A framework that estimates IDM and MOBIL driving characteristics online and feeds them to an LSTM predicts lane changes and lane keeping, with reported F1 values up to 0.977 on NGSIM data.
Hybrid-state driver/vehicle modelling, estimation and prediction,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.RO 1years
2019 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
Driving Intention Recognition and Lane Change Prediction on the Highway
A framework that estimates IDM and MOBIL driving characteristics online and feeds them to an LSTM predicts lane changes and lane keeping, with reported F1 values up to 0.977 on NGSIM data.