Scientific Diffusion
Latest research papers
Tensor Decompositions for Signal Processing: Theory, Advances, and Applications
Journal Article
Neriman Tokcan, Shakir Showkat Sofi, Van Tien Pham, Clémence Prévost, Sofiane Kharbech, Baptiste Magnier, Thanh Phuong Nguyen, Yassine Zniyed, Lieven de Lathauwer
In the era of big data, rapid advancements in technology and data collection methods have led to the generation and accessibility of vast amounts of multi-modal, high-dimensional data across a diverse range of disciplines. Tensor methods have emerged as essential tools in…
Toughness Properties of Arbitrarily Partitionable Graphs
Journal Article
Julien Bensmail
Drawing inspiration from a well-known conjecture of Chv\'atal on a toughness threshold guaranteeing graph Hamiltonicity, we investigate toughness properties of so-called arbitrarily partitionable (AP) graphs, which are those graphs that can be partitioned into arbitrarily many…
CleverFish: An AI-driven Platform to Monitor and Explore Marine Ecological Resources
Conference Paper
Kilian Bürgi, Stephane Petiot, Cécile Sabourault, Rémy Sun, Diane Lingrand, Benoit Derijard, Charles Bouveyron
The crucial need for reliable, robust and un-biased biodiversity data in support of initiatives such as the 30x30 initiative, which aims to conserve 30% of the world's oceans by 2030, presents significant scientific and technological challenges. There have been advances made to…
Impact of Heterogeneous UWB Sensor Noise on the Optimality and Sensitivity of Mobile Positioning Systems
Conference Paper
Mathilde Theunissen, Isabelle Fantoni, Ezio Malis
In this paper, we propose a theoretical framework for designing a multi-robot formation equipped with Ultra-wideband (UWB) sensors to localize a target robot. In the presence of noisy range measurements, the accuracy of the target robot’s pose estimation is highly dependent on…
A Novel Strategy for Connectivity Maintenance and Recovery in Heterogeneous Multi-Robot Systems
Conference Paper
Enrico Fiasché, Ezio Malis, Philippe Martinet
Ensuring connectivity and coordination in heterogeneous multi-robot systems (MRS) navigating complex environments is a critical challenge, especially when communication constraints and obstacles cause robots to become lost or disconnected. This paper presents a novel approach…
CG-Net: Urban Trajectory Forecasting with Bipartite Graphs for Agents, Scene Context and Candidate Centerlines
Conference Paper
Kaushik Bhowmik, Anne Spalanzani, Philippe Martinet
Trajectory forecasting in urban environments is a critical task that needs to be addressed for the safety of autonomous vehicles, particularly in urban road intersection scenarios, where agents exhibit diverse behaviors mainly due to complex interactions between agents and the…