Zobrazeno 1 - 10
of 4 320
pro vyhledávání: '"chen, Mo"'
Autor:
Chen, Mo, Rosier, Lionel
Publikováno v:
Comptes Rendus. Mathématique, Vol 360, Iss G6, Pp 627-639 (2022)
We are concerned with the determination of the reachable states for the distributed control of the heat equation on an interval. We consider either periodic boundary conditions or homogeneous Dirichlet boundary conditions. We prove that for a $L^2$ d
Externí odkaz:
https://doaj.org/article/6d91962cfb814cb68995de29f0661ece
In this paper, we propose a tracking-based HD mapping algorithm for top-down road images, referred to as tile images. While HD maps traditionally rely on perspective camera images, our approach shows that tile images can also be effectively utilized,
Externí odkaz:
http://arxiv.org/abs/2411.02588
The functional or structural spatial regions within tissues, referred to as spatial niches, are elements for illustrating the spatial contexts of multicellular organisms. A key challenge is querying shared niches across diverse tissues, which is cruc
Externí odkaz:
http://arxiv.org/abs/2410.10652
Detecting human actions is a crucial task for autonomous robots and vehicles, often requiring the integration of various data modalities for improved accuracy. In this study, we introduce a novel approach to Human Action Recognition (HAR) based on sk
Externí odkaz:
http://arxiv.org/abs/2410.01962
Deep Reinforcement Learning (RL) has shown remarkable success in robotics with complex and heterogeneous dynamics. However, its vulnerability to unknown disturbances and adversarial attacks remains a significant challenge. In this paper, we propose a
Externí odkaz:
http://arxiv.org/abs/2409.19746
Long-term human trajectory prediction is a challenging yet critical task in robotics and autonomous systems. Prior work that studied how to predict accurate short-term human trajectories with only unimodal features often failed in long-term predictio
Externí odkaz:
http://arxiv.org/abs/2405.19528
The NIR-to-RGB spectral domain translation is a formidable task due to the inherent spectral mapping ambiguities within NIR inputs and RGB outputs. Thus, existing methods fail to reconcile the tension between maintaining texture detail fidelity and a
Externí odkaz:
http://arxiv.org/abs/2404.16685
Conventional trajectory planning approaches for autonomous racing are based on the sequential execution of prediction of the opposing vehicles and subsequent trajectory planning for the ego vehicle. If the opposing vehicles do not react to the ego ve
Externí odkaz:
http://arxiv.org/abs/2404.10658
In this paper, we present an approach for guaranteeing the completion of complex tasks with cyber-physical systems (CPS). Specifically, we leverage temporal logic trees constructed using Hamilton-Jacobi reachability analysis to (1) check for the exis
Externí odkaz:
http://arxiv.org/abs/2404.08334
The maritime industry's continuous commitment to sustainability has led to a dedicated exploration of methods to reduce vessel fuel consumption. This paper undertakes this challenge through a machine learning approach, leveraging a real-world dataset
Externí odkaz:
http://arxiv.org/abs/2403.13909