{"id":"https://openalex.org/W4389077672","doi":"https://doi.org/10.1109/sensors56945.2023.10325050","title":"LiDAR-Based Occupancy Grid Map Estimation Exploiting Spatial Sparsity","display_name":"LiDAR-Based Occupancy Grid Map Estimation Exploiting Spatial Sparsity","publication_year":2023,"publication_date":"2023-10-29","ids":{"openalex":"https://openalex.org/W4389077672","doi":"https://doi.org/10.1109/sensors56945.2023.10325050"},"language":"en","primary_location":{"id":"doi:10.1109/sensors56945.2023.10325050","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sensors56945.2023.10325050","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE SENSORS","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://repository.tudelft.nl/file/File_169bf540-99f8-46a0-8cee-7f8106e3d0b8","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5093357973","display_name":"\u00c7a\u011fan \u00d6nen","orcid":"https://orcid.org/0009-0006-3569-2037"},"institutions":[{"id":"https://openalex.org/I109147379","display_name":"NXP (Netherlands)","ror":"https://ror.org/059be4e97","country_code":"NL","type":"company","lineage":["https://openalex.org/I109147379"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"\u00c7a\u011fan \u00d6nen","raw_affiliation_strings":["NXP Semiconductors,Eindhoven,Netherlands","NXP Semiconductors, Eindhoven, Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NXP Semiconductors,Eindhoven,Netherlands","institution_ids":["https://openalex.org/I109147379"]},{"raw_affiliation_string":"NXP Semiconductors, Eindhoven, Netherlands","institution_ids":["https://openalex.org/I109147379"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039977183","display_name":"Ashish Pandharipande","orcid":"https://orcid.org/0000-0002-7920-3964"},"institutions":[{"id":"https://openalex.org/I109147379","display_name":"NXP (Netherlands)","ror":"https://ror.org/059be4e97","country_code":"NL","type":"company","lineage":["https://openalex.org/I109147379"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Ashish Pandharipande","raw_affiliation_strings":["NXP Semiconductors,Eindhoven,Netherlands","NXP Semiconductors, Eindhoven, Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NXP Semiconductors,Eindhoven,Netherlands","institution_ids":["https://openalex.org/I109147379"]},{"raw_affiliation_string":"NXP Semiconductors, Eindhoven, Netherlands","institution_ids":["https://openalex.org/I109147379"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012419698","display_name":"Geethu Joseph","orcid":"https://orcid.org/0000-0002-5289-5403"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Geethu Joseph","raw_affiliation_strings":["Delft University of Technology,2628CD Delft,Netherlands","Delft University of Technology, 2628CD Delft, Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Delft University of Technology,2628CD Delft,Netherlands","institution_ids":["https://openalex.org/I98358874"]},{"raw_affiliation_string":"Delft University of Technology, 2628CD Delft, Netherlands","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038300385","display_name":"Nitin Jonathan Myers","orcid":"https://orcid.org/0000-0002-5681-819X"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Nitin Jonathan Myers","raw_affiliation_strings":["Delft University of Technology,2628CD Delft,Netherlands","Delft University of Technology, 2628CD Delft, Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Delft University of Technology,2628CD Delft,Netherlands","institution_ids":["https://openalex.org/I98358874"]},{"raw_affiliation_string":"Delft University of Technology, 2628CD Delft, Netherlands","institution_ids":["https://openalex.org/I98358874"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4855,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.73391419,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.996999979019165,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.996999979019165,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9921000003814697,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/occupancy-grid-mapping","display_name":"Occupancy grid mapping","score":0.9153783321380615},{"id":"https://openalex.org/keywords/occupancy","display_name":"Occupancy","score":0.7913654446601868},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.7309430241584778},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6778960227966309},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.6104977130889893},{"id":"https://openalex.org/keywords/grid-cell","display_name":"Grid cell","score":0.4553622603416443},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3575359880924225},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35564202070236206},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.18905583024024963},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.08926180005073547},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0837101936340332},{"id":"https://openalex.org/keywords/geodesy","display_name":"Geodesy","score":0.07757756114006042}],"concepts":[{"id":"https://openalex.org/C57077369","wikidata":"https://www.wikidata.org/wiki/Q7075747","display_name":"Occupancy