{"id":"https://openalex.org/W4383108458","doi":"https://doi.org/10.1109/icra48891.2023.10160849","title":"Inverse Perspective Mapping-Based Neural Occupancy Grid Map for Visual Parking","display_name":"Inverse Perspective Mapping-Based Neural Occupancy Grid Map for Visual Parking","publication_year":2023,"publication_date":"2023-05-29","ids":{"openalex":"https://openalex.org/W4383108458","doi":"https://doi.org/10.1109/icra48891.2023.10160849"},"language":"en","primary_location":{"id":"doi:10.1109/icra48891.2023.10160849","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra48891.2023.10160849","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Robotics and Automation (ICRA)","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/A5025697219","display_name":"Xiangru Mu","orcid":null},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangru Mu","raw_affiliation_strings":["Huawei Technologies,IAS BU,Shanghai,China","IAS BU, Huawei Technologies, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huawei Technologies,IAS BU,Shanghai,China","institution_ids":["https://openalex.org/I2250955327"]},{"raw_affiliation_string":"IAS BU, Huawei Technologies, Shanghai, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101780377","display_name":"Haoyang Ye","orcid":"https://orcid.org/0000-0003-1744-0902"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoyang Ye","raw_affiliation_strings":["Huawei Technologies,IAS BU,Shanghai,China","IAS BU, Huawei Technologies, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huawei Technologies,IAS BU,Shanghai,China","institution_ids":["https://openalex.org/I2250955327"]},{"raw_affiliation_string":"IAS BU, Huawei Technologies, Shanghai, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104139087","display_name":"Daojun Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Daojun Zhu","raw_affiliation_strings":["Huawei Technologies,IAS BU,Shanghai,China","IAS BU, Huawei Technologies, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huawei Technologies,IAS BU,Shanghai,China","institution_ids":["https://openalex.org/I2250955327"]},{"raw_affiliation_string":"IAS BU, Huawei Technologies, Shanghai, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101885522","display_name":"Tongqing Chen","orcid":"https://orcid.org/0009-0005-7744-1570"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tongqing Chen","raw_affiliation_strings":["Huawei Technologies,IAS BU,Shanghai,China","IAS BU, Huawei Technologies, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huawei Technologies,IAS BU,Shanghai,China","institution_ids":["https://openalex.org/I2250955327"]},{"raw_affiliation_string":"IAS BU, Huawei Technologies, Shanghai, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082261032","display_name":"Tong Qin","orcid":"https://orcid.org/0000-0002-0994-9816"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tong Qin","raw_affiliation_strings":["Huawei Technologies,IAS BU,Shanghai,China","IAS BU, Huawei Technologies, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huawei Technologies,IAS BU,Shanghai,China","institution_ids":["https://openalex.org/I2250955327"]},{"raw_affiliation_string":"IAS BU, Huawei Technologies, Shanghai, China","institution_ids":["https://openalex.org/I2250955327"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.4672,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.95239345,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"8400","last_page":"8406"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998000264167786,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9988999962806702,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9984999895095825,"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","display_name":"Occupancy","score":0.9258301258087158},{"id":"https://openalex.org/keywords/occupancy-grid-mapping","display_name":"Occupancy grid mapping","score":0.9163532257080078},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.7319638133049011},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7163143157958984},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5744735598564148},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.5696399211883545},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.5652612447738647},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5428661108016968},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4256824254989624},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.42069047689437866},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.190431147813797},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.17971664667129517},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12747162580490112}],"concepts":[{"id":"https://openalex.org/C160331591","wikidata":"https://www.wikidata.org/wiki/Q7075743","display_name":"Occupancy","level":2,"score":0.9258301258087158},{"id":"https://openalex.org/C57077369","wikidata":"https://www.wikidata.org/wiki/Q7075747","display_name":"Occupancy