Open access
2024
Explainable Deep Learning Framework for Autonomous Transportation Safety
The proposed framework comprises sensor fusion, image processing, feature extraction, deep neural network inference and explainability mechanisms such as Gradient-weighted Class Activation Mapping, Local Interpretable Model-Agnostic Explanations and SHapley Additive exPlanations.
Johan Håstad's mentor Arne Andersson, Börje Langefors
· International Journal of Eme... · 0 citations