grid mapping","level":4,"score":0.9153783321380615},{"id":"https://openalex.org/C160331591","wikidata":"https://www.wikidata.org/wiki/Q7075743","display_name":"Occupancy","level":2,"score":0.7913654446601868},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.7309430241584778},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6778960227966309},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.6104977130889893},{"id":"https://openalex.org/C2983008078","wikidata":"https://www.wikidata.org/wiki/Q863495","display_name":"Grid cell","level":3,"score":0.4553622603416443},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3575359880924225},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35564202070236206},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.18905583024024963},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.08926180005073547},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0837101936340332},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.07757756114006042},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/sensors56945.2023.10325050","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sensors56945.2023.10325050","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE SENSORS","raw_type":"proceedings-article"},{"id":"pmh:oai:tudelft.nl:uuid:25d7b30d-2303-4a04-9e5b-af7a2ce8414e","is_oa":true,"landing_page_url":"http://resolver.tudelft.nl/uuid:25d7b30d-2303-4a04-9e5b-af7a2ce8414e","pdf_url":"https://repository.tudelft.nl/file/File_169bf540-99f8-46a0-8cee-7f8106e3d0b8","source":{"id":"https://openalex.org/S4306400906","display_name":"Research Repository (Delft University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98358874","host_organization_name":"Delft University of Technology","host_organization_lineage":["https://openalex.org/I98358874"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"conference paper"}],"best_oa_location":{"id":"pmh:oai:tudelft.nl:uuid:25d7b30d-2303-4a04-9e5b-af7a2ce8414e","is_oa":true,"landing_page_url":"http://resolver.tudelft.nl/uuid:25d7b30d-2303-4a04-9e5b-af7a2ce8414e","pdf_url":"https://repository.tudelft.nl/file/File_169bf540-99f8-46a0-8cee-7f8106e3d0b8","source":{"id":"https://openalex.org/S4306400906","display_name":"Research Repository (Delft University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98358874","host_organization_name":"Delft University of Technology","host_organization_lineage":["https://openalex.org/I98358874"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"conference paper"},"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.47999998927116394}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4389077672.pdf","grobid_xml":"https://content.openalex.org/works/W4389077672.grobid-xml"},"referenced_works_count":12,"referenced_works":["https://openalex.org/W1977189000","https://openalex.org/W1999050017","https://openalex.org/W2065367157","https://openalex.org/W2071282831","https://openalex.org/W2118016294","https://openalex.org/W2489868330","https://openalex.org/W2738569225","https://openalex.org/W3035574168","https://openalex.org/W4315607667","https://openalex.org/W4362009298","https://openalex.org/W4391936225","https://openalex.org/W6861900471"],"related_works":["https://openalex.org/W1999050017","https://openalex.org/W5037887","https://openalex.org/W4229444815","https://openalex.org/W4293877624","https://openalex.org/W3033776171","https://openalex.org/W2771645251","https://openalex.org/W3121103700","https://openalex.org/W2162255319","https://openalex.org/W2004240842","https://openalex.org/W1538887534"],"abstract_inverted_index":{"The":[0,56],"problem":[1,21],"of":[2],"estimating":[3],"occupancy":[4,26,32,50],"grids":[5],"to":[6,64],"support":[7],"automotive":[8],"driving":[9],"applications":[10],"using":[11],"LiDAR":[12,53],"sensor":[13,54],"point":[14],"clouds":[15],"is":[16,36],"considered.":[17],"We":[18],"formulate":[19],"the":[20,45,76],"as":[22,69],"a":[23],"sparse":[24,40],"binary":[25],"value":[27],"reconstruction":[28],"problem.":[29],"Our":[30],"proposed":[31,57],"grid":[33],"estimation":[34],"method":[35,58],"based":[37],"on":[38,73],"pattern-coupled":[39],"Bayesian":[41],"learning":[42],"and":[43,48],"exploits":[44],"inherent":[46],"sparsity":[47],"spatial":[49],"dependencies":[51],"in":[52],"measurements.":[55],"demonstrates":[59],"enhanced":[60],"detection":[61],"capabilities":[62],"compared":[63],"commonly":[65],"used":[66],"benchmark":[67],"methods,":[68],"observed":[70],"through":[71],"testing":[72],"scenes":[74],"from":[75],"nuScenes":[77],"dataset.":[78]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
