Zobrazeno 1 - 10
of 1 964
pro vyhledávání: '"Torres, Fernando A."'
Autor:
Muñoz-Bañón, Miguel Ángel, Olivas, Alejandro, Velasco-Sánchez, Edison, Candelas, Francisco A., Torres, Fernando
Publikováno v:
In IEEE Robotics and Automation Letters, vol. 9, no. 6, pp. 5599-5606, June 2024
Feature-based geo-localization relies on associating features extracted from aerial imagery with those detected by the vehicle's sensors. This requires that the type of landmarks must be observable from both sources. This lack of variety of feature t
Externí odkaz:
http://arxiv.org/abs/2311.07301
Autor:
Velasco-Sánchez, Edison P., Muñoz-Bañón, Miguel Ángel, Candelas, Francisco A., Puente, Santiago T., Torres, Fernando
In unstructured outdoor environments, robotics requires accurate and efficient odometry with low computational time. Existing low-bias LiDAR odometry methods are often computationally expensive. To address this problem, we present a lightweight LiDAR
Externí odkaz:
http://arxiv.org/abs/2311.07291
Autor:
Sánchez, Edison P. Velasco, Muñoz-Bañón, Miguel Ángel, Candelas, Francisco A., Puente, Santiago T., Torres, Fernando
Publikováno v:
In IEEE Access, vol. 12, pp. 65428-65443, May. 2024
While Visual Servoing is deeply studied to perform simple maneuvers, the literature does not commonly address complex cases where the target is far out of the camera's field of view (FOV) during the maneuver. For this reason, in this paper, we presen
Externí odkaz:
http://arxiv.org/abs/2311.07268
Autor:
Muñoz-Bañón, Miguel Ángel, Pauls, Jan-Hendrik, Hu, Haohao, Stiller, Christoph, Candelas, Francisco A., Torres, Fernando
Publikováno v:
In IEEE Robotics and Automation Letters, vol. 7, no. 4, pp. 12339-12346, Oct. 2022
Localization in aerial imagery-based maps offers many advantages, such as global consistency, geo-referenced maps, and the availability of publicly accessible data. However, the landmarks that can be observed from both aerial imagery and on-board sen
Externí odkaz:
http://arxiv.org/abs/2207.14042
Autor:
García-Torres, Fernando, Mínguez-Porter, Carmen, Tomás-Chenoll, Julia, Iranzo-Egea, Sofía, Belda-Lois, Juan-Manuel
This preliminary study focuses on the development of a medical image segmentation algorithm based on artificial intelligence for calculating bone growth in contact with metallic implants. %as a result of the problem of estimating the growth of new bo
Externí odkaz:
http://arxiv.org/abs/2204.10560
Autor:
López-De-Ipiña, Karmele, de Lizarduy, Unai Martinez, Barroso, Nora, Ecay-Torres, Miriam, Martinez-Lage, Pablo, Torres, Fernando, Faundez-Zanuy, Marcos
Publikováno v:
2015 4th International Work Conference on Bioinspired Intelligence (IWOBI), pp. 101-104
Alzheimer's disease (AD) is one the main causes of dementia in the world and the patients develop severe disability and sometime full dependence. In previous stages Mild Cognitive Impairment (MCI) produces cognitive loss but not severe enough to inte
Externí odkaz:
http://arxiv.org/abs/2203.09878
Autor:
Acharya, Jay, Zamary, Anthony R., Alach, Ahmad, Kang, Joseph, Rajamohan, Anandh G., Mamlouk, Mark D., Torres, Fernando
Publikováno v:
In Clinical Imaging November 2024 115
Autor:
Beighley, Adam, Kesbeh, Yazeed, Rahimian, Javad, Vinci, Justin, Wong, Arthur, Torres, Fernando, Scharnweber, Rudi, Jamshidi, Ali, Gabikian, Patrik, Lodin, Kenneth, Girvigian, Michael, Bhattasali, Onita
Publikováno v:
In World Neurosurgery October 2024 190:e403-e412
Autor:
Torres, Fernando, Shedd, Christine, Kaza, Vaidehi, Bollineni, Srinivas, Banga, Amit, Mohanka, Manish R., Ladikos, Nicholas, Wijesinha, Marniker, Mahan, Luke D., Lawrence, Adrian, Joerns, John, Terada, Lance, Timofte, Irina
Publikováno v:
In Heart & Lung September-October 2024 67:137-143
Publikováno v:
In Applied Energy 15 June 2024 364