{"id":"https://openalex.org/W4415069756","doi":"https://doi.org/10.1007/s00371-025-04099-x","title":"Bidirectional enhancement and robust fusion for 3D object detection under complex lighting conditions","display_name":"Bidirectional enhancement and robust fusion for 3D object detection under complex lighting conditions","publication_year":2025,"publication_date":"2025-08-18","ids":{"openalex":"https://openalex.org/W4415069756","doi":"https://doi.org/10.1007/s00371-025-04099-x"},"language":"en","primary_location":{"id":"doi:10.1007/s00371-025-04099-x","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00371-025-04099-x","pdf_url":null,"source":{"id":"https://openalex.org/S73060445","display_name":"The Visual Computer","issn_l":"0178-2789","issn":["0178-2789","1432-2315"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Visual Computer","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/A5109798411","display_name":"Zhonghan Tao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210123940","display_name":"Ministry of Education","ror":"https://ror.org/02xv42m49","country_code":"PT","type":"government","lineage":["https://openalex.org/I4210117458","https://openalex.org/I4210123940"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Zhonghan Tao","raw_affiliation_strings":["The Key Laboratory of High-Efficiency and Clean Mechanical Manufacture, Ministry of Education, College of Mechanical Engineering, Shandong University, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Key Laboratory of High-Efficiency and Clean Mechanical Manufacture, Ministry of Education, College of Mechanical Engineering, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I4210123940"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102993434","display_name":"Youjie Zhou","orcid":"https://orcid.org/0000-0001-7188-6329"},"institutions":[{"id":"https://openalex.org/I159948400","display_name":"Jinan University","ror":"https://ror.org/02xe5ns62","country_code":"CN","type":"education","lineage":["https://openalex.org/I159948400"]},{"id":"https://openalex.org/I34949971","display_name":"University of Jinan","ror":"https://ror.org/02mjz6f26","country_code":"CN","type":"education","lineage":["https://openalex.org/I34949971"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Youjie Zhou","raw_affiliation_strings":["School of Mechanical Engineering, Jinan University, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Jinan University, Jinan, China","institution_ids":["https://openalex.org/I34949971","https://openalex.org/I159948400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100671214","display_name":"Yi Wan","orcid":"https://orcid.org/0000-0003-3325-1386"},"institutions":[{"id":"https://openalex.org/I4210123940","display_name":"Ministry of Education","ror":"https://ror.org/02xv42m49","country_code":"PT","type":"government","lineage":["https://openalex.org/I4210117458","https://openalex.org/I4210123940"]}],"countries":["PT"],"is_corresponding":true,"raw_author_name":"Yi Wan","raw_affiliation_strings":["The Key Laboratory of High-Efficiency and Clean Mechanical Manufacture, Ministry of Education, College of Mechanical Engineering, Shandong University, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Key Laboratory of High-Efficiency and Clean Mechanical Manufacture, Ministry of Education, College of Mechanical Engineering, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I4210123940"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114170178","display_name":"Xichang Liang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210123940","display_name":"Ministry of Education","ror":"https://ror.org/02xv42m49","country_code":"PT","type":"government","lineage":["https://openalex.org/I4210117458","https://openalex.org/I4210123940"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Xichang Liang","raw_affiliation_strings":["The Key Laboratory of High-Efficiency and Clean Mechanical Manufacture, Ministry of Education, College of Mechanical Engineering, Shandong University, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Key Laboratory of High-Efficiency and Clean Mechanical Manufacture, Ministry of Education, College of Mechanical Engineering, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I4210123940"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040348549","display_name":"Y. Li","orcid":"https://orcid.org/0009-0006-8813-3968"},"institutions":[{"id":"https://openalex.org/I4210123940","display_name":"Ministry of Education","ror":"https://ror.org/02xv42m49","country_code":"PT","type":"government","lineage":["https://openalex.org/I4210117458","https://openalex.org/I4210123940"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Yanan Li","raw_affiliation_strings":["The Key Laboratory of High-Efficiency and Clean Mechanical Manufacture, Ministry of Education, College of Mechanical Engineering, Shandong University, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Key Laboratory of High-Efficiency and Clean Mechanical Manufacture, Ministry of Education, College of Mechanical