Vision-based UAV Positioning Method Assisted by Relative Attitude Classification

Autor: Sheng Zhang, Yu Yang, Chengwei Yang, Xiaolin Hu, Jie Li

Publikováno v: Proceedings of the 2020 5th International Conference on Mathematics and Artificial Intelligence.

When the Unmanned Aerial Vehicle(UAV) is flying in formation, the common communication method is radio frequency(RF) communication. However, in practical applications, the way of RF communication is susceptible to interference from other factors such

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::fc33332ff2239e2d3c92986488e4ee89
https://doi.org/10.1145/3395260.3395263

Attitude Classification in Adjacency Pairs of a Human-Agent Interaction with Hidden Conditional Random Fields

Autor: Slim Essid, Chloé Clavel, Valentin Barriere

Publikováno v: ICASSP
ICASSP 2018-2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
ICASSP 2018-2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Apr 2018, Calgary, Canada. pp.4949-4953, ⟨10.1109/ICASSP.2018.8462160⟩

In this paper, the main goal is to classify, in a human-agent interaction, the attitude of the user using hidden conditional random fields. This model allows us to capture the dynamics of the interaction in the pairs of speech turns (adjacency pairs)

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9e45506758127ccf24793163859423cd
https://doi.org/10.1109/icassp.2018.8462160

Travelers' Risk Attitude Classification Method Based on Cumulative Prospect Theory and Experimental Results

Autor: Lianyan Zhao, Xiangdong Xu, Binbin Liu, Chao Yang

Publikováno v: ITSC

Attitudes towards risk play an important role in travelers' mode choice. Previous research has pointed out that the individual risk attitude varies with different conditions. The traditional risk attitudes classification of dividing people into three

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a598a2d3251a825f22c6a354ccd14792
https://doi.org/10.1109/itsc.2015.146

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