Special session on: “SS-L2: Signal Processing for Autonomous and Self Aware systems”
Session Type: Lecture
Time: Tuesday, April 17, 16:00 – 18:00
Location: Glen 201-202
Session Chairs: Lucio Marcenaro, University of Genoa, Carlo S. Regazzoni, University of Genova and Konstantinos N. Plataniotis, University of Toronto
Summary:
The main topic of the proposed Special Session is autonomous and self-aware systems. The recent development of novel Signal Processing techniques allows a new level of awareness in artificial systems. In the last decade, the increasing role of information and communication technologies tools in the modern society has led to research challenges towards the study and development of innovative applications aiming at improving quality of life, supporting human everyday tasks and fulfilling urgent society needs. However, often the focus of such applications has been systems that are built and programmed to perform a certain stream of actions when they recognize specific situations.
This Special Session reflects current state-of-the-art approaches for Signal Processing for Autonomous and Self Aware Systems. In particular, contributions related to the impact of deep learning onto signal processing methods for autonomous systems, self aware signal processing (eg tracking , etc.), the role of time and context in signal processing for autonomous systems, signal processing and control theory: new frontiers, the necessity of a different dynamical semantic for model driven signal processing, signal processing for incremental learning, have been published.
| SS-L2.1: EVENT-TRIGGERED PARTICLE FILTERING VIA DIFFUSION STRATEGIES FOR DISTRIBUTED ESTIMATION IN AUTONOMOUS SYSTEMS |
| Somayeh Davar; Concordia University |
| Arash Mohammadi; Concordia University |
| Konstantinos N. Plataniotis; University of Toronto |
| SS-L2.2: A NOVEL EGO-NOISE SUPPRESSION ALGORITHM FOR ACOUSTIC SIGNAL ENHANCEMENT IN AUTONOMOUS SYSTEMS |
| Alexander Schmidt; Friedrich-Alexander University Erlangen-Nuernberg |
| Heinrich Loellmann; Friedrich-Alexander University Erlangen-Nuernberg |
| Walter Kellermann; Friedrich-Alexander University Erlangen-Nuernberg |
| SS-L2.3: AN ARCHITECTURE FOR SELF-AWARE IOT APPLICATIONS |
| Lukas Esterle; Aston University |
| Bernhard Rinner; Alpen-Adria-Universitaet Klagenfurt |
| SS-L2.4: SHARED HUMAN-MACHINE CONTROL FOR SELF-AWARE PROSTHESES |
| Henrique Dantas; Oregon State University |
| Jacob Nieven; University of Utah |
| Tyler Davis; University of Utah |
| Xiao Fu; Oregon State University |
| Gregory Clark; University of Utah |
| David Warren; University of Utah |
| V John Mathews; Oregon State University |
| SS-L2.5: A MULTI-PERSPECTIVE APPROACH TO ANOMALY DETECTION FOR SELF-AWARE EMBODIED AGENTS |
| Mohamad Baydoun; University of Genoa |
| Mahdyar Ravanbakhsh; University of Genoa |
| Damian Campo; University of Genoa |
| Pablo Marin; Carlos III University of Madrid |
| David Martin; Carlos III University of Madrid |
| Lucio Marcenaro; University of Genoa |
| Andrea Cavallaro; Queen Mary University of London |
| Carlo Regazzoni; University of Genoa |
| SS-L2.6: CONCURRENT TARGET FOLLOWING WITH ACTIVE DIRECTIONAL SENSORS |
| Yiming Wang; Queen Mary University of London |
| Andrea Cavallaro; Queen Mary University of London |