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Found 7 papers, 0 papers with code
Self-awareness in intelligent vehicles: Feature based dynamic Bayesian models for abnormality detection
In this paper, datasets from real experiments of autonomous vehicles performing various tasks used to learn and test a set of switching DBN models.
Self-awareness in Intelligent Vehicles: Experience Based Abnormality Detection
The evolution of Intelligent Transportation System in recent times necessitates the development of self-driving agents: the self-awareness consciousness.
Wikidata on MARS
The rules of inference for the Wikidata ontology can be modelled as a MARPL ontology, with extensions to handle the Wikidata datatypes and functions over these datatypes.
Anomaly Detection in Video Data Based on Probabilistic Latent Space Models
This paper proposes a method for detecting anomalies in video data.
Hierarchy of GANs for learning embodied self-awareness model
In this work, a hierarchical model is introduced by means of a cross-modal Generative Adversarial Networks (GANs) processing high dimensional visual data.
Learning Multi-Modal Self-Awareness Models for Autonomous Vehicles from Human Driving
This paper presents a novel approach for learning self-awareness models for autonomous vehicles.
A Multi-perspective Approach To Anomaly Detection For Self-aware Embodied Agents
This paper focuses on multi-sensor anomaly detection for moving cognitive agents using both external and private first-person visual observations.
