Sound modality carries information that image does not. In order to exploit this information in the best way when navigating egocentric videos, this work explores how users query and interact with sound-based content in egocentric videos. We propose a zero-shot audiovisual retrieval method. Then, we design two user studies, (1) we ask users how they query sound in a mass web-based questionnaire and (2) we compare vision-only retrieval with audio-visual retrieval in egocentric, or first person, videos.

Error-related potentials (ErrPs) have been studied to evaluate wrong decisions or actions in several contexts. An ErrP is an electrical potential on the scalp generated by the perception of errors and occurs unwittingly. In human-robot collaboration (HRC), ErrP detection can be shown as feedback or trigger an action to adapt the system to the user. This contributes to the improvement of HRC, taking into account user performance. However, to our knowledge, the detection of ErrPs in HRC has not been widely explored, resulting in only a few studies. This preliminary systematic review will present work on ErrP-based interfaces related to adaptation, control, and...

Simplex-structured matrix factorization (SSMF) is a common task encountered in signal processing and machine learning. Minimum-volume constrained unmixing (MVCU) algorithms are among the most widely used methods to perform this task. While MVCU algorithms generally perform well in an offline setting, their direct application to online scenarios suffers from scalability limitations due to memory and computational demands. To overcome these limitations, this paper proposes an approach which can build upon any off-the-shelf MVCU algorithm to operate sequentially, i.e., to handle one observation at a time. The key idea of the proposed method consists in updating the solution...

Les drones offrent un soutien précieux lors des missions de lutte contre les incendies en fournissant un point de vue inédit, permettant aux chefs de mission de prendre des décisions avec une plus grande connaissance de la situation. Cependant, leur potentiel pour fournir directement des informations aux pompiers sur le terrain reste sous-exploité. Nous proposons un prototype de drone capable de transmettre des informations en temps réel aux pompiers via un écran à basse résolution sur le drone. Nous avons conçu des animations en utilisant un processus itératif (N=11+7) pour communiquer des informations cruciales aux pompiers, basées sur des tâches identifiées dans la...

Path planning for multiple vehicles is a difficult task, but even more so for fixed-wing aircraft. When flying several of them, multiple constraints may apply: constant airspeed, to maintain optimal operational conditions; synchronous arrival to destination, to achieve formation flight; taking into account wind, for limiting deviation from plan, especially for smaller Unmanned Aerial Vehicles. We present a method to solve this problem based on enumerating variations of Dubins paths until a conflict-free solution is found. This provides a simple and parallelizable scheme that can be extended to handle sequencing tasks. We showcase different situations solved in simulation...

<div><p>This paper presents a new hybrid method, based on simulated annealing and dynamic programming, tailored to solve a Demand and Capacity Balancing (DCB) problem that overcomes the limitations of the current Air Traffic Flow and Capacity Management (ATFCM) system by: (a) the introduction of complexity metrics (instead of entry counts) in order to measure the traffic load; (b) the better consideration of the airspace users' preferences, allowing the possibility of submitting alternative trajectories to avoid congested airspace; and (c) the holistic integration of the demand and capacity management into the same optimisation problem. This new method is compared with...

Les flottes de drones offrent un fort potentiel pour les missions de re- cherche et de sauvetage (SAR), en accélérant l’exploration de zones étendues ou le transport de matériel. Toutefois, la nature imprévi- sible et dynamique de ces interventions rend leur automatisation et leur supervision complexes. Nous avons mené des entretiens avec quatre professionnels du SAR pour identifier des scénarios critiques et des besoins d’interactions à différents niveaux de contrôle. Nous avons ensuite conçu un prototype en réalité virtuelle permettant de planifier, superviser et reprendre le contrôle manuel d’une flotte de drones lors de missions de recherche. Une étude exploratoire...

Parameter sets for post-quantum primitives have to be designed with their whole lifecycle in mind. Computers will likely evolve to include larger computing spaces, for instance, with processing in memory. This architecture change is already known to improve cryptographic performance. In this paper, we propose new parameter sets for Classic McEliece to benefit further from this change

Off-the-shelf open-source autopilots are customized by practitioners to satisfy their customer’s specific needs. When custom functions require low delays and/or fast frequency, in the order of magnitude of hundreds or a couple of thousand hertz, they may impact the behavior of the underlying stabilization loop. This paper proposes a tool chain able to extract a model using a Domain-Specific Language (DSL) based on AADL (Architecture Analysis & Design Language) semantics, extended with specific needs to capture the internal behavior of autopilots. This extraction is done directly during the compilation process of the autopilot. Then, we apply on the model of an autopilot a...