An Acceleration Denoising Method Based on an Adaptive Kalman Filter for Trajectory in Merging Zones

Q Chen, S Zhu, J Wu, H Chang… - Journal of Advanced …, 2023 - Wiley Online Library
Vehicle trajectory data can reveal naturalistic driving behaviour trends. However, owing to
measurement and processing errors, the trajectory data extracted from videos often contain …

On-road test scenarios extraction and re-construction approach for c-v2x digital twin test

Q Han, L Qi, L Ye, H Zhang, L Zeng… - 2022 IEEE 25th …, 2022 - ieeexplore.ieee.org
Safety applications of intelligent connected vehicles are trigged by V2X (vehicle to
everything) messages. Therefore, corresponding application test should be done under a …

智能网联环境下信号交叉口车辆轨迹重构模型

杨涛, 马玉琴, 刘梦, 姚志洪, 蒋阳升 - 西南交通大学学报, 2022 - xnjdxb.swjtu.edu.cn
车辆轨迹数据提供了大量的时空交通流信息, 可用于各类交通研究. 传统车辆轨迹模型多以人工
驾驶环境为研究对象, 普遍未考虑由常规车(RV), 网联人工驾驶车(CV) 以及智能网联车(CAV) …

The Critical Scenario Extraction and Identification Method for ICV Testing

Q Han, J Yue, L Ye, L Zeng, Y Long… - 2023 IEEE 26th …, 2023 - ieeexplore.ieee.org
Driving test scenarios from real-world driving data is considered as an effective solution for
ICV on-road test. The main problem is how to select valid test scenarios from a large number …

智能网联汽车数字孪生测试关键场景提取和识别

祖晖, 龙洋, 韩庆文 - 重庆理工大学学报(自然科学), 2023 - clgzk.qks.cqut.edu.cn
场景生成是智能网联汽车数字孪生(DT) 测试面临的关键问题之一, 场景的典型性是决定测试
有效性的关键. 智能网联汽车的测试场景源自真实车辆行驶数据, 提出了一种DT …

Smoothing and Imputation of Longitudinal Vehicle Trajectory Data

X Fan - 2023 - escholarship.org
The purpose of this study is to develop a methodology for processing vehicle trajectory data
which are presented as a series of discrete positions of vehicles recorded over consecutive …