The Caddian corpus consists of one hundred files containing a total of one hundred million sentences, 499.987.270 commands and 1.645.405.039 lemmas/tokens. The average length of sentences is 4,99 commands per sentence with an average variance of 6,66 and a standard deviation of 2,58: sentences contain from a minimum of one command to a maximum of nine commands. The commands belong to the entire domain of possible syntactically and semantically correct commands of Caddian Core
The corpus is described in “Chiarella, D. Towards Multi-AUV Collaboration and Coordination: A Gesture-Based Multi-AUV Hierarchical Language and a Language Framework Comparison System. J. Mar. Sci. Eng. 2023, 11, 1208. https://doi.org/10.3390/jmse11061208”
Chiarella, D. Towards Multi-AUV Collaboration and Coordination: A Gesture-Based Multi-AUV Hierarchical Language and a Language Framework Comparison System. J. Mar. Sci. Eng. 2023, 11, 1208. https://doi.org/10.3390/jmse11061208 [online version],[BibTex], [RIS]
A. Gomez Chavez, A. Ranieri, D. Chiarella and A. Birk. Underwater Vision-Based Gesture Recognition: A Robustness Validation for Safe Human–Robot Interaction. IEEE Robotics & Automation Magazine, vol. 28, no. 3, pp. 67-78, Sept. 2021, doi: 10.1109/MRA.2021.3075560.
Gomez Chavez, A.; Ranieri, A.; Chiarella, D.; Zereik, E.; Babić, A.; Birk, A. CADDY Underwater Stereo-Vision Dataset for Human–Robot Interaction (HRI) in the Context of Diver Activities. J. Mar. Sci. Eng. 2019, 7, 16. [online version], [PDF], [BibTeX], [RIS].
Chiarella, D.; Bibuli, M.; Bruzzone, G.; Caccia, M.; Ranieri, A.; Zereik, E.; Marconi, L.; Cutugno, P. A Novel Gesture-Based Language for Underwater Human–Robot Interaction. J. Mar. Sci. Eng. 2018, 6, 91. [PDF], [BibTeX], [RIS]
|Caddian Corpus – 1.8GB|
10.06.2023 Caddian corpus online, see [PDF].
20.04.2023 First version online, see reference [COMING SOON].
For any inquiry about the Caddian corpus please contact Davide Chiarella at email@example.com