Plausible Vehicle Trajectory Augmentation With Hybrid Machine Learning

Plausible Vehicle Trajectory Augmentation With Hybrid Machine Learning

In recent decades, advancements in autonomous driving technology have fundamentally transformed the automotive industry and transportation systems. Autonomous vehicles hold the potential to significantly reduce traffic accidents, improve driving convenience, and alleviate congestion. A crucial facto...

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Bibliographic Details
Main Authors: Junyeop Park, Hyeonsoo Jang, Byeongju Kang, Yunhyoung Hwang
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Automated driving
Chebyshev polynomial
data augmentation
time-series data
vehicle trajectory
Online Access:https://ieeexplore.ieee.org/document/11014093/
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https://ieeexplore.ieee.org/document/11014093/

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