81 DAFTAR PUSTAKA Arif, A., Rafliana, I., Kodijat, A.M. and Dalimunthe, S. (2009). Limitations and Challenges of Early Warning Systems: A Case Study of the 2018 Palu- Donggala Tsunami. United Nations Office for Disaster Risk Reduction (UNDRR), Regional Office for Asia and the Pacific, and the Intergovernmental Oceanographic Commission of United Nations Educational, Scientific and Cultural Organization. (IOC Technical Series N° 150) Borrero, J. C., Sieh, K., Chlieh, M., & Synolakis, C. E. (2006). Tsunami inundation modeling for western Sumatra. Proceedings of the National Academy of Sciences,103(52),19673–19677. https://doi.org/10.1073/pnas.0604069103 Bovcon, B., & Kristan, M. (2018). Obstacle Detection for USVs by Joint Stereo- View Semantic Segmentation. 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). https://doi.org/10.1109/iros.2018.8594238 Bovcon, B., & Kristan, M. (2020). A water-obstacle separation and refinement network for unmanned surface vehicles. 2020 IEEE International Conference on Robotics and Automation (ICRA). https://doi.org/10.1109/icra40945.2020.9197194 Bovcon, B., Mandeljc, R., Pers, J., & Kristan, M. (2017). Improving vision-based obstacle detection on USV using inertial sensor. Proceedings of the 10th International Symposium on Image and Signal Processing and Analysis. https://doi.org/10.1109/ispa.2017.8073559 Bovcon, B., Mandeljc, R., Perš, J., & Kristan, M. (2018). Stereo obstacle detection for unmanned surface vehicles by IMU-assisted semantic segmentation. Robotics and Autonomous Systems, 104, 1 –13. https://doi.org/10.1016/j.robot.2018.02.017 Bovcon, B., Muhovic, J., Pers, J., & Kristan, M. (2019). The MaSTr1325 dataset for training deep USV obstacle detection models.