Next Article in Journal
Precision Balance Assessment in Parkinson’s Disease: Utilizing Vision-Based 3D Pose Tracking for Pull Test Analysis
Previous Article in Journal
Creating Expressive Social Robots That Convey Symbolic and Spontaneous Communication
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Sensors
Volume 24
Issue 11
10.3390/s24113672
sensors-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
Retraction of Sensors 2022, 22(24), 9948.
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Retraction

RETRACTED: Ji, W.; Chen, X. TRUST: A Novel Framework for Vehicle Trajectory Recovery from Urban-Scale Videos. Sensors 2022, 22, 9948

by
Wentao Ji
* and
Xing Chen
College of Electronics and Information Engineering, Sichuan University, Chengdu 610064, China
*
Author to whom correspondence should be addressed.
Sensors 2024, 24(11), 3672; https://doi.org/10.3390/s24113672
Submission received: 13 May 2024 / Accepted: 21 May 2024 / Published: 6 June 2024
(This article belongs to the Section Sensing and Imaging)
Versions Notes
The Sensors Editorial Office retracts the article, “TRUST: A Novel Framework for Vehicle Trajectory Recovery from Urban-Scale Videos” [1], cited above.
Following publication, concerns were brought to the attention of the publisher regarding the overlap between this article [1] and an earlier thesis published in another language [2], authored by an unconnected academic.
Adhering to our complaints procedure, an investigation was conducted by the Editorial Office and the Editorial Board, and this confirmed a significant overlap of text, images and content. Given the extent of the overlap, the Editorial Office and Editorial Board have decided to retract this article [1], as per MDPI’s retraction policy (https://www.mdpi.com/ethics#_bookmark30 (accessed on 3 April 2024)) and in line with the Committee on Publication Ethics retraction guidelines (https://publicationethics.org/retraction-guidelines (accessed on 3 April 2024)).
This retraction was approved by the Editor-in-Chief of Sensors.
The authors did not agree with this retraction.

References

  1. Ji, W.; Chen, X. RETRACTED: TRUST: A Novel Framework for Vehicle Trajectory Recovery from Urban-Scale Videos. Sensors 2022, 22, 9948. [Google Scholar] [CrossRef] [PubMed]
  2. Wang, Y. Research and Implementation of Trajectory Recovery from Urban-Scale Videos. Bachelor’s Thesis, Chongqing University, Chongqing, China, June 2020. (In Chinese). [Google Scholar]
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Ji, W.; Chen, X. RETRACTED: Ji, W.; Chen, X. TRUST: A Novel Framework for Vehicle Trajectory Recovery from Urban-Scale Videos. Sensors 2022, 22, 9948. Sensors 2024, 24, 3672. https://doi.org/10.3390/s24113672

AMA Style

Ji W, Chen X. RETRACTED: Ji, W.; Chen, X. TRUST: A Novel Framework for Vehicle Trajectory Recovery from Urban-Scale Videos. Sensors 2022, 22, 9948. Sensors. 2024; 24(11):3672. https://doi.org/10.3390/s24113672

Chicago/Turabian Style

Ji, Wentao, and Xing Chen. 2024. "RETRACTED: Ji, W.; Chen, X. TRUST: A Novel Framework for Vehicle Trajectory Recovery from Urban-Scale Videos. Sensors 2022, 22, 9948" Sensors 24, no. 11: 3672. https://doi.org/10.3390/s24113672

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop