{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,29]],"date-time":"2026-07-29T14:44:07Z","timestamp":1785336247738,"version":"3.55.0"},"reference-count":54,"publisher":"MDPI AG","issue":"13","license":[{"start":{"date-parts":[[2022,7,5]],"date-time":"2022-07-05T00:00:00Z","timestamp":1656979200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100000780","name":"European Union","doi-asserted-by":"publisher","award":["688652"],"award-info":[{"award-number":["688652"]}],"id":[{"id":"10.13039\/501100000780","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000780","name":"European Union","doi-asserted-by":"publisher","award":["PN-III-P4-ID-PCCF-2016-0180"],"award-info":[{"award-number":["PN-III-P4-ID-PCCF-2016-0180"]}],"id":[{"id":"10.13039\/501100000780","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100005802","name":"Romanian Ministry of Education and Research","doi-asserted-by":"publisher","award":["688652"],"award-info":[{"award-number":["688652"]}],"id":[{"id":"10.13039\/501100005802","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100005802","name":"Romanian Ministry of Education and Research","doi-asserted-by":"publisher","award":["PN-III-P4-ID-PCCF-2016-0180"],"award-info":[{"award-number":["PN-III-P4-ID-PCCF-2016-0180"]}],"id":[{"id":"10.13039\/501100005802","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Environment perception remains one of the key tasks in autonomous driving for which solutions have yet to reach maturity. Multi-modal approaches benefit from the complementary physical properties specific to each sensor technology used, boosting overall performance. The added complexity brought on by data fusion processes is not trivial to solve, with design decisions heavily influencing the balance between quality and latency of the results. In this paper we present our novel real-time, 360\u2218 enhanced perception component based on low-level fusion between geometry provided by the LiDAR-based 3D point clouds and semantic scene information obtained from multiple RGB cameras, of multiple types. This multi-modal, multi-sensor scheme enables better range coverage, improved detection and classification quality with increased robustness. Semantic, instance and panoptic segmentations of 2D data are computed using efficient deep-learning-based algorithms, while 3D point clouds are segmented using a fast, traditional voxel-based solution. Finally, the fusion obtained through point-to-image projection yields a semantically enhanced 3D point cloud that allows enhanced perception through 3D detection refinement and 3D object classification. The planning and control systems of the vehicle receives the individual sensors\u2019 perception together with the enhanced one, as well as the semantically enhanced 3D points. The developed perception solutions are successfully integrated onto an autonomous vehicle software stack, as part of the UP-Drive project.<\/jats:p>","DOI":"10.3390\/s22135061","type":"journal-article","created":{"date-parts":[[2022,7,6]],"date-time":"2022-07-06T21:15:52Z","timestamp":1657142152000},"page":"5061","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":29,"title":["Enhanced Perception for Autonomous Driving Using Semantic and Geometric Data Fusion"],"prefix":"10.3390","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0502-360X","authenticated-orcid":false,"given":"Horatiu","family":"Florea","sequence":"first","affiliation":[{"name":"Image Processing and Pattern Recognition Research Center, Computer Science Department, Technical University of Cluj-Napoca, 400114 Cluj-Napoca, Romania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4036-6336","authenticated-orcid":false,"given":"Andra","family":"Petrovai","sequence":"additional","affiliation":[{"name":"Image Processing and Pattern Recognition Research Center, Computer Science Department, Technical University of Cluj-Napoca, 400114 Cluj-Napoca, Romania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2925-3194","authenticated-orcid":false,"given":"Ion","family":"Giosan","sequence":"additional","affiliation":[{"name":"Image Processing and Pattern Recognition Research Center, Computer Science Department, Technical University of Cluj-Napoca, 400114 Cluj-Napoca, Romania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4875-2220","authenticated-orcid":false,"given":"Florin","family":"Oniga","sequence":"additional","affiliation":[{"name":"Image Processing and Pattern Recognition Research Center, Computer Science Department, Technical University of Cluj-Napoca, 400114 Cluj-Napoca, Romania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9167-0178","authenticated-orcid":false,"given":"Robert","family":"Varga","sequence":"additional","affiliation":[{"name":"Image Processing and Pattern Recognition Research Center, Computer Science Department, Technical University of Cluj-Napoca, 400114 Cluj-Napoca, Romania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2018-4647","authenticated-orcid":false,"given":"Sergiu","family":"Nedevschi","sequence":"additional","affiliation":[{"name":"Image Processing and Pattern Recognition Research Center, Computer Science Department, Technical University of Cluj-Napoca, 400114 Cluj-Napoca, Romania"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2022,7,5]]},"reference":[{"key":"ref_1","unstructured":"(2022, June 08). 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