Engineering, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I4210123940"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100671214"],"corresponding_institution_ids":["https://openalex.org/I4210123940"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.24780829,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"41","issue":"13","first_page":"11427","last_page":"11444"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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":0.9987999796867371,"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":0.9970999956130981,"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/point-cloud","display_name":"Point cloud","score":0.6632000207901001},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6223999857902527},{"id":"https://openalex.org/keywords/pedestrian-detection","display_name":"Pedestrian detection","score":0.6098999977111816},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.564300000667572},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5238999724388123},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5180000066757202},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4284000098705292},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.4169999957084656},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.3855000138282776}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7742000222206116},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.734000027179718},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.6632000207901001},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6358000040054321},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6223999857902527},{"id":"https://openalex.org/C2780156472","wikidata":"https://www.wikidata.org/wiki/Q2355550","display_name":"Pedestrian detection","level":3,"score":0.6098999977111816},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.564300000667572},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5238999724388123},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5180000066757202},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4284000098705292},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.4169999957084656},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.3855000138282776},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.35749998688697815},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.3540000021457672},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.35199999809265137},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.35120001435279846},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.3334999978542328},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3296999931335449},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3188000023365021},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.3131999969482422},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.30660000443458557},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.30160000920295715},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.28929999470710754},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2833000123500824},{"id":"https://openalex.org/C77660652","wikidata":"https://www.wikidata.org/wiki/Q150971","display_name":"Computer graphics","level":2,"score":0.2628999948501587},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.2621999979019165},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.2533999979496002}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s00371-025-04099-x","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00371-025-04099-x","pdf_url":null,"source":{"id":"https://openalex.org/S73060445","display_name":"The Visual Computer","issn_l":"0178-2789","issn":["0178-2789","1432-2315"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Visual Computer","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5553134547","display_name":null,"funder_award_id":"No.ZR2023QE118","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"}],"funders":[{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W2115579991","https://openalex.org/W2119848633","https://openalex.org/W2555618208","https://openalex.org/W2560544142","https://openalex.org/W2897529137","https://openalex.org/W2949708697","https://openalex.org/W2963400571","https://openalex.org/W2967324759","https://openalex.org/W2968296999","https://openalex.org/W2989738721","https://openalex.org/W3017930107","https://openalex.org/W3034314779","https://openalex.org/W3035461736","https://openalex.org/W3107819843","https://openalex.org/W3108426750","https://openalex.org/W3118341329","https://openalex.org/W3130463448","https://openalex.org/W3166089996","https://openalex.org/W3171032126","https://openalex.org/W4213176388","https://openalex.org/W4312707458","https://openalex.org/W4312953085","https://openalex.org/W4316660720","https://openalex.org/W4318833281","https://openalex.org/W4362654659","https://openalex.org/W4365817417","https://openalex.org/W4367146742","https://openalex.org/W4376870884","https://openalex.org/W4383066393","https://openalex.org/W4385597521","https://openalex.org/W4385975752","https://openalex.org/W4386075636","https://openalex.org/W4386076370","https://openalex.org/W4390872227","https://openalex.org/W4390874386","https://openalex.org/W4396680601","https://openalex.org/W4399399400","https://openalex.org/W4400275465","https://openalex.org/W4401829333","https://openalex.org/W4402703030","https://openalex.org/W4402727675","https://openalex.org/W4402753960","https://openalex.org/W4403272031","https://openalex.org/W4404719654","https://openalex.org/W4405895891"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-06-13T06:13:01.061226","created_date":"2025-10-11T00:00:00"}