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pro vyhledávání: '"di Lillo A"'
As a variety of automated collision prevention systems gain presence within personal vehicles, rating and differentiating the automated safety performance of car models has become increasingly important for consumers, manufacturers, and insurers. In
Externí odkaz:
http://arxiv.org/abs/2409.16942
Autor:
Dyro, Robert, Foutter, Matthew, Li, Ruolin, Di Lillo, Luigi, Schmerling, Edward, Zhou, Xilin, Pavone, Marco
This work introduces a framework to diagnose the strengths and shortcomings of Autonomous Vehicle (AV) collision avoidance technology with synthetic yet realistic potential collision scenarios adapted from real-world, collision-free data. Our framewo
Externí odkaz:
http://arxiv.org/abs/2409.10669
Autor:
Scanlon, John M., Teoh, Eric R., Kidd, David G., Kusano, Kristofer D., Bärgman, Jonas, Chi-Johnston, Geoffrey, Di Lillo, Luigi, Favaro, Francesca, Flannagan, Carol, Liers, Henrik, Lin, Bonnie, Lindman, Magdalena, McLaughlin, Shane, Perez, Miguel, Victor, Trent
The public, regulators, and domain experts alike seek to understand the effect of deployed SAE level 4 automated driving system (ADS) technologies on safety. The recent expansion of ADS technology deployments is paving the way for early stage safety
Externí odkaz:
http://arxiv.org/abs/2408.07758
It is well-known that randomly initialized, push-forward, fully-connected neural networks weakly converge to isotropic Gaussian processes, in the limit where the width of all layers goes to infinity. In this paper, we propose to use the angular power
Externí odkaz:
http://arxiv.org/abs/2405.09541
Autor:
Martina Micocci, Mattia Manica, Ilaria Bernardini, Laura Soresinetti, Marianna Varone, Paola Di Lillo, Beniamino Caputo, Piero Poletti, Francesco Severini, Fabrizio Montarsi, Sara Epis, Marco Salvemini, Alessandra della Torre
Publikováno v:
Parasites & Vectors, Vol 17, Iss 1, Pp 1-11 (2024)
Abstract Background Disease-vector mosquito monitoring is an essential prerequisite to optimize control interventions and evidence-based risk predictions. However, conventional entomological monitoring methods are labor- and time-consuming and do not
Externí odkaz:
https://doaj.org/article/42d9b83f43a340aeae53b0172fffd67a
This study compares the safety of autonomous- and human drivers. It finds that the Waymo One autonomous service is significantly safer towards other road users than human drivers are, as measured via collision causation. The result is determined by c
Externí odkaz:
http://arxiv.org/abs/2309.01206
Autonomous Vehicles (AVs) have the potential to provide numerous societal benefits, such as decreased road accidents and increased overall transportation efficiency. However, quantifying the risk associated with AVs is challenging due to the lack of
Externí odkaz:
http://arxiv.org/abs/2308.01050
Autor:
Hanks, Patrick, Lenarčič, Simon
Publikováno v:
Dictionary of American Family Names, 2 ed., 2022.
Externí odkaz:
http://www.oxfordreference.com/view/10.1093/acref/9780190245115.001.0001/acref-9780190245115-e-19006
Autor:
SCOTT, MARK mscott@sbnonline.com
Publikováno v:
Smart Business Cleveland. Jun2018, Vol. 29 Issue 10, p32-33. 2p.
Autor:
M. Ortalli, B. Granozzi, M. Bacchiega, C. Di Lillo, G. Roncarati, B. Nuti, E. Vanino, S. S. Longoni, Z. Bisoffi, S. Varani
Publikováno v:
Microbiologia Medica, Vol 39, Iss 2 (2024)
Not available.
Externí odkaz:
https://doaj.org/article/6c9065f52e3a44cabf3f2aedd81902a9