We address the problem of out-of-distribution (OOD) detection for the task of object
detection. We show that residual convolutional layers with batch normalisation produce …

This paper investigates runtime monitoring of perception systems. Perception is a critical
component of high-integrity applications of robotics and autonomous systems, such as self …

The monitoring of the tassel number and tasseling time reflects the maize growth and is
necessary for crop management. However, it mainly depends on field observations, which is …

Safety helmets play a vital role in protecting workers' heads. In order to improve the accuracy
of the detection model in complex environments, such as complex backgrounds and …

Safety and performance are key enablers for autonomous driving: on the one hand we want
our autonomous vehicles (AVs) to be safe, while at the same time their performance (eg …

A false negative in object detection describes an object that was not correctly localised and
classified by a detector. In concurrent work, we introduced five'false negative mechanisms' …

We present a conceptually simple, efficient, and general framework for localization problems
in DETR-like models. We add plugins to well-trained models instead of inefficiently …

Advances in deep learning have revolutionized cyber‐physical applications, including the
development of autonomous vehicles. However, real‐world collisions involving autonomous …

Perception, Planning, and Control form the essential components of autonomy in advanced
air mobility. This work advances the holistic integration of these components to enhance the …

Safety-critical applications require transparency in artificial intelligence (AI) components, but
widely used convolutional neural networks (CNNs) widely used for perception tasks lack …