15 citations · 16 across the 2 of their papers we have counts for
6 papers
Self-awareness in intelligent vehicles: Feature based dynamic Bayesian models for abnormality detection
Divya Thekke Kanapram, Pablo Marin-Plaza, Lucio Marcenaro +3
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 dete…
Self-awareness in Intelligent Vehicles: Experience Based Abnormality Detection
Divya Kanapram, Pablo Marin-Plaza, Lucio Marcenaro +3
The evolution of Intelligent Transportation System in recent times necessitates the development of self-driving agents: the self-awareness consciousness. This paper aims to introdu…
Anomaly Detection in Video Data Based on Probabilistic Latent Space Models
Giulia Slavic, Damian Campo, Mohamad Baydoun +4
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 latent space…
Hierarchy of GANs for learning embodied self-awareness model
Mahdyar Ravanbakhsh, Mohamad Baydoun, Damian Campo +4
In recent years several architectures have been proposed to learn embodied agents complex self-awareness models. In this paper, dynamic incremental self-awareness (SA) models are p…
Learning Multi-Modal Self-Awareness Models for Autonomous Vehicles from Human Driving
Mahdyar Ravanbakhsh, Mohamad Baydoun, Damian Campo +4
This paper presents a novel approach for learning self-awareness models for autonomous vehicles. The proposed technique is based on the availability of synchronized multi-sensor dy…
A Multi-perspective Approach To Anomaly Detection For Self-aware Embodied Agents
Mohamad Baydoun, Mahdyar Ravanbakhsh, Damian Campo +5
This paper focuses on multi-sensor anomaly detection for moving cognitive agents using both external and private first-person visual observations. Both observation types are used t…