Bridging the Semantic Gap in Autonomous Braking Systems: A Neuro-Symbolic XAI Approach
Contemporary deep learning systems in autonomous vehicles extend beyond speed and accuracy toward interpretability and trustworthiness. Regulators, safety engineers, and end-users increasingly demand transparency in how these systems operate. Deep learning models are helpful in many fields of life for human beings but...