A Comprehensive Exploration of Fidelity Quantification in Computer-Generated Images

Autor: Alexandra Duminil, Sio-Song Ieng, Dominique Gruyer

Publikováno v: Sensors, Vol 24, Iss 8, p 2463 (2024)

Generating realistic road scenes is crucial for advanced driving systems, particularly for training deep learning methods and validation. Numerous efforts aim to create larger and more realistic synthetic datasets using graphics engines or synthetic-

Externí odkaz: https://doaj.org/article/844dbd52c87641afb4e01c26ae7a1b0c

Robust Blind Deconvolution Process for Vehicle Reidentification by an Inductive Loop Detector

Autor: Cedric Le Bastard, Yide Wang, David Guilbert, Sio-Song Ieng

Publikováno v: IEEE Sensors Journal
IEEE Sensors Journal, Institute of Electrical and Electronics Engineers, 2014, 14 (12), pp.4315-4322. ⟨10.1109/JSEN.2014.2345755⟩
IEEE Sensors Journal, 2014, 14 (12), pp.4315-4322. ⟨10.1109/JSEN.2014.2345755⟩

International audience; A robust blind deconvolution algorithm is proposed to cancel the sensor averaging effect caused by its wide detection area. The purpose herein is to retrieve features of the "real" signal that have been distorted by the averag

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1b7e37890fd2415a71dda6c085681d28
https://doi.org/10.1109/jsen.2014.2345755

Bridge Influence Line Estimation for Bridge Weigh-in-Motion System

Autor: Sio-Song Ieng

Publikováno v: Journal of Computing in Civil Engineering
Journal of Computing in Civil Engineering, American Society of Civil Engineers, 2014, 4p. ⟨10.1061/(ASCE)CP.1943-5487.0000384⟩

This paper presents an algorithm that estimates the influence line (IL) of a bridge using data collected when trucks pass over the sensors installed in the bridge. The algorithm is tested with data collected from the Millau Viaduct in France using a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a0b6086b9a038e94abd633822128abc
https://hal.archives-ouvertes.fr/hal-00978408

Understanding simulated driver behavior using hysteresis loops

Autor: Julien Saunier, Zahia Guessoum, Sio-Song Ieng, Lancelot Six

Publikováno v: Proceeding of 13th IFAC symposium on Control in Transportation Systems
13th IFAC symposium on Control in Transportation Systems
13th IFAC symposium on Control in Transportation Systems, Sep 2012, Sofia, Bulgaria. pp.192--198, ⟨10.3182/20120912-3-BG-2031.00070⟩

International audience; Modeling techniques evolved a lot during the last half century. Acceleration models used for microscopic traffic simulation are heterogeneous. For instance, differential equation based models are different from agent based one

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f6bcc3ca8134cba11105c285c2644b17
https://hal.archives-ouvertes.fr/hal-00749701/file/article.pdf

A Revisited Half-Quadratic Approach for Simultaneous Robust Fitting of Multiple Curves

Autor: Jean-Philippe Tarel, Pierre Charbonnier, Sio-Song Ieng

Publikováno v: Computer vision and Computer Graphics, revised selected papers of visigrapp'07
Computer vision and Computer Graphics, revised selected papers of visigrapp'07, 2009, pp 121-133
Communications in Computer and Information Science ISBN: 9783540896814
VISIGRAPP (Selected Papers)

In this paper, we address the problem of robustly recovering several instances of a curve model from a single noisy data set with outliers. Using M-estimators revisited in a Lagrangian formalism, we derive an algorithm that we call Simultaneous Multi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5271912394dfa9c0f8a4ca8a892479c0
https://hal.archives-ouvertes.fr/hal-00436287