To solve this problem, the balanced distribution adaptation (BDA) is used to build the new driver's decision making model in the lane change (LC) scenario.

Because of the high accuracy and low cost, learning-based methods have been widely used to model driver behaviors in various scenarios.

To solve this problem, the balanced distribution adaptation (BDA) is used to build the new driver's decision making model in the lane change (LC) scenario.

To solve this problem, the balanced distribution adaptation (BDA) is used to build the new driver's decision making model in the lane change (LC) scenario.

This paper proposes a new TL method semi-supervised balanced distribution adaptation (SS-BDA), which can improve the performance of a new driver's ...

Transferable Driver Behavior Learning via Distribution Adaption in the Lane Change Scenario. Zirui Li Cheng Gong Chao Lu Jianwei Gong Junyan Lu Youzhi Xu ...

Nov 16, 2019 · In this paper, a new TL method semi-supervised balanced distribution adaptation (SS-BDA) is proposed based on distribution adaptation (DA). The ...

2018. Transferable driver behavior learning via distribution adaption in the lane change scenario. Z Li, C Gong, C Lu, J Gong, J Lu, Y Xu, F Hu. 2019 IEEE ...

This paper presents a framework for continual driver behaviour learning (CDBL) by leveraging continual learning technology.

Aug 3, 2022 · The paper proposes a hierarchical model for motion prediction for self-driving. The model predicts a distribution over plausible "insertion ...