augmenting: augmenting Bayesian Network
In bnRep: A Repository of Bayesian Networks from the Academic Literature
augmenting R Documentation
augmenting Bayesian Network
Description
Augmenting learning components for safety in resource constrained autonomous robots.
Format
A discrete Bayesian network to estimate the probability that the car will remain on track, given its current state and control actions. Probabilities were given within the referenced paper. The vertices are:
- CmdSteeringOnTurn
(Leaf, Straight, Right);
- CurrentPosition
(Near, On , Far);
- CurrentSteering
(Straight, Left, Right);
- CurrentVelocity
(Slow, Medium, Fast);
- InTrack
(Yes, No);
- SafeTurnRegion
(Yes, No);
Value
An object of class bn.fit. Refer to the documentation of bnlearn for details.
References
Ramakrishna, S., Dubey, A., Burruss, M. P., Hartsell, C., Mahadevan, N., Nannapaneni, S., ... & Karsai, G. (2019, May). Augmenting learning components for safety in resource constrained autonomous robots. In 2019 IEEE 22nd International Symposium on Real-Time Distributed Computing (ISORC) (pp. 108-117). IEEE.
bnRep documentation built on April 12, 2025, 1:13 a.m.
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| augmenting | R Documentation |
augmenting Bayesian Network
Description
Augmenting learning components for safety in resource constrained autonomous robots.
Format
A discrete Bayesian network to estimate the probability that the car will remain on track, given its current state and control actions. Probabilities were given within the referenced paper. The vertices are:
- CmdSteeringOnTurn
(Leaf, Straight, Right);
- CurrentPosition
(Near, On , Far);
- CurrentSteering
(Straight, Left, Right);
- CurrentVelocity
(Slow, Medium, Fast);
- InTrack
(Yes, No);
- SafeTurnRegion
(Yes, No);
Value
An object of class bn.fit. Refer to the documentation of bnlearn for details.
References
Ramakrishna, S., Dubey, A., Burruss, M. P., Hartsell, C., Mahadevan, N., Nannapaneni, S., ... & Karsai, G. (2019, May). Augmenting learning components for safety in resource constrained autonomous robots. In 2019 IEEE 22nd International Symposium on Real-Time Distributed Computing (ISORC) (pp. 108-117). IEEE.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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