Abstract
Generally, the present disclosure is directed to learning costs or weights associated with elements used in navigation planning. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to predict a travel cost or weight associated with an element based on properties of the element and/or time data and/or weather data.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
N/A, "Learning Weights for Smart Navigation Planning", Technical Disclosure Commons, (December 14, 2017)
https://www.tdcommons.org/dpubs_series/997
COinS