Zobrazeno 1 - 10
of 954
pro vyhledávání: '"Díaz Ruíz, P."'
Multiple-Input Multiple-Output (MIMO) systems play a crucial role in fifth-generation (5G) mobile communications, primarily achieved through the utilization of precoding matrix techniques. This paper presents precoding techniques employing codebooks
Externí odkaz:
http://arxiv.org/abs/2410.02391
Autor:
You, Yurong, Phoo, Cheng Perng, Diaz-Ruiz, Carlos Andres, Luo, Katie Z, Chao, Wei-Lun, Campbell, Mark, Hariharan, Bharath, Weinberger, Kilian Q
Accurate 3D object detection is crucial to autonomous driving. Though LiDAR-based detectors have achieved impressive performance, the high cost of LiDAR sensors precludes their widespread adoption in affordable vehicles. Camera-based detectors are ch
Externí odkaz:
http://arxiv.org/abs/2404.05139
Autor:
Gerardo Bautista-Bautista, Santos Salguero-Zacarias, Graciela Villeda-Gabriel, Guadalupe García-López, Mauricio Osorio-Caballero, Martha Leticia Palafox-Vargas, Ricardo Josué Acuña-González, Irlando Lara-Pereyra, Oscar Díaz-Ruíz, Hector Flores-Herrera
Publikováno v:
BMC Pregnancy and Childbirth, Vol 24, Iss 1, Pp 1-13 (2024)
Abstract Background Escherichia coli (E. coli) is one of the main bacteria associated with preterm premature rupture of membranes by increasing pro-matrix metalloproteinase 9 (proMMP-9) and degradation of type IV collagen in human feto-maternal inter
Externí odkaz:
https://doaj.org/article/e1f4493ddfa646a2a7fd41cc19760655
Autor:
Diaz-Ruiz, Carlos A., Xia, Youya, You, Yurong, Nino, Jose, Chen, Junan, Monica, Josephine, Chen, Xiangyu, Luo, Katie, Wang, Yan, Emond, Marc, Chao, Wei-Lun, Hariharan, Bharath, Weinberger, Kilian Q., Campbell, Mark
Advances in perception for self-driving cars have accelerated in recent years due to the availability of large-scale datasets, typically collected at specific locations and under nice weather conditions. Yet, to achieve the high safety requirement, t
Externí odkaz:
http://arxiv.org/abs/2208.01166
This paper focuses on the problem of decentralized pedestrian tracking using a sensor network. Traditional works on pedestrian tracking usually use a centralized framework, which becomes less practical for robotic applications due to limited communic
Externí odkaz:
http://arxiv.org/abs/2202.13237
We present a method for detecting and mapping trees in noisy stereo camera point clouds, using a learned 3-D object detector. Inspired by recent advancements in 3-D object detection using a pseudo-lidar representation for stereo data, we train a Poin
Externí odkaz:
http://arxiv.org/abs/2103.15967
Autor:
You, Yurong, Diaz-Ruiz, Carlos Andres, Wang, Yan, Chao, Wei-Lun, Hariharan, Bharath, Campbell, Mark, Weinberger, Kilian Q
Self-driving cars must detect other vehicles and pedestrians in 3D to plan safe routes and avoid collisions. State-of-the-art 3D object detectors, based on deep learning, have shown promising accuracy but are prone to over-fit to domain idiosyncrasie
Externí odkaz:
http://arxiv.org/abs/2103.14198
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.