{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,10]],"date-time":"2026-07-10T09:15:53Z","timestamp":1783674953919,"version":"3.55.0"},"publisher-location":"New York, NY, USA","reference-count":8,"publisher":"ACM","license":[{"start":{"date-parts":[[2026,5,19]],"date-time":"2026-05-19T00:00:00Z","timestamp":1779148800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2026,5,19]]},"DOI":"10.1145\/3801488.3806233","type":"proceedings-article","created":{"date-parts":[[2026,7,10]],"date-time":"2026-07-10T08:40:14Z","timestamp":1783672814000},"page":"113-116","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["An Ethernet-Integrated Accelerator for On-the-Fly Spherical-to-Cartesian LiDAR   Coordinates Conversion"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-1165-4275","authenticated-orcid":false,"given":"Massimo","family":"Micolitti","sequence":"first","affiliation":[{"name":"University of Bologna, Bologna, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-3593-520X","authenticated-orcid":false,"given":"Alina","family":"Zmeu","sequence":"additional","affiliation":[{"name":"University of Bologna, Bologna, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-3574-7576","authenticated-orcid":false,"given":"Alessandro","family":"Nadalini","sequence":"additional","affiliation":[{"name":"University of Bologna, Bologna, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7924-933X","authenticated-orcid":false,"given":"Francesco","family":"Conti","sequence":"additional","affiliation":[{"name":"University of Bologna, Bologna, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5700-5342","authenticated-orcid":false,"given":"Simone","family":"Benatti","sequence":"additional","affiliation":[{"name":"University of Modena and Reggio Emilia, Modena, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7495-6895","authenticated-orcid":false,"given":"Angelo","family":"Garofalo","sequence":"additional","affiliation":[{"name":"University of Bologna, Bologna, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2026,7,10]]},"reference":[{"key":"e_1_3_3_2_2_2","doi-asserted-by":"crossref","unstructured":"T. An et\u00a0al. 2025. Hardware Acceleration of Real-Time LiDAR Packet Decoding and Reconstruction via Parallelism. IEEE Embedded Systems Letters (2025) 1\u20131. doi:10.1109\/LES.2025.3632806","DOI":"10.1109\/LES.2025.3632806"},{"key":"e_1_3_3_2_3_2","doi-asserted-by":"crossref","unstructured":"D. Cassanelli et\u00a0al. 2024. A simple experimental method to estimate and benchmark automotive LIDARs performance in fog. Acta IMEKO 13 4 (2024) 1\u20138.","DOI":"10.21014\/actaimeko.v13i4.1885"},{"key":"e_1_3_3_2_4_2","doi-asserted-by":"crossref","unstructured":"L. Cunha et\u00a0al. 2022. Hardware-accelerated data decoding and reconstruction for automotive LiDAR sensors. IEEE Transactions on Vehicular Technology 72 4 (2022) 4267\u20134276.","DOI":"10.1109\/TVT.2022.3223231"},{"key":"e_1_3_3_2_5_2","doi-asserted-by":"crossref","unstructured":"Y. Fan et\u00a0al. 2019. Efficient CORDIC iteration design of LiDAR sensors\u2019 point-cloud map reconstruction technology. Sensors 19 24 (2019) 5412.","DOI":"10.3390\/s19245412"},{"key":"e_1_3_3_2_6_2","doi-asserted-by":"crossref","unstructured":"A. Garofalo et\u00a0al. 2025. A Reliable Time-Predictable Heterogeneous SoC for AI-Enhanced Mixed-Criticality Edge Applications. IEEE Transactions on Circuits and Systems II: Express Briefs 72 11 (2025) 1625\u20131629. doi:10.1109\/TCSII.2025.3591225","DOI":"10.1109\/TCSII.2025.3591225"},{"key":"e_1_3_3_2_7_2","doi-asserted-by":"publisher","DOI":"10.1145\/3637543.3652881"},{"key":"e_1_3_3_2_8_2","unstructured":"Tao Yang. 2022. 3D ToF LiDAR in mobile robotics: A review. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2202.11025 (2022)."},{"key":"e_1_3_3_2_9_2","doi-asserted-by":"crossref","unstructured":"Z. Yaniv. 2010. Random sample consensus (RANSAC) algorithm a generic implementation. Imaging (2010).","DOI":"10.54294\/ia6mzx"}],"event":{"name":"CF '26 Companion: 23rd ACM International Conference on Computing Frontiers","location":"Catania Italy","acronym":"CF '26 Companion","sponsor":["SIGMICRO ACM Special Interest Group on Microarchitectural Research and Processing"]},"container-title":["Proceedings of the 23rd ACM International Conference on Computing Frontiers: Workshops and Special Sessions"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3801488.3806233","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,10]],"date-time":"2026-07-10T08:40:42Z","timestamp":1783672842000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3801488.3806233"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,5,19]]},"references-count":8,"alternative-id":["10.1145\/3801488.3806233","10.1145\/3801488"],"URL":"https:\/\/doi.org\/10.1145\/3801488.3806233","relation":{},"subject":[],"published":{"date-parts":[[2026,5,19]]},"assertion":[{"value":"2026-07-10","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}