{"id":"https://openalex.org/W4319869565","doi":"https://doi.org/10.1007/978-3-031-22025-8_8","title":"PointPillars Backbone Type Selection for Fast and Accurate LiDAR Object Detection","display_name":"PointPillars Backbone Type Selection for Fast and Accurate LiDAR Object Detection","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4319869565","doi":"https://doi.org/10.1007/978-3-031-22025-8_8"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-031-22025-8_8","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-22025-8_8","pdf_url":null,"source":{"id":"https://openalex.org/S4210169156","display_name":"Lecture notes in networks and systems","issn_l":"2367-3370","issn":["2367-3370","2367-3389"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319972","host_organization_name":"Springer International Publishing","host_organization_lineage":["https://openalex.org/P4310319972","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer International Publishing","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Networks and Systems","raw_type":"book-chapter"},"type":"book-chapter","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/A5079604407","display_name":"Konrad Lis","orcid":"https://orcid.org/0000-0003-2034-0590"},"institutions":[{"id":"https://openalex.org/I686019","display_name":"AGH University of Krakow","ror":"https://ror.org/00bas1c41","country_code":"PL","type":"education","lineage":["https://openalex.org/I686019"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Konrad Lis","raw_affiliation_strings":["Embedded Vision Systems Group, Computer Vision Laboratory, Department of Automatic Control and Robotics, AGH University of Science and Technology, Al. Mickiewicza 30, 30-059, Krakow, Poland"],"raw_orcid":"https://orcid.org/0000-0003-2034-0590","affiliations":[{"raw_affiliation_string":"Embedded Vision Systems Group, Computer Vision Laboratory, Department of Automatic Control and Robotics, AGH University of Science and Technology, Al. Mickiewicza 30, 30-059, Krakow, Poland","institution_ids":["https://openalex.org/I686019"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005086061","display_name":"Tomasz Kryjak","orcid":"https://orcid.org/0000-0001-6798-4444"},"institutions":[{"id":"https://openalex.org/I686019","display_name":"AGH University of Krakow","ror":"https://ror.org/00bas1c41","country_code":"PL","type":"education","lineage":["https://openalex.org/I686019"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Tomasz Kryjak","raw_affiliation_strings":["Embedded Vision Systems Group, Computer Vision Laboratory, Department of Automatic Control and Robotics, AGH University of Science and Technology, Al. Mickiewicza 30, 30-059, Krakow, Poland"],"raw_orcid":"https://orcid.org/0000-0001-6798-4444","affiliations":[{"raw_affiliation_string":"Embedded Vision Systems Group, Computer Vision Laboratory, Department of Automatic Control and Robotics, AGH University of Science and Technology, Al. Mickiewicza 30, 30-059, Krakow, Poland","institution_ids":["https://openalex.org/I686019"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5005086061"],"corresponding_institution_ids":["https://openalex.org/I686019"],"apc_list":null,"apc_paid":null,"fwci":1.5768,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.86632186,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"99","last_page":"119"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":1.0,"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":1.0,"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":0.9959999918937683,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.989300012588501,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.7928981781005859},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.7651067972183228},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7423832416534424},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.7390745878219604},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7106214165687561},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.6083711385726929},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.511662483215332},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.47473272681236267},{"id":"https://openalex.org/keywords/viola\u2013jones-object-detection-framework","display_name":"Viola\u2013Jones object detection framework","score":0.435962975025177},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.42641955614089966},{"id":"https://openalex.org/keywords/backbone-network","display_name":"Backbone network","score":0.4175834059715271},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36407405138015747},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3518308997154236},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.23597490787506104},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.22876301407814026},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.17289072275161743},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.15855085849761963},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09475314617156982},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.0803491473197937}],"concepts":[{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.7928981781005859},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.7651067972183228},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7423832416534424},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.7390745878219604},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7106214165687561},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.6083711385726929},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.511662483215332},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.47473272681236267},{"id":"https://openalex.org/C182521987","wikidata":"https://www.wikidata.org/wiki/Q2493877","display_name":"Viola\u2013Jones object detection framework","level":5,"score":0.435962975025177},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.42641955614089966},{"id":"https://openalex.org/C88796919","wikidata":"https://www.wikidata.org/wiki/Q1142907","display_name":"Backbone network","level":2,"score":0.4175834059715271},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36407405138015747},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3518308997154236},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.23597490787506104},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.22876301407814026},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.17289072275161743},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.15855085849761963},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09475314617156982},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0803491473197937},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-031-22025-8_8","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-22025-8_8","pdf_url":null,"source":{"id":"https://openalex.org/S4210169156","display_name":"Lecture notes in networks and systems","issn_l":"2367-3370","issn":["2367-3370","2367-3389"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319972","host_organization_name":"Springer International Publishing","host_organization_lineage":["https://openalex.org/P4310319972","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer International Publishing","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Networks and Systems","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.550000011920929,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W2115579991","https://openalex.org/W2193145675","https://openalex.org/W2194775991","https://openalex.org/W2531409750","https://openalex.org/W2549139847","https://openalex.org/W2570343428","https://openalex.org/W2872491670","https://openalex.org/W2883780447","https://openalex.org/W2897529137","https://openalex.org/W2949708697","https://openalex.org/W2962697884","https://openalex.org/W2963037989","https://openalex.org/W2963120444","https://openalex.org/W2963125010","https://openalex.org/W2963163009","https://openalex.org/W2963727135","https://openalex.org/W2964081807","https://openalex.org/W2964350391","https://openalex.org/W2968296999","https://openalex.org/W2982083293","https://openalex.org/W3034314779","https://openalex.org/W3034971973","https://openalex.org/W3035172746","https://openalex.org/W3035574168","https://openalex.org/W3106250896","https://openalex.org/W3126163744","https://openalex.org/W3167095230","https://openalex.org/W3180134609","https://openalex.org/W3201537664","https://openalex.org/W3217335336","https://openalex.org/W4200502809","https://openalex.org/W4249235023","https://openalex.org/W4285071856","https://openalex.org/W6600741150","https://openalex.org/W6604344240"],"related_works":["https://openalex.org/W3160582076","https://openalex.org/W3204852000","https://openalex.org/W2965402078","https://openalex.org/W2963251476","https://openalex.org/W4297797959","https://openalex.org/W4297491714","https://openalex.org/W4256727525","https://openalex.org/W4387272257","https://openalex.org/W3108847140","https://openalex.org/W4200612475"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2026-01-21T23:30:37.877113","created_date":"2025-10-10T00:00:00"}
