Selective visual odometry for accurate AUV localization

Author:

Bellavia Fabio,Fanfani Marco,Colombo Carlo

Funder

Seventh Framework Programme (BE)

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Reference37 articles.

1. Allotta, B., Colombo, C., et al. (2013). Teams of robots for underwater archaeology: The ARROWS project. In Proceedings of the 6th international congress on science and technology for the safeguard of cultural heritage in the Mediterranean basin.

2. Allotta, B., Bartolini, F., Conti, R., Costanzi, R., Gelli, J., Monni, N., Natalini, M., Pugi, L., & Ridolfi, A. (2014). MARTA: An AUV for underwater cultural heritage. In Proceedings of the underwater acoustics 2014.

3. Badino, H., & Kanade, T. (2011). A head-wearable short-baseline stereo system for the simultaneous estimation of structure and motion. In IAPR conference on machine vision application (pp. 185–189).

4. Badino, H., Yamamoto, A., & Kanade, T. (2013). Visual odometry by multi-frame feature integration. In Proceedings of the international workshop on computer vision for autonomous driving at ICCV.

5. Bay, H., Ess, A., Tuytelaars, T., & Van Gool, L. (2008). Speeded-up robust features (SURF). Computer Vision and Image Understanding, 110(3), 346–359.

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