Vehicle Trajectory Reconstruction Using Lagrange-Interpolation-Based Framework
Vehicle trajectory usually suffers from a large number of outliers and observation noises. This paper proposes a novel framework for reconstructing vehicle trajectories. The framework integrates the wavelet transform, Lagrange interpolation and Kalman filtering. The wavelet transform based on wavefo...
Main Authors: | Jizhao Wang, Yunyi Liang, Jinjun Tang, Zhizhou Wu |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2024-01-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/14/3/1173 |
Similar Items
-
Enhancing Vehicle Trajectory Quality: A Two‐Step Data Reconstruction Method Using Wavelet Transform and Normal Acceleration Value
by: Xia Zhang, et al.
Published: (2025-01-01) -
An Investigation on using Lagrange, Newton and Least Square Methods for Generating Nonlinear Interpolation Function for the Measuring Instruments
by: Gouda Mohamed Mahmoud, et al.
Published: (2021-04-01) -
Sturm-Liouville boundary value problems and Lagrange interpolation series
by: W.N. EVERITT, et al.
Published: (1994-01-01) -
A Bivariate Approximation Spreadsheet Calculator by Lagrange Interpolation
by: Kim Gaik Tay, et al.
Published: (2014-01-01) -
TrajectoFormer: Transformer-Based Trajectory Prediction of Autonomous Vehicles with Spatio-temporal Neighborhood Considerations
by: Farhana Amin, et al.
Published: (2024-04-01)