Verifying Robustness of Neural Networks in Vision-Based End-to-End Autonomous Driving

Verifying Robustness of Neural Networks in Vision-Based End-to-End Autonomous Driving

This paper addresses the verification of neural network robustness against perturbations of input data in vision-based end-to-end autonomous driving systems. The main contributions of this work are: i) We provide a comprehensive analysis of current neural-network-based perception and decision-making...

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Bibliographic Details
Main Authors: Cinzia Bernardeschi, Giuseppe Lami, Francesco Merola, Federico Rossi
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Autonomous driving systems
neural networks
robustness verification
statistical analysis
Online Access:https://ieeexplore.ieee.org/document/10971936/
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https://ieeexplore.ieee.org/document/10971936/

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