apc_list":{"value":3220,"currency":"USD","value_usd":3220},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.88536961,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"332","issue":null,"first_page":"133611","last_page":"133611"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.5424000024795532,"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":0.5424000024795532,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.08049999922513962,"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/T13382","display_name":"Robotics and Automated Systems","score":0.032099999487400055,"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/collision-avoidance","display_name":"Collision avoidance","score":0.7831000089645386},{"id":"https://openalex.org/keywords/collision","display_name":"Collision","score":0.6151000261306763},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5875999927520752},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5774000287055969},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.555899977684021},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.3813999891281128},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.37560001015663147},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.3562000095844269}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7831000089645386},{"id":"https://openalex.org/C2780864053","wikidata":"https://www.wikidata.org/wiki/Q5147495","display_name":"Collision avoidance","level":3,"score":0.7831000089645386},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6682999730110168},{"id":"https://openalex.org/C121704057","wikidata":"https://www.wikidata.org/wiki/Q352070","display_name":"Collision","level":2,"score":0.6151000261306763},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5875999927520752},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5774000287055969},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.555899977684021},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4860999882221222},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.3813999891281128},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.37560001015663147},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.3562000095844269},{"id":"https://openalex.org/C2777016798","wikidata":"https://www.wikidata.org/wiki/Q2001988","display_name":"Collision avoidance system","level":4,"score":0.34529998898506165},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.3402000069618225},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33709999918937683},{"id":"https://openalex.org/C2780330621","wikidata":"https://www.wikidata.org/wiki/Q7936609","display_name":"Visual modeling","level":4,"score":0.3292999863624573},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.32519999146461487},{"id":"https://openalex.org/C199668693","wikidata":"https://www.wikidata.org/wiki/Q1550329","display_name":"Collision detection","level":3,"score":0.3061999976634979},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3000999987125397},{"id":"https://openalex.org/C2986089797","wikidata":"https://www.wikidata.org/wiki/Q6501338","display_name":"Visual attention","level":3,"score":0.2667999863624573},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.2524999976158142},{"id":"https://openalex.org/C29825287","wikidata":"https://www.wikidata.org/wiki/Q1427940","display_name":"Warning system","level":2,"score":0.2524000108242035}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.eswa.2026.133611","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.eswa.2026.133611","pdf_url":null,"source":{"id":"https://openalex.org/S13144211","display_name":"Expert Systems with Applications","issn_l":"0957-4174","issn":["0957-4174","1873-6793"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Expert Systems with Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335568","display_name":"International Cooperation and Exchange Programme","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1826686012","https://openalex.org/W1975147998","https://openalex.org/W2020134397","https://openalex.org/W2022095435","https://openalex.org/W2050303485","https://openalex.org/W2074421072","https://openalex.org/W2111880621","https://openalex.org/W2280498916","https://openalex.org/W2523902637","https://openalex.org/W2579865090","https://openalex.org/W2734448826","https://openalex.org/W2768029819","https://openalex.org/W2784579114","https://openalex.org/W2800226686","https://openalex.org/W2803982628","https://openalex.org/W2922120529","https://openalex.org/W2953712016","https://openalex.org/W2964536243","https://openalex.org/W2980991344","https://openalex.org/W2990230838","https://openalex.org/W3014101816","https://openalex.org/W3035258881","https://openalex.org/W4226214254","https://openalex.org/W4382203474","https://openalex.org/W4386458477","https://openalex.org/W4387339426","https://openalex.org/W4387451492","https://openalex.org/W4400158385","https://openalex.org/W4403062868"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-07-17T05:52:16.776730","created_date":"2026-07-11T00:00:00"}
