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Pedro J Navarro

Showing results (1-10 of 16) with videos related to

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Journal of the Optical Society of America. A, Optics, Image Science, and Vision|February 3, 2016
Automatic detection of microaneurysms in diabetic retinopathy fundus images using the L*a*b color spacePedro J Navarro, Diego Alonso, Kostas Stathis
Sensors (Basel, Switzerland)|January 11, 2025
EdgeNet: An End-to-End Deep Neural Network Pretrained with Synthetic Data for a Real-World Autonomous Driving ApplicationLeanne Miller, Pedro J Navarro, Francisca Rosique
Gigascience|October 20, 2017
Plant phenomics: an overview of image acquisition technologies and image data analysis algorithmsFernando Perez-Sanz, Pedro J Navarro, Marcos Egea-Cortines
Sensors (Basel, Switzerland)|February 16, 2019
A Systematic Review of Perception System and Simulators for Autonomous Vehicles ResearchFrancisca Rosique, Pedro J Navarro, Carlos Fernández, et al.
Sensors (Basel, Switzerland)|December 28, 2016
A Machine Learning Approach to Pedestrian Detection for Autonomous Vehicles Using High-Definition 3D Range DataPedro J Navarro, Carlos Fernández, Raúl Borraz, et al.
Sensors (Basel, Switzerland)|February 28, 2023
Autonomous Vehicle Dataset with Real Multi-Driver Scenes and Biometric DataFrancisca Rosique, Pedro J Navarro, Leanne Miller, et al.
Sensors (Basel, Switzerland)|December 14, 2011
A novel method to increase LinLog CMOS sensors' performance in high dynamic range scenariosAntonio Martínez-Sánchez, Carlos Fernández, Pedro J Navarro, et al.
Sensors (Basel, Switzerland)|May 11, 2016
Machine Learning and Computer Vision System for Phenotype Data Acquisition and Analysis in PlantsPedro J Navarro, Fernando Pérez, Julia Weiss, et al.
Sensors (Basel, Switzerland)|December 4, 2012
Development of a configurable growth chamber with a computer vision system to study circadian rhythm in plantsPedro J Navarro, Carlos Fernández, Julia Weiss, et al.
Sensors (Basel, Switzerland)|July 30, 2016
Defect Detection in Textures through the Use of Entropy as a Means for Automatically Selecting the Wavelet Decomposition LevelPedro J Navarro, Carlos Fernández-Isla, Pedro María Alcover, et al.
Pageof 2

Showing results (1-10 of 16) with videos related to

Sort By:
Pageof 2
Journal of the Optical Society of America. A, Optics, Image Science, and Vision|February 3, 2016
Automatic detection of microaneurysms in diabetic retinopathy fundus images using the L*a*b color spacePedro J Navarro, Diego Alonso, Kostas Stathis
Sensors (Basel, Switzerland)|January 11, 2025
EdgeNet: An End-to-End Deep Neural Network Pretrained with Synthetic Data for a Real-World Autonomous Driving ApplicationLeanne Miller, Pedro J Navarro, Francisca Rosique
Gigascience|October 20, 2017
Plant phenomics: an overview of image acquisition technologies and image data analysis algorithmsFernando Perez-Sanz, Pedro J Navarro, Marcos Egea-Cortines
Sensors (Basel, Switzerland)|February 16, 2019
A Systematic Review of Perception System and Simulators for Autonomous Vehicles ResearchFrancisca Rosique, Pedro J Navarro, Carlos Fernández, et al.
Sensors (Basel, Switzerland)|December 28, 2016
A Machine Learning Approach to Pedestrian Detection for Autonomous Vehicles Using High-Definition 3D Range DataPedro J Navarro, Carlos Fernández, Raúl Borraz, et al.
Sensors (Basel, Switzerland)|February 28, 2023
Autonomous Vehicle Dataset with Real Multi-Driver Scenes and Biometric DataFrancisca Rosique, Pedro J Navarro, Leanne Miller, et al.
Sensors (Basel, Switzerland)|December 14, 2011
A novel method to increase LinLog CMOS sensors' performance in high dynamic range scenariosAntonio Martínez-Sánchez, Carlos Fernández, Pedro J Navarro, et al.
Sensors (Basel, Switzerland)|May 11, 2016
Machine Learning and Computer Vision System for Phenotype Data Acquisition and Analysis in PlantsPedro J Navarro, Fernando Pérez, Julia Weiss, et al.
Sensors (Basel, Switzerland)|December 4, 2012
Development of a configurable growth chamber with a computer vision system to study circadian rhythm in plantsPedro J Navarro, Carlos Fernández, Julia Weiss, et al.
Sensors (Basel, Switzerland)|July 30, 2016
Defect Detection in Textures through the Use of Entropy as a Means for Automatically Selecting the Wavelet Decomposition LevelPedro J Navarro, Carlos Fernández-Isla, Pedro María Alcover, et al.
Pageof 2