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Regazzoni, \"Learning 3D LiDAR Perception Models for Self-Aware Autonomous Systems,\" 2024 27th International Conference\non Information Fusion (FUSION), Venice, Italy, 2024, pp. 1-8, https:\/\/dx.doi.org\/10.23919\/FUSION59988.2024.10706364.","DOI":"10.23919\/FUSION59988.2024.10706364"},{"key":"ref4","unstructured":"https:\/\/www.bayesserver.com\/docs\/techniques\/anomaly-detection\/"},{"key":"ref5","doi-asserted-by":"publisher","unstructured":"\u00d6. G\u00fcltekin, E. Cinar, K. \u00d6zkan, and A. Yaz\u0131c\u0131, \u201cMultisensory data\nfusion-based deep learning approach for fault diagnosis of an industrial\nautonomous transfer vehicle,\u201d Expert Systems with Applications, vol.\n200, p. 117055, Aug. 15, 2022, https:\/\/doi.org\/10.1016\/j.eswa.2022.117055.","DOI":"10.1016\/j.eswa.2022.117055"},{"key":"ref6","doi-asserted-by":"publisher","unstructured":"Q. Shi and H. Zhang, \"Fault Diagnosis of an Autonomous Vehicle With\nan Improved SVM Algorithm Subject to Unbalanced Datasets,\" in IEEE\nTransactions on Industrial Electronics, vol. 68, no. 7, pp. 6248-6256,\nJuly 2021, https:\/\/doi.org\/10.1109\/TIE.2020.2994868.","DOI":"10.1109\/TIE.2020.2994868"},{"key":"ref7","doi-asserted-by":"publisher","unstructured":"Pratama, P.S., Gulakari, A.V., Setiawan, Y.D. et al. Trajectory tracking\nand fault detection algorithm for automatic guided vehicle based on\nmultiple positioning modules. Int. J. Control Autom. Syst. 14, 400\u2013410\n(2016), https:\/\/doi.org\/10.1007\/s12555-014-0294-y","DOI":"10.1007\/s12555-014-0294-y"},{"key":"ref8","doi-asserted-by":"publisher","unstructured":"Abci, B., El Badaoui El Najjar, M., Cocquempot, V. et al. An informational approach for sensor and actuator fault diagnosis for autonomous mobile robots. 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Multisensory Data-Based\nFault Diagnosis of Induction Motors Using 1D and 2D Convolutional\nNeural Networks. In: Ball, A.D., Ouyang, H., Sinha, J.K., Wang, Z.\n(eds) Proceedings of the UNIfied Conference of DAMAS, IncoME and\nTEPEN Conferences (UNIfied 2023). TEPEN IncoME-V DAMAS 2023\n2023 2023. Mechanisms and Machine Science, vol 152. 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