In this article, we make the case for the new class of Self-aware Cyber-physical Systems. By
bringing together the two established fields of cyber-physical systems and self-aware …

In a computational context, self-awareness (SA) is a capability of an autonomous system to
describe the acquired experience about itself and its surrounding environment with …

Abstract The evolution of Intelligent Transportation Systems in recent times necessitates the
development of self-awareness in agents. Before the intensive use of Machine Learning, the …

This paper proposes a method for detecting anomalies in video data. A Variational
Autoencoder (VAE) is used for reducing the dimensionality of video frames, generating …

The use of machine learning techniques is fundamental for develo** autonomous systems
that can assist humans in everyday tasks. This paper focus on selecting an appropriate …

We propose self-supervised deep algorithms to detect anomalies in heterogeneous
autonomous systems using frontal camera video and IMU readings. Given that the video and …

A novel approach is proposed for multimodal collective awareness (CA) of multiple
networked intelligent agents. Each agent is here considered as an Internet-of-Things (IoT) …

Autonomous aerial surveillance using drone feed is an interesting and challenging research
domain. Along with surveillance, an autonomous device should be capable of detecting …

Due to the rise of autonomous vehicles like drones and cars anomaly detection for better
and robust surveillance becomes prominent for real-time recognition of normal and …

Anomaly detection (AD) in a surveillance scenario is an emerging and challenging field of
research. For autonomous vehicles like drones or cars, it is immensely important to …