3 papers
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
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…