Measuring traffic lane‐changing by converting video into space–time still images-Reference-Cited by-同舟云学术

Measuring traffic lane‐changing by converting video into space–time still images

Published:2019-01-17 Issue:6 Volume:34 Page:488-505
ISSN:1093-9687
Container-title:Computer-Aided Civil and Infrastructure Engineering
language:en
Short-container-title:Computer‐Aided Civil and Infrastructure Engineering

Author:

Sala Marcel¹,Soriguera Francesc¹,Huillca Kevin²,Vilaplana Verónica²

Affiliation:

1. BIT – Barcelona Innovative Transportation, Civil and Environmental Engineering DepartmentUPC‐BarcelonaTech Barcelona Spain

2. Image Processing Group, Signal Theory and Communications DepartmentUPC‐BarcelonaTech Barcelona Spain

Funder

Ministerio de Economía y Competitividad

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Graphics and Computer-Aided Design,Computer Science Applications,Civil and Structural Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/mice.12430

Reference47 articles.

1. Alireza A. Karami‐Mollaie M. &BaleghiY.(2012).Object tracking using adaptive object color modelling.Proceeding of 4th Conference on Information and Knowledge Technology Babol Iran 848–852.

2. Methods of analyzing traffic imagery collected from aerial platforms

3. Video-Based Vehicle Detection and Classification System for Real-Time Traffic Data Collection Using Uncalibrated Video Cameras

4. Bhaskar P. K. &Yong S. P.(2014).Image processing based vehicle detection and tracking method.IEEE 2014 International Conference on Computer and Information Sciences (ICCOINS) Kuala Lumpur Malaysia 1–5.

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep spatial‐temporal embedding for vehicle trajectory validation and refinement;Computer-Aided Civil and Infrastructure Engineering;2024-01-30

2. Empirical Study of Lane-Changing Maneuvers in a Weaving Area Based on Reconstructed Trajectories of Floating Car Data;Transportation Research Record: Journal of the Transportation Research Board;2023-06-22

3. Automatic generation of fine‐grained traffic load spectrum via fusion of weigh‐in‐motion and vehicle spatial–temporal information;Computer-Aided Civil and Infrastructure Engineering;2021-07-21

4. Modeling and field experiments on autonomous vehicle lane changing with surrounding human‐driven vehicles;Computer-Aided Civil and Infrastructure Engineering;2020-02-18

5. Lane‐changing and freeway capacity: A Bayesian inference stochastic model;Computer-Aided Civil and Infrastructure Engineering;2020-01-12