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ORCIDJon Gutiérrez-Zaballa
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2020 – today
- 2025
[i8]Óscar Mata-Carballeira, Jon Gutiérrez-Zaballa
, Inés del Campo, Victoria Martínez:
An FPGA-Based Neuro-Fuzzy Sensor for Personalized Driving Assistance. CoRR abs/2501.16212 (2025)- [i7]Estibaliz Asua, Jon Gutiérrez-Zaballa, Óscar Mata-Carballeira, Jon Ander Ruiz, Inés del Campo:
Analysis of the Motion Sickness and the Lack of Comfort in Car Passengers. CoRR abs/2501.17664 (2025) - 2024
- [j3]Jon Gutiérrez-Zaballa, Koldo Basterretxea, Javier Echanobe:
Evaluating single event upsets in deep neural networks for semantic segmentation: An embedded system perspective. J. Syst. Archit. 154: 103242 (2024) - [c5]Jon Gutiérrez-Zaballa, Koldo Basterretxea, Javier Echanobe:
Designing DNNs for a trade-off between robustness and processing performance in embedded devices*. DCIS 2024: 1-6 - [i6]Jon Gutiérrez-Zaballa, Koldo Basterretxea, Javier Echanobe, M. Victoria Martínez, Unai Martinez-Corral:
HSI-Drive v2.0: More Data for New Challenges in Scene Understanding for Autonomous Driving. CoRR abs/2411.17530 (2024) - [i5]Jon Gutiérrez-Zaballa, Koldo Basterretxea, Javier Echanobe, Óscar Mata-Carballeira, M. Victoria Martínez:
Rapid Deployment of Domain-specific Hyperspectral Image Processors with Application to Autonomous Driving. CoRR abs/2411.17543 (2024) - [i4]Jon Gutiérrez-Zaballa, Koldo Basterretxea, Javier Echanobe, M. Victoria Martínez, Unai Martinez-Corral, Óscar Mata-Carballeira, Inés del Campo:
On-chip Hyperspectral Image Segmentation with Fully Convolutional Networks for Scene Understanding in Autonomous Driving. CoRR abs/2411.19274 (2024) - [i3]Jon Gutiérrez-Zaballa, Koldo Basterretxea, Javier Echanobe:
Evaluating Single Event Upsets in Deep Neural Networks for Semantic Segmentation: an embedded system perspective. CoRR abs/2412.03630 (2024) - [i2]Jon Gutiérrez-Zaballa, Koldo Basterretxea, Javier Echanobe:
Designing DNNs for a trade-off between robustness and processing performance in embedded devices. CoRR abs/2412.03682 (2024) - [i1]Jon Gutiérrez-Zaballa, Koldo Basterretxea, Javier Echanobe, M. Victoria Martínez, Inés del Campo:
Exploring Fully Convolutional Networks for the Segmentation of Hyperspectral Imaging Applied to Advanced Driver Assistance Systems. CoRR abs/2412.03982 (2024) - 2023
- [j2]Jon Gutiérrez-Zaballa, Koldo Basterretxea, Javier Echanobe, M. Victoria Martínez, Unai Martinez-Corral, Óscar Mata-Carballeira, Inés del Campo:
On-chip hyperspectral image segmentation with fully convolutional networks for scene understanding in autonomous driving. J. Syst. Archit. 139: 102878 (2023) - [c4]Jon Gutiérrez-Zaballa, Koldo Basterretxea, Javier Echanobe, Óscar Mata-Carballeira, M. Victoria Martínez:
Rapid Deployment of Domain-specific Hyperspectral Image Processors with Application to Autonomous Driving. ICECS 2023: 1-6 - [c3]Jon Gutiérrez-Zaballa, Koldo Basterretxea, Javier Echanobe, M. Victoria Martínez, Unai Martinez-Corral:
HSI-Drive v2.0: More Data for New Challenges in Scene Understanding for Autonomous Driving. SSCI 2023: 207-214 - 2022
- [c2]Jon Gutiérrez-Zaballa, Koldo Basterretxea, Javier Echanobe, M. Victoria Martínez, Inés del Campo:
Exploring Fully Convolutional Networks for the Segmentation of Hyperspectral Imaging Applied to Advanced Driver Assistance Systems. DASIP 2022: 136-148 - 2021
- [c1]Koldo Basterretxea, Victoria Martínez, Javier Echanobe, Jon Gutiérrez-Zaballa, Inés del Campo:
HSI-Drive: A Dataset for the Research of Hyperspectral Image Processing Applied to Autonomous Driving Systems. IV 2021: 866-873
2010 – 2019
- 2019
- [j1]Óscar Mata-Carballeira, Jon Gutiérrez-Zaballa, Inés del Campo, Victoria Martínez:
An FPGA-Based Neuro-Fuzzy Sensor for Personalized Driving Assistance. Sensors 19(18): 4011 (2019)
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