A Novel Lane-Changing Decision Model for Autonomous Vehicles Based on Deep Autoencoder Network and XGBoost
Lane-changing (LC) is a critical task for autonomous driving, especially in complex trm atom knife dynamic environments.Numerous automatic LC algorithms have been proposed.This topic, however, has not been sufficiently addressed in existing on-road manoeuvre decision methods.Therefore, this paper presents a novel LC decision (LCD) model that gives