Blog
Rivisitazione dell'allineamento della telecamera radar mediante l'apprendimento contrastivo per oggetti 3D Rilevamento
Recentemente, 3D object detection algorithms based on radar and camera fusion have shown excellent performance, setting the stage for their application in autonomous driving perception tasks. Existing methods have focused on dealing with feature misalignment caused by the domain gap between radar...
MPC neurale adattivo online veloce tramite meta-apprendimento
Controllo predittivo del modello basato sui dati (MPC) has demonstrated significant potential for improving robot control performance in the presence of model uncertainties. Tuttavia, existing approaches often require extensive offline data collection and computationally intensive training, limiting their ability to adapt online. To address these...
L'OCCHIO: Un framework a bassa latenza basato su intenti soggettivi per più Previsione della traiettoria congiunta dei partecipanti al traffico
Trajectory prediction is a fundamental technology for advanced autonomous driving systems and represents one of the most challenging problems in the field of cognitive intelligence. Accurately predicting the future trajectories of each traffic participant is a prerequisite for building high safety and...
PINN-MEP: Rappresentazioni neurali continue per il percorso a energia minima Scoperta nei sistemi molecolari
Characterizing conformational transitions in physical systems remains a fundamental challenge in the computational sciences. Traditional sampling methods like molecular dynamics (MD) or MCMC often struggle with the high-dimensional nature of molecular systems and the high energy barriers of transitions between stable states....
Algoritmi MPC completamente scalabili per il k-Center euclideo
The $k$-center problem is a fundamental optimization problem with numerous applications in machine learning, data analysis, data mining, and communication networks. The $k$-center problem has been extensively studied in the classical sequential setting for several decades, and more recently there have been...
Dinamica lagrangiana di tutto il corpo veloce e modulare di robot con gambe Cambiare la morfologia
Modellazione veloce e modulare di robot multigambe (MLR) is essential for resilient control, particularly under significant morphological changes caused by mechanical damage. Modelli convenzionali a struttura fissa, often developed with simplifying assumptions for nominal gaits, lack the flexibility to adapt to such scenarios. A...
Studio della fiamma spray ad autoaccensione in Coflow caldo vorticoso viziato utilizzando modello generato da flamelet
Swirl-stabilized auto-igniting spray flames are essential for designing efficient and clean combustion systems. The present study performs large eddy simulations (IL) della fiamma diluita del metanolo ad autoaccensione in un ambiente viziato, hot coflow of varying swirl intensities. The six-dimensional Flamelet Generated Manifold (MGF)...
Misura della dipendenza dalla temperatura dell'indice di rifrazione di CdZnTe
We have been developing a CdZnTe immersion grating for a compact high-dispersion mid-infrared spectrometer (intervallo di lunghezze d'onda 10–18 $\mu$m, spectral resolution $R = \lambda/\Delta \lambda > 25,000$, operating temperature $T < 20$ K). Using an immersion grating, the spectrometer size can be reduced...
Sondaggio della topologia di banda di massa dall'effetto limite temporale in sintesi Dimensione
Un'onda incidente su un'interfaccia temporale, created by an abrupt change in system parameters, genera onde rifratte e riflesse nel tempo. We find topological characteristics associated with the temporal interface that separates distinct spatial topologies and report a novel bulk-boundary correspondence for the...
Un $O esplicito ed efficiente(n^2)$-Algoritmo temporale per l'ordinamento di insiemi
We present the first explicit comparison-based algorithm that sorts the sumset $X + Y = \{x_i + sì_j,\ \per tutti 0 \l'io, J < n\}$, where $X$ and $Y$ are sorted arrays of real numbers, in optimal $O(n^2)$ time and comparisons. While...