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cs.CV2026

Challenges in Hyperspectral Imaging for Autonomous Driving: The HSI-Drive Case

Koldo Basterretxea, Jon Gutiérrez-Zaballa, Javier Echanobe

The use of hyperspectral imaging (HSI) in autonomous driving (AD), while promising, faces many challenges related to the specifics and requirements of this application domain. On t…

cs.CV2025

Optimization of DNN-based HSI Segmentation FPGA-based SoC for ADS: A Practical Approach

Jon Gutiérrez-Zaballa, Koldo Basterretxea, Javier Echanobe

The use of HSI for autonomous navigation is a promising research field aimed at improving the accuracy and robustness of detection, tracking, and scene understanding systems based…

cs.CV2024

Exploring Fully Convolutional Networks for the Segmentation of Hyperspectral Imaging Applied to Advanced Driver Assistance Systems

Jon Gutiérrez-Zaballa, Koldo Basterretxea, Javier Echanobe +2

Advanced Driver Assistance Systems (ADAS) are designed with the main purpose of increasing the safety and comfort of vehicle occupants. Most of current computer vision-based ADAS p…

cs.CV2024

Evaluating Single Event Upsets in Deep Neural Networks for Semantic Segmentation: an embedded system perspective

Jon Gutiérrez-Zaballa, Koldo Basterretxea, Javier Echanobe

As the deployment of artifical intelligence (AI) algorithms at edge devices becomes increasingly prevalent, enhancing the robustness and reliability of autonomous AI-based percepti…

cs.CV2024

On-chip Hyperspectral Image Segmentation with Fully Convolutional Networks for Scene Understanding in Autonomous Driving

Jon Gutiérrez-Zaballa, Koldo Basterretxea, Javier Echanobe +4

Most of current computer vision-based advanced driver assistance systems (ADAS) perform detection and tracking of objects quite successfully under regular conditions. However, unde…

cs.CV2024

Rapid Deployment of Domain-specific Hyperspectral Image Processors with Application to Autonomous Driving

Jon Gutiérrez-Zaballa, Koldo Basterretxea, Javier Echanobe +2

The article discusses the use of low cost System-On-Module (SOM) platforms for the implementation of efficient hyperspectral imaging (HSI) processors for application in autonomous…