Zobrazeno 1 - 10
of 4 980
pro vyhledávání: '"Sanchez, Manuel A."'
Autor:
Dieball, Cai, Satalsari, Yasamin Mohebi, Zuccolotto-Bernezb, Angel B., Egelhaaf, Stefan U., Escobedo-Sánchez, Manuel A., Godec, Aljaž
We investigate path-wise observables in experiments on driven colloids in a periodic optical field to dissect selected intricate transport features, kinetics, and transition-path time statistics out of thermodynamic equilibrium. These observables dir
Externí odkaz:
http://arxiv.org/abs/2410.07026
Autor:
Sánchez, Manuel Muñoz, Trots, Gijs, Smit, Robin, Oliveira, Pedro Vieira, Silvas, Emilia, Elfring, Jos, van de Molengraft, René
Autonomous Vehicles (AVs) need an accurate and up-to-date representation of the environment for safe navigation. Traditional methods, which often rely on detailed environmental representations constructed offline, struggle in dynamically changing env
Externí odkaz:
http://arxiv.org/abs/2406.01941
Autor:
Führer, Thomas, Sánchez, Manuel A.
We design quasi-interpolation operators based on piecewise polynomial weight functions of degree less than or equal to $p$ that map into the space of continuous piecewise polynomials of degree less than or equal to $p+1$. We show that the operators h
Externí odkaz:
http://arxiv.org/abs/2404.13183
Autor:
Erdely, Arturo, Rubio-Sanchez, Manuel
Scatter plots are widely recognized as fundamental tools for illustrating the relationship between two numerical variables. Despite this, based on solid theoretical foundations, scatter plots generated from pairs of continuous random variables may no
Externí odkaz:
http://arxiv.org/abs/2404.00820
Autor:
Sánchez, Manuel Muñoz, van der Ploeg, Chris, Smit, Robin, Elfring, Jos, Silvas, Emilia, van de Molengraft, René
Predicting the movement of other road users is beneficial for improving automated vehicle (AV) performance. However, the relationship between the time horizon associated with these predictions and AV performance remains unclear. Despite the existence
Externí odkaz:
http://arxiv.org/abs/2402.03893
This paper introduces discrete-holomorphic Perfectly Matched Layers (PMLs) specifically designed for high-order finite difference (FD) discretizations of the scalar wave equation. In contrast to standard PDE-based PMLs, the proposed method achieves t
Externí odkaz:
http://arxiv.org/abs/2306.13189
Many players in the automotive field support scenario-based assessment of automated vehicles (AVs), where individual traffic situations can be tested and, thus, facilitate concluding on the performance of AVs in different situations. Since a large nu
Externí odkaz:
http://arxiv.org/abs/2306.07815
Accurate and robust trajectory predictions of road users are needed to enable safe automated driving. To do this, machine learning models are often used, which can show erratic behavior when presented with previously unseen inputs. In this work, two
Externí odkaz:
http://arxiv.org/abs/2304.01895
Autor:
Barbosa, Diego, Díaz, Felipe, Quintero, Liliana, Flórez, Andrés, Sanchez, Manuel, Gurrola, Alfredo, Sheridan, Elijah, Romeo, Francesco
The production of heavy mass resonances has been widely studied theoretically and experimentally. Several extensions of the standard model (SM) of particle physics, naturally give rise to a new resonance, with neutral electric charge, commonly referr
Externí odkaz:
http://arxiv.org/abs/2210.15813
To operate safely, an automated vehicle (AV) must anticipate how the environment around it will evolve. For that purpose, it is important to know which prediction models are most appropriate for every situation. Currently, assessment of prediction mo
Externí odkaz:
http://arxiv.org/abs/2210.06553