Behavior Prediction and Planning for Intelligent Vehicles Based on Multi-vehicles Interaction and Game Awareness

Hongbo Gao,Guotao Xie,Kelong Wang,Yuchao Liu,Deyi Li

springer

Center for Intelligent Connected Vehicles and Transportation | Department of Automotive Engineering | Graduate School of Chinese Academy of Social Sciences | Department of Computer Science and Technology

Cited 3|Views74

Abstract

In this study, a maneuver prediction and planning framework is proposed on the basis of game theories for complex traffic scenarios. In this framework, the interaction and gaming between multiple vehicles are considered by employing the extensive form game theories, which were extensively researched for sequential gaming problems. Finally, this framework is applied and proved in different lane-change scenarios. The results show that this framework could predict other vehicles’ driving maneuvers and plan maneuvers for ego vehicles by considering interaction and gaming between multiple vehicles, which helps AVs understand the environment better and make the cooperative maneuver planning in complex traffic scenarios.

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Key words

Intelligent vehicles,Behavior prediction and planning,Interaction and gaming awareness

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