A Vehicle Motion Reconstruction Method Based on Vehicular Video

W Heng, H Feng, C Guan, S Pan… - 2020 12th International …, 2020 - ieeexplore.ieee.org
With the improvement of people's traffic safety awareness, more and more vehicle are
equipped with vehicular video camera, which can not only help solve common traffic …

Vehicle path reconstruction using Recursively Ensembled Low-pass filter (RELP) and adaptive tri-cubic kernel smoother

SP Venthuruthiyil, M Chunchu - Transportation Research Part C: Emerging …, 2020 - Elsevier
Accurate information of path followed by vehicles at several real-life scenarios is essential
for modeling and testing the optimal path for autonomous vehicles, analyzing the lateral …

Evaluation of feature-based vehicle trajectory extraction algorithms

ZW Kim, M Cao - 13th International IEEE Conference on …, 2010 - ieeexplore.ieee.org
Vehicle trajectories are and can be used in various intelligent transportation systems
applications including driver behavior modelling and safety. Video-based approaches have …

A Calculation Method for Vehicle Movement Reconstruction from Videos

H Feng, W Shi, F Chen, YJ Byon… - Journal of Advanced …, 2020 - Wiley Online Library
This paper proposes a new enhanced method based on one‐dimensional direct linear
transformation for estimating vehicle movement states in video sequences. The proposed …

An integrated Empirical Mode Decomposition and Butterworth filter based vehicle trajectory reconstruction method

S Dong, Y Zhou, T Chen, S Li, Q Gao, B Ran - Physica A: Statistical …, 2021 - Elsevier
Trajectory data serving as an essential data-source, has been widely applied in traffic flow
analysis, traffic prediction and transportation management. In real situations, trajectory data …

High-resolution vehicle trajectory extraction and denoising from aerial videos

X Chen, Z Li, Y Yang, L Qi, R Ke - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In recent years, unmanned aerial vehicle (UAV) has become an increasingly popular tool for
traffic monitoring and data collection on highways due to its advantage of low cost, high …

Improvement on Vehicle Trajectory Reconstruction: Using Geometric Road Network (GRN)

A Chomputawat, W Chatwiriya… - Proceedings of the 2018 …, 2018 - dl.acm.org
This paper presents the technique using geometric road network (GRN) to improve data
fusion method for vehicle trajectory analysis and reconstruction. The experiment used two …

Vehicle trajectory reconstruction for freeway traffic considering lane changing behaviors

C Zhang, Y Feng - Journal of Intelligent Transportation Systems, 2024 - Taylor & Francis
Vehicle trajectory data provides critical information for many transportation applications. Due
to limitations in the data collection techniques, usually, only partial trajectories can be …

Smoothing of vehicular trajectories under heterogeneous traffic conditions to extract microscopic data

D Pal, M Chunchu - Canadian Journal of Civil Engineering, 2018 - cdnsciencepub.com
Trajectory data collected using video image processing techniques are prone to noise.
Trajectory data extracted using commercially available video image processing software …

Trajectory reconstruction using automated vehicles motion detection data: A hybrid approach integrating wiedemann model and cellular automation

L Wei, Y Wang, P Chen - 2019 IEEE Intelligent Transportation …, 2019 - ieeexplore.ieee.org
In view of the increasing development of automated vehicles (AVs) technologies, it will be
likely that road traffic is made up of a mixture of human-driven vehicles (HVs) and AVs in the …