Publications

Affichage de 2291 à 2300 sur 5651


  • Communication dans un congrès

LMI-based 2-DoF control design of a manipulator via T-S descriptor approach

van Anh Nguyen Thi, Tran Anh-Tu Nguyen, Antoine Dequidt, Laurent Vermeiren, Michel Dambrine

This paper presents a method for the control design of a manipulator. The design goal is to achieve a guaranteed H∞ model reference tracking performance with respect to bounded reference inputs through a 2-DoF control scheme. To achieve this goal, the manipulator system is represented by a Takagi-…

12th IFAC SYMPOSIUM ON ROBOT CONTROL (SYROCO 2018), Aug 2020, Budapest, Hungary. pp.102-107, ⟨10.1016/j.ifacol.2018.11.525⟩. ⟨hal-03409259⟩

  • Communication dans un congrès

LIDAR and Stereo-Camera fusion for reliable Road Extraction

Mohammed Yazid Lachachi, Mohamed Ouslim, Abdelmalik Taleb-Ahmed, Smail Niar

his paper presents a novel approach that combines LIDAR and Stereo-cameras. First, a stereo camera is used to guide the extraction of road surface points from a 3D point cloud obtained by a LIDAR. Then, the number of points is reduced based on their elevation and illumination invariant colors.…

2018 30th International Conference on Microelectronics (ICM), Dec 2018, Sousse, Tunisia. pp.64-67, ⟨10.1109/ICM.2018.8704114⟩. ⟨hal-03382394⟩

  • Communication dans un congrès

CFD characterization of a wet foam flow rheological behavior

Heni Dallagi, Ramla Gheith, Ahmad Al Saabi, Christine Faille, Wolfgang Augustin, Thierry Benezech, Fethi Aloui

In some industrial processes, aqueous foams flow presents an important phase of the process, whereas, they cause pressure drop when designing and dimensioning systems. Identifying the different rheological parameters of foam flow is an interest key to understanding the interfacial phenomena.…

ASME 2018 5th Joint US-European Fluids Engineering Division Summer Meeting, Jul 2018, Montréal, Canada. ⟨10.1115/FEDSM2018-83338⟩. ⟨hal-02008733⟩

  • Communication dans un congrès

DeepHPS: End-to-end Estimation of 3D Hand Pose and Shape by Learning from Synthetic Depth

Muhammad Jameel Nawaz Malik, Ahmed Elhayek, Fabrizio Nunnari, Kiran Varanasi, Kiarash Tamaddon, Alexis Heloir, Didier Stricker

Articulated hand pose and shape estimation is an important problem for vision-based applications such as augmented reality and animation. In contrast to the existing methods which optimize only for joint positions, we propose a fully supervised deep network which learns to jointly estimate a full…

2018 International Conference on 3D Vision (3DV), Sep 2018, Vérone, Italy. pp.110-119, ⟨10.1109/3DV.2018.00023⟩. ⟨hal-03383020⟩