Towards Explainable Pedestrian Behavior Prediction: A Neuro-Symbolic Framework for Autonomous Driving

Towards Explainable Pedestrian Behavior Prediction: A Neuro-Symbolic Framework for Autonomous Driving

In the context of autonomous driving, predicting pedestrian behavior is a critical component for enhancing road safety. Currently, the focus of such predictions extends beyond accuracy and reliability, placing increasing emphasis on the explainability and interpretability of the models. This researc...

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Bibliographic Details
Main Authors: Angie Nataly Melo Castillo, Carlota Salinas Maldonado, Miguel Ángel Sotelo
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Applied Sciences
Subjects:
autonomous driving
explainability
interpretability
pedestrian behavior prediction
neuro-symbolic
dataset selection
Online Access:https://www.mdpi.com/2076-3417/15/11/6283
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