Hybrid Approach for Vehicle Trajectory Prediction Using Weighted Integration of Multiple Models

Hybrid Approach for Vehicle Trajectory Prediction Using Weighted Integration of Multiple Models

Prediction of surrounding vehicles accurately is an essential prerequisite for safe autonomous driving. Trajectory prediction methods can be classified into physics-, maneuver-, or learning-based methods. Learning-based methods have been studied extensively in recent years because it effectively exp...

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Bibliographic Details
Main Authors: Gihoon Kim, Dongchan Kim, Yoonyong Ahn, Kunsoo Huh
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Trajectory prediction
physics-based model
maneuver-based model
deep ensemble
uncertainty
weighted integrated model
Online Access:https://ieeexplore.ieee.org/document/9441017/

Internet

https://ieeexplore.ieee.org/document/9441017/

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