Research on Multi-modal Sensor Data Acquisition and Processing System for USV
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Publisher
Springer Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-0390-8_106
Reference6 articles.
1. Mazzarella, F., Vespe, M., Alessandrini, A., et al.: A novel anomaly detection approach to identify intentional AIS on-off switching. Expert Syst. Appl. 78, 110–123 (2017)
2. Chen, J., Wang, H.: Wide-baseline obstacle mapping using monocular camera for unmanned surface vehicle. In: 2019 IEEE 15th International Conference on Control and Automation (ICCA), pp. 512–517. Edinburgh, United Kingdom (2019). https://doi.org/10.1109/ICCA.2019.8899983
3. Wang, S., Xie, L., Ma, F., Wu, C., Xu, K.: Research of obstacle recognition method for USV based on laser radar. In: 2017 4th International Conference on Transportation Information and Safety (ICTIS), pp. 343–348. Banff, AB (2017. https://doi.org/10.1109/ICTIS.2017.8047787
4. Zhu, J., Yu, M., Yang, Y.: Overview of development of unmanned-surface-vehicle sensing technology. J. Harbin Eng. Univ. 41(10), 1486–1492 (2020). https://doi.org/10.11990/jheu.202007111
5. Muhovič, J., Mandeljc, R., Bovcon, B., Kristan, M., Perš, J.: Obstacle tracking for unmanned surface vessels using 3-D point cloud. IEEE J. Oceanic Eng. 45(3), 786–798 (2020). https://doi.org/10.1109/JOE.2019.2909507
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