Sep 4, 2020 · Using IWGPR, sufficient historical data collected from one driver can be used to model another driver with insufficient data, and thus improve ...
Sep 5, 2020 · Using IWGPR, sufficient historical data collected from one driver can be used to model another driver with insufficient data, and thus improve ...
Nov 12, 2020 · The importance weight (IW) represents the probabilistic density ratio between two drivers and the un- constrained least-squares importance ...
Importance Weighted Gaussian Process Regression for Transferable Driver Behaviour Learning in the Lane Change Scenario release_bd43xrre65bnjgh62ybf4sq6su ...
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2021. Importance Weighted Gaussian Process Regression for Transferable Driver Behaviour Learning in the Lane Change Scenario. Z Li, J Gong, C Lu, J Xi. IEEE ...
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Importance Weighted Gaussian Process Regression for Transferable Driver Behaviour Learning in the Lane Change Scenario Zirui Li, Jianwei Gong, Chao Lu ...
Importance Weighted Gaussian Process Regression for Transferable Driver Behaviour Learning in the Lane Change Scenario · Prediction of Pedestrian Risky Level for ...
Importance weighted Gaussian process regression for transferable driver behaviour learning in the lane change scenario. IEEE Trans Veh Technol, 69 (11) (2020) ...