Research on Lane-Changing Decision Making and Planning of Autonomous Vehicles Based on GCN and Multi-Segment Polynomial Curve Optimization

Research on Lane-Changing Decision Making and Planning of Autonomous Vehicles Based on GCN and Multi-Segment Polynomial Curve Optimization

This paper considers the interactive effects between the ego vehicle and other vehicles in a dynamic driving environment and proposes an autonomous vehicle lane-changing behavior decision-making and trajectory planning method based on graph convolutional networks (GCNs) and multi-segment polynomial...

Full description

Bibliographic Details
Main Authors: Fuyong Feng, Chao Wei, Botong Zhao, Yanzhi Lv, Yuanhao He
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Sensors
Subjects:
autonomous vehicle
lane change
decision making
trajectory planning
graph convolutional networks
multi-segment polynomial curve
Online Access:https://www.mdpi.com/1424-8220/24/5/1439

Internet

https://www.mdpi.com/1424-8220/24/5/1439

Similar Items