CentraleSupélec

About: CentraleSupélec is a based out in . It is known for research contribution in the topics: MIMO & Wireless network. The organization has 1330 authors who have published 2344 publications receiving 30533 citations. The organization is also known as: CentraleSupelec & CentraleSupelec of the Paris-Saclay University.

Extended-Braking-Stiffness Estimation Under Varying Road-Adherence Conditions

Abstract: We present a switched adaptive observer for the estimation of the tire extended braking stiffness (XBS) during ABS braking scenarios. The design of the observer is based on Burckhardt’s friction model and on a model of the wheel dynamics in which the XBS appears as one of the state variables. Global asymptotic stability of the estimation error is established, provided that certain dwell time and persistency of excitation conditions hold. The approach is validated under constant road conditions with experimental data from a tire-in-the-loop test rig and under varying road conditions via numerical simulations on a two-axle vehicle model that includes dynamic load transfer and tire relaxation length.

Multivariate change detection on high resolution monovariate SAR image using linear time-frequency analysis

Abstract: In this paper, we propose a novel methodology for Change Detection between two monovariate complex SAR images. Linear Time-Frequency tools are used in order to recover a spectral and angular diversity of the scatterers present in the scene. This diversity is used in bi-date change detection framework to develop a detector, whose performances are better than the classic detector on monovariate SAR images.

Revisiting Semantics of Interactions for Trace Validity Analysis

Abstract: Interaction languages such as MSC are often associated with formal semantics by means of translations into distinct behavioral formalisms such as automatas or Petri nets. In contrast to translational approaches we propose an operational approach. Its principle is to identify which elementary communication actions can be immediately executed, and then to compute, for every such action, a new interaction representing the possible continuations to its execution. We also define an algorithm for checking the validity of execution traces (i.e. whether or not they belong to an interaction’s semantics). Algorithms for semantic computation and trace validity are analyzed by means of experiments.

Low Complexity Versatile Video Coding (VVC) for Low Bitrate Applications

Abstract: The new Versatile Video Coding (VVC) standard is currently under development, targeting more efficient compression, especially for 4K and 8K contents. Nevertheless, some application scenarios still require low resolution and low bitrate encoding, e.g., live video streaming over unstable bandwidth-limited wireless networks. In addition, embedded applications also require low complexity and low power consumption solutions. As VVC is not designed for these conditions, it may not necessarily achieve the optimal tradeoff between complexity and compression efficiency. This paper proposes an optimization framework to determine the efficiency at low-resolution and low-bitrate of some of the new coding tools introduced in VVC. We show that in such coding conditions, significant reduction in terms of encoding complexity (up to 56% at 384 × 216 resolution) may be obtained by disabling some of the VVC coding tools, with a negligible impact in terms of compression efficiency (less than 1.88% increase in BD rate ).