A CNN estimates free-flow speeds from aerial imagery and metadata, performing nearly as well with imagery alone as with road features.
The neural network uses both aerial imagery and relevant road features as input, and outputs a probability mass function over K possible free-flow speeds
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2019 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Remote Estimation of Free-Flow Speeds
A CNN estimates free-flow speeds from aerial imagery and metadata, performing nearly as well with imagery alone as with road features.