Interaction-Aware Probabilistic Trajectory Prediction of Cut-In Vehicles Using Gaussian Process for Proactive Control of Autonomous Vehicles

Interaction-Aware Probabilistic Trajectory Prediction of Cut-In Vehicles Using Gaussian Process for Proactive Control of Autonomous Vehicles

This paper presents a probabilistic trajectory prediction of cut-in vehicles exploiting the information of interacting vehicles. First, a probability distribution of behavioral parameters, which represents the characteristics of lane-change motion, is obtained via Gaussian Process Regression (GPR)....

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Bibliographic Details
Main Authors: Youngmin Yoon, Changhee Kim, Jongmin Lee, Kyongsu Yi
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Autonomous vehicle
autonomous driving
Gaussian process (GP)
machine learning
vehicle trajectory prediction
interaction-aware motion prediction
Online Access:https://ieeexplore.ieee.org/document/9416483/

Internet

https://ieeexplore.ieee.org/document/9416483/

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