Predictive neural motion planner for autonomous driving using graph networks

Predictive neural motion planner for autonomous driving using graph networks

Recent advances in digital twin and parallel intelligence (DTPI) enable the mapping of the physical world to a high-fidelity virtual representation and facilitate intelligent prediction and decision-making for autonomous vehicles and intelligent transportation systems. In the context of DTPI, in thi...

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Bibliographic Details
Main Authors:	Mo, Xiaoyu, Lv, Chen
Other Authors:	School of Mechanical and Aerospace Engineering
Format:	Journal Article
Language:	English
Published:	2024
Subjects:	Engineering Autonomous vehicles Graph neural networks
Online Access:	https://hdl.handle.net/10356/178356

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