{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,10,24]],"date-time":"2023-10-24T05:21:58Z","timestamp":1698124918724},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643684482","type":"print"},{"value":"9781643684499","type":"electronic"}],"license":[{"start":{"date-parts":[[2023,10,19]],"date-time":"2023-10-19T00:00:00Z","timestamp":1697673600000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,10,19]]},"abstract":"<jats:p>Semantic segmentation of LiDAR point clouds has received significant attention due to its applications in autonomous driving, forestry, and urban planning. Despite their potential, accurately classifying three-dimensional points remains a significant challenge due to the irregular distribution of data and density variation. To address this, state-of-the-art approaches use various techniques, such as voxelization, point-based networks, and graph-based methods. However, these techniques have limitations regarding the point cloud size they can handle and can be computationally expensive. Therefore, in this work, we propose a method to process point clouds of different scales and densities for point classification.<\/jats:p>","DOI":"10.3233\/faia230670","type":"book-chapter","created":{"date-parts":[[2023,10,23]],"date-time":"2023-10-23T08:14:29Z","timestamp":1698048869000},"source":"Crossref","is-referenced-by-count":0,"title":["Addressing Scale and Density Challenges in LiDAR Point Classification"],"prefix":"10.3233","author":[{"given":"Mariona","family":"Car\u00f3s","sequence":"first","affiliation":[{"name":"Departament de Matem\u00e0tiques i Inform\u00e0tica, Universitat de Barcelona (UB), Gran Via Corts Catalanes, 585, 08007 Barcelona, Spain"}]},{"given":"Ariadna","family":"Just","sequence":"additional","affiliation":[{"name":"Institut Cartogr\u00e0fic i Geol\u00f2gic de Catalunya, Barcelona, Spain"}]},{"given":"Santi","family":"Segu\u00ed","sequence":"additional","affiliation":[{"name":"Departament de Matem\u00e0tiques i Inform\u00e0tica, Universitat de Barcelona (UB), Gran Via Corts Catalanes, 585, 08007 Barcelona, Spain"}]},{"given":"Jordi","family":"Vitri\u00e0","sequence":"additional","affiliation":[{"name":"Departament de Matem\u00e0tiques i Inform\u00e0tica, Universitat de Barcelona (UB), Gran Via Corts Catalanes, 585, 08007 Barcelona, Spain"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Artificial Intelligence Research and Development"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA230670","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,23]],"date-time":"2023-10-23T08:14:30Z","timestamp":1698048870000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA230670"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,19]]},"ISBN":["9781643684482","9781643684499"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia230670","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,10,19]]}}}