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- W2904210546 abstract "Collision avoidance for unmanned aerial vehicles requires dealing with a high-level of uncertainty. Classifying the existing object before dealing with it allows predicting the object’s position with a reduced uncertainty level. In this paper we propose a 3-D graphical representation for indoor objects’ occupancies based on a probabilistic Bayesian model." @default.
- W2904210546 created "2018-12-22" @default.
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- W2904210546 date "2018-07-01" @default.
- W2904210546 modified "2023-09-25" @default.
- W2904210546 title "3-D Graphical Representation for Indoor Objects Based on A Bayesian Model" @default.
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- W2904210546 doi "https://doi.org/10.1109/naecon.2018.8556789" @default.
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