108343 20220519113700.0 doi 10.5220/0010610703300337 sideral 124899 ART-2021-124899 eng Alonso, Iñigo Universidad de Zaragoza (orcid)0000-0003-4638-4655 Domain Adaptation in LiDAR Semantic Segmentation by Aligning Class Distributions 2021 Access copy available to the general public Unrestricted LiDAR semantic segmentation provides 3D semantic information about the environment, an essential cue for intelligent systems, such as autonomous vehicles, during their decision making processes. Unfortunately, the annotation process for this task is very expensive. To overcome this, it is key to find models that generalize well or adapt to additional domains where labeled data is limited. This work addresses the problem of unsupervised domain adaptation for LiDAR semantic segmentation models. We propose simple but effective strategies to reduce the domain shift by aligning the data distribution on the input space. Besides, we present a learning-based module to align the distribution of the semantic classes of the target domain to the source domain. Our approach achieves new state-of-the-art results on three different public datasets, which showcase adaptation to three different domains. info:eu-repo/semantics/openAccess by-nc-nd http://creativecommons.org/licenses/by-nc-nd/3.0/es/ info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Riazuelo, Luis Universidad de Zaragoza (orcid)0000-0002-6722-5541 Montesano, Luis Universidad de Zaragoza (orcid)0000-0003-1183-349X Murillo, Ana Cristina Universidad de Zaragoza (orcid)0000-0002-7580-9037 5007 520 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Ingen.Sistemas y Automát. 5007 570 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Lenguajes y Sistemas Inf. 18 (2021), 330-337 Proc. (Int. Asia Conf. Inform. Control, Autom., Robot.) Proceedings (International Asia Conference on Informatics in Control, Automation, and Robotics) 1948-3414 4894939 http://zaguan.unizar.es/record/108343/files/texto_completo.pdf Versión publicada 2383956 http://zaguan.unizar.es/record/108343/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:108343 articulos driver 2022-05-19-11:22:23 ARTICLE