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MetaSem: metamorphic testing based on semantic information of autonomous driving scenes
Z Yang, S Huang, T Bai, Y Yao, Y Wang… - Software Testing …, 2024 - Wiley Online Library
The development of artificial intelligence and information communication technology has
significantly propelled advancements in autonomous driving. The advent of autonomous …
significantly propelled advancements in autonomous driving. The advent of autonomous …
Lateral-direction localization attack in high-level autonomous driving: Domain-specific defense opportunity via lane detection
Localization in high-level Autonomous Driving (AD) systems is highly security critical.
Recently, researchers found that state-of-the-art Multi-Sensor Fusion (MSF) based …
Recently, researchers found that state-of-the-art Multi-Sensor Fusion (MSF) based …
[HTML][HTML] Image Segmentation Framework for Detecting Adversarial Attacks for Autonomous Driving Cars
The widespread deployment of deep neural networks (DNNs) in critical real-time
applications has spurred significant research into their security and robustness. A key …
applications has spurred significant research into their security and robustness. A key …
Deep saliency map generators for multispectral video classification
Despite their black box nature, deep neural networks have been successfully used in
practical applications lately. In areas where the results of these applications can lead to …
practical applications lately. In areas where the results of these applications can lead to …