grid mapping","level":4,"score":0.9163532257080078},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.7319638133049011},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7163143157958984},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5744735598564148},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.5696399211883545},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.5652612447738647},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5428661108016968},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4256824254989624},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.42069047689437866},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.190431147813797},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.17971664667129517},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12747162580490112},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.0},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"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/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icra48891.2023.10160849","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra48891.2023.10160849","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W170770739","https://openalex.org/W1970504153","https://openalex.org/W2016479423","https://openalex.org/W2061482346","https://openalex.org/W2108803008","https://openalex.org/W2120322874","https://openalex.org/W2130422193","https://openalex.org/W2200660157","https://openalex.org/W2296228853","https://openalex.org/W2411093439","https://openalex.org/W2471969791","https://openalex.org/W2535547924","https://openalex.org/W2560023338","https://openalex.org/W2745859992","https://openalex.org/W2886934227","https://openalex.org/W2889822862","https://openalex.org/W2909908358","https://openalex.org/W2916798096","https://openalex.org/W2919379406","https://openalex.org/W2963499229","https://openalex.org/W2963637946","https://openalex.org/W2967044683","https://openalex.org/W2981207549","https://openalex.org/W2989135423","https://openalex.org/W3034429256","https://openalex.org/W3043971245","https://openalex.org/W3091667825","https://openalex.org/W3100046297","https://openalex.org/W3102327032","https://openalex.org/W3102330937","https://openalex.org/W3131641033","https://openalex.org/W3162167837","https://openalex.org/W3207930315","https://openalex.org/W4285205931","https://openalex.org/W4312894406","https://openalex.org/W4319300075","https://openalex.org/W6754123467","https://openalex.org/W6754239853","https://openalex.org/W6769296940","https://openalex.org/W6810797210","https://openalex.org/W6811079899"],"related_works":["https://openalex.org/W4282043467","https://openalex.org/W4319317934","https://openalex.org/W2162255319","https://openalex.org/W3033776171","https://openalex.org/W1999050017","https://openalex.org/W5037887","https://openalex.org/W4229444815","https://openalex.org/W4293877624","https://openalex.org/W1992005931","https://openalex.org/W4200216229"],"abstract_inverted_index":{"Sensing":[0],"environmental":[1],"obstacles":[2],"and":[3,90,129,142],"establishing":[4],"an":[5],"occupancy":[6,27,58,82,103,140,146],"map":[7,147],"of":[8,53,101,123,148],"surroundings":[9],"are":[10],"critical":[11],"to":[12,24,43,68,73,97],"achieving":[13],"automated":[14],"parking":[15,130],"for":[16,93],"autonomous":[17],"vehicles.":[18],"This":[19,35],"paper":[20],"presents":[21],"a":[22,45,64,70,144],"method":[23,36,85,110,135],"obtain":[25],"surrounding":[26,102,139],"information":[28,141],"from":[29,41,105],"inverse":[30],"perspective":[31],"mapping":[32],"(IPM)":[33],"images.":[34],"uses":[37],"the":[38,94,98,121,149],"easily-accessed":[39],"pseudo-labels":[40],"LiDAR":[42,106],"supervise":[44],"visual":[46,57,116],"network,":[47],"which":[48,118],"can":[49,136],"detect":[50],"occupied":[51],"boundaries":[52],"obstacles.":[54],"Fusing":[55],"this":[56],"with":[59,79,114],"ego-motion":[60],"information,":[61],"we":[62],"develop":[63],"multi-frame":[65],"fusion":[66],"approach":[67],"build":[69,143],"local":[71],"OGM":[72],"realize":[74],"online":[75],"environment":[76,95],"mapping.":[77],"Compared":[78],"other":[80],"learning-based":[81],"approaches,":[83],"our":[84,134],"does":[86],"not":[87],"require":[88],"time-consuming":[89],"labor-intensive":[91],"labeling":[92],"due":[96],"ground":[99],"truth":[100],"coming":[104],"easily.":[107],"The":[108],"proposed":[109],"achieves":[111],"LiDAR-like":[112],"performance":[113],"pure":[115],"inputs,":[117],"greatly":[119],"decreases":[120],"cost":[122],"real":[124],"products.":[125],"Experiments":[126],"on":[127],"driving":[128],"environments":[131],"prove":[132],"that":[133],"accurately":[137],"sense":[138],"robust":[145],"environment.":[150]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
