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...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Open Journal of Intelligent Transportation Systems |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10849578/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|