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: Baranowski, J. (Author), Dworak, D. (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
autonomous vehicle
Autonomous vehicles
Autonomous Vehicles
explainable AI
Explainable AI
grad-CAM
Grad-CAM
Internal representation
LiDAR
Model development
Network architecture
Neural network architecture
Neural-networks
Object detection
Object recognition
Objects detection
Optical radar
pointcloud
Point-clouds
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