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All issues Volume 417 (2025) MATEC Web Conf., 417 (2025) 10002 References
Open Access
Issue
MATEC Web Conf.
Volume 417, 2025
2025 RAPDASA-RobMech-PRASA-AMI Conference: Bridging the Gap between Industry & Academia - The 26th Annual International RAPDASA Conference, joined by RobMech, PRASA and AMI, co-hosted by CSIR and Tshwane University of Technology, Pretoria
Article Number 10002
Number of page(s) 15
Section Pattern Recognition
DOI https://doi.org/10.1051/matecconf/202541710002
Published online 25 November 2025
  1. X. Chen, Y. Liu, K. Achuthan, WODIS: Water Obstacle Detection Network Based on Image Segmentation for Autonomous Surface Vehicles in Maritime Environments. IEEE Trans. Instrum. Meas. 70, 1–13 (2021). https://doi.org/10.1109/TIM.2021.3092070 [Google Scholar]
  2. P. J. Landrigan, J. J. Stegeman, L. E. Fleming, D. Allemand, A. N. Anthoni et al., Human Health and Ocean Pollution. Ann. Glob. Health 86, 151 (2020). https://doi.org/10.5334/aogh.2831 [Google Scholar]
  3. H. R. Lim, K. S. Khoo, K. W. Chew, M. Y. M. Teo, T. C. Ling, S. Alharthi et al., Evaluation of Real-Time Monitoring on the Growth of Spirulina Microalgae: Internet-of-Things and Microalgae Technologies. IEEE Internet Things J. 11, 3274–3281 (2024). https://doi.org/10.1109/JIOT.2023.3296525 [Google Scholar]
  4. E. T. Steimle, M. L. Hall, Unmanned Surface Vehicles as Environmental Monitoring and Assessment Tools. Proc. OCEANS 2006 – Asia Pacific, 1–5 (2006). https://doi.org/10.1109/OCEANS.2006.306949 [Google Scholar]
  5. J. Mendoza-Chok, J. C. C. Luque, N. F. Salas-Cueva, D. Yanyachi, P. R. Yanyachi, Hybrid Control Architecture of an Unmanned Surface Vehicle Used for Water Quality Monitoring. IEEE Access 10, 112789–112798 (2022). https://doi.org/10.1109/ACCESS.2022.3216563 [Google Scholar]
  6. J. Y. Zhuang, L. Zhang, S. Q. Zhao, J. Cao, B. Wang, H. B. Sun, Radar-Based Collision Avoidance for Unmanned Surface Vehicles. China Ocean Eng. 30, 867–883 (2016). https://doi.org/10.1007/s13344-016-0056-0 [Google Scholar]
  7. H. Mousazadeh, H. Jafarbiglu, H. Abdolmaleki, E. Omrani, F. Monhaseri et al., Developing a Navigation, Guidance and Obstacle Avoidance Algorithm for an Unmanned Surface Vehicle (USV) by Algorithms Fusion. Ocean Eng. 159, 56–65 (2018). https://doi.org/10.1016/j.oceaneng.2018.04.018 [Google Scholar]
  8. P. Paccaud, D. A. Barry, Obstacle Detection for Lake-Deployed Autonomous Surface Vehicles Using RGB Imagery. PLoS ONE 13, e0205319 (2018). https://doi.org/10.1371/journal.pone.0205319 [Google Scholar]
  9. B. Bovcon, R. Mandeljc, J. Perš, M. Kristan, Stereo Obstacle Detection for Unmanned Surface Vehicles by IMU-Assisted Semantic Segmentation. Robot. Auton. Syst. 104, 1–13 (2018). https://doi.org/10.1016/j.robot.2018.02.017 [Google Scholar]
  10. M. J. Bebianno, C. G. Pereira, F. Rey, A. Cravo, D. Duarte, G. D’Errico, F. Regoli, Integrated Approach to Assess Ecosystem Health in Harbor Areas. Sci. Total Environ. 514, 92–107 (2015). https://doi.org/10.1016/j.scitotenv.2015.01.050 [Google Scholar]
  11. M. Zhou, J. Shi, The Design and Development of an Affordable Unmanned Surface Vehicle for Estuary Research and STEM Education. Proc. Global Oceans 2020: Singapore – U.S. Gulf Coast, 1–7 (2020). https://doi.org/10.1109/IEEECONF38699.2020.9389085 [Google Scholar]
  12. K. Rajesh, C. Laxma Reddy, G. Varaprasad, S. Muralikrishnan, A Cellular IoT-Based Sensor System for Atmospheric Studies Using UAVs. Proc. 2022 Int. Conf. Signal Process., Informatics, Commun. Energy Syst. (SPICES), 263–267 (2022). https://doi.org/10.1109/SPICES52834.2022.9774182 [Google Scholar]
  13. S. P. Jena, S. Chakravarty, S. Sahoo, M. Sahoo, Integration of Cellular IoT for Greenhouse Monitoring, Controlling and Notification System. Proc. 2023 IEEE 9th Int. WIE Conf. Electr. Comput. Eng. (WIECON-ECE), 450–455 (2023). https://doi.org/10.1109/WIECON-ECE60392.2023.10456513 [Google Scholar]
  14. P. Wang, R. Liu, X. Tian, X. Zhang, L. Qiao, Y. Wang, Obstacle Avoidance for Environmentally-Driven USVs Based on Deep Reinforcement Learning in Large-Scale Uncertain Environments. Ocean Eng. 270, 113670 (2023). https://doi.org/10.1016/j.oceaneng.2023.113670 [Google Scholar]

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