A Novel Lane-Changing Decision Model for Autonomous Vehicles Based on Deep Autoencoder Network and XGBoost
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DOI: 10.1109/access.2020.2964294
Abstract: Lane-changing (LC) is a critical task for autonomous driving, especially in complex dynamic environments. Numerous automatic LC algorithms have been proposed. This topic, however, has not been sufficiently addressed in existing on-road manoeuvre decision methods.… read more here.
Keywords: autonomous vehicles; model; network xgboost; deep autoencoder ... See more keywords