Adaptation of Grad-CAM Method to Neural Network Architecture for LiDAR Pointcloud Object Detection

Adaptation of Grad-CAM Method to Neural Network Architecture for LiDAR Pointcloud Object Detection

Explainable Artificial Intelligence (XAI) methods demonstrate internal representation of data hidden within neural network trained weights. That information, presented in a form readable to humans, could be remarkably useful during model development and validation. Among others, gradient-based metho...

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Bibliographic Details
Main Authors: Daniel Dworak, Jerzy Baranowski
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Energies
Subjects:
explainable AI
grad-CAM
LiDAR
pointcloud
autonomous vehicle
Online Access:https://www.mdpi.com/1996-1073/15/13/4681

Internet

https://www.mdpi.com/1996-1073/15/13/4681

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