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

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

5 December 2024
Jon Gutiérrez-Zaballa
Koldo Basterretxea
Javier Echanobe
M. Victoria Martínez
Inés del Campo
ArXivPDFHTML

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

4 / 4 papers shown
Title
On-chip Hyperspectral Image Segmentation with Fully Convolutional
  Networks for Scene Understanding in Autonomous Driving
On-chip Hyperspectral Image Segmentation with Fully Convolutional Networks for Scene Understanding in Autonomous Driving
Jon Gutiérrez-Zaballa
Koldo Basterretxea
Javier Echanobe
M. Victoria Martínez
Unai Martínez-Corral
Óscar Mata-Carballeira
Inés del Campo
105
17
0
28 Nov 2024
Rapid Deployment of Domain-specific Hyperspectral Image Processors with
  Application to Autonomous Driving
Rapid Deployment of Domain-specific Hyperspectral Image Processors with Application to Autonomous Driving
Jon Gutiérrez-Zaballa
Koldo Basterretxea
Javier Echanobe
Óscar Mata-Carballeira
M. Victoria Martínez
84
3
0
26 Nov 2024
HSI-Drive v2.0: More Data for New Challenges in Scene Understanding for
  Autonomous Driving
HSI-Drive v2.0: More Data for New Challenges in Scene Understanding for Autonomous Driving
Jon Gutiérrez-Zaballa
Koldo Basterretxea
Javier Echanobe
M. Victoria Martínez
Unai Martínez-Corral
3DV
94
8
0
26 Nov 2024
Hyperspectral Imaging-Based Perception in Autonomous Driving Scenarios:
  Benchmarking Baseline Semantic Segmentation Models
Hyperspectral Imaging-Based Perception in Autonomous Driving Scenarios: Benchmarking Baseline Semantic Segmentation Models
Imad Ali Shah
Jiarong Li
M. Glavin
Edward Jones
Enda Ward
B. Deegan
42
0
0
29 Oct 2024
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