In the last few years, due to the continuous advancement of technology, human behavior
detection and recognition have become important scientific research in the field of computer …

Deep neural networks (DNN) which are employed in perception systems for autonomous
driving require a huge amount of data to train on, as they must reliably achieve high …

In this work, we propose SENA, a run-time monitor focused on detecting unreliable
predictions from machine learning (ML) classifiers. The main idea is that instead of trying to …

With the increasing use of neural networks in critical systems, runtime monitoring becomes
essential to reject unsafe predictions during inference. Various techniques have emerged to …

In the last few years, due to the continuous advancement of technology, human behavior
detection and recognition have become important scientific research in the field of computer …

With the increasing deployment of neural networks in critical systems, runtime monitoring
plays a critical role in rejecting unsafe predictions during inference. Various techniques have …

Perception-based advanced driver-assistance systems (ADAS) are widely applied in
modern vehicles to assist drivers by increasing the vehicle's safe operation. This perception …