Safety-Critical Oracles for Metamorphic Testing of Deep Learning LiDAR Point Cloud Object Detectors

Safety-Critical Oracles for Metamorphic Testing of Deep Learning LiDAR Point Cloud Object Detectors

Robustness testing is crucial for verifying autonomous vehicles, especially for safety-critical deep learning components like light detection and ranging (LiDAR) object detectors. Metamorphic testing (MT) assesses the robustness by automatically generating test cases based on abstract system specifi...

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Bibliographic Details
Main Authors: Simon Speth, Maximilian Trien, Dominik Kufer, Alexander Pretschner
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Open Journal of Intelligent Transportation Systems
Subjects:
Metamorphic testing
LiDAR point clouds
object detection
deep learning
autonomous vehicles
Online Access:https://ieeexplore.ieee.org/document/10849578/
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