The Lab
The Autonomous Systems Laboratory is a research group within the Center for Integrated Emergency Management at the University of Agder, Norway. Its main objective is to advance the research front in the area of autonomous systems by developing algorithms and methodologies that enable decision-making in (possibly aerial) robotic, cyberphysical, and embedded systems without human supervision.
Our group conducts both theoretical and applied research. On the one hand, we pursue fundamental contributions in the following areas:
- machine learning
- artificial intelligence
- wireless communications
- signal processing
- control theory
- robotics
On the application side, we target specific goals in the context of mobile communications and information processing for emergency response. Specifically, note that emergency response operations are often impaired by lack of visibility, extreme temperatures or weather, remoteness of the operation site, and other conditions that increase the risk for emergency responders and compromise the success of the mission. In this context, our group is concerned with the application and development of information and communication technologies that alleviate the impact of the aforementioned challenges through enhanced communication and situational awareness capabilities.
To achieve the first of these objectives, the focus is on devising artificial intelligence and optimization algorithms as well as hardware architectures that enable the utilization of autonomous mobile communication infrastructure, such as fleets of unmanned aerial vehicles (UAVs) with on-board base stations. The latter can be swiftly deployed on-site, even before responders arrive, and can provide high-throughput data links to the control center, which can be used to exchange video feeds and sensing information.
The second objective comprises a set of artificial intelligence and signal processing techniques for collecting on-field sensor data, communicate it to the control center, and fuse the available heterogeneous sources of information to achieve seamless scene understanding with minimum human intervention. The aforementioned mobile infrastructure will also be leveraged to this end, both for data collection and communication purposes.
News
- Jan. 22, 2023. Check our new submission "Aerial Base Station Placement via Propagation Radio Maps".
- Dec. 23, 2022. We are pleased to announce the opening of a PhD position in our AirBonnet project. Deadline: Jan. 31, 2023.
- Nov. 8, 2022. Check our new submission "Spoofing Attack Detection in the Physical Layer with Commutative Neural Networks".
- Aug. 11, 2022. Our article "Radio Map Estimation: A Data-Driven Approach to Spectrum Cartography " has been accepted at the IEEE Signal Processing Magazine.
- Jul. 31, 2022. Our paper "Spectrum Surveying: Active Radio Map Estimation with Autonomous UAVs" has been accepted at the IEEE Transactions on Wireless Communications.
- May. 5, 2022. Our paper "Implicit Channel Charting with Application to UAV-aided Localization" has been accepted at the IEEE International Workshop on Signal Processing Advances in Wireless Communications, Oulu, Finland, July 4-6, 2022.
- Apr. 21, 2022. We are pleased to announce the opening of a PhD position in our project AirBonnet, which deals with providing wireless connectivity in crowded or remote areas as well as in emergency situations. Deadline: May 23.
- Apr. 20, 2022. Our paper "Aerial Base Station Placement Leveraging Radio Tomographic Maps" will be presented at the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2022), Singapore.
- Apr. 20, 2022. Our paper "Fast Graph Filters for Decentralized Subspace Projection" will be presented at the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2022), Singapore.
- Mar. 19, 2022. Check out our new submission "Implicit Channel Charting with Application to UAV-aided Localization".
- Mar. 3, 2022. Our paper "Aerial Base Station Placement: A Tutorial Introduction" has been accepted at the IEEE Communications Magazine.
- Feb. 1, 2022. Next Feb. 15, Daniel will be joining the Dept. of ECE of the University of California, San Diego, as a visiting scholar.
- Feb. 1, 2022. Check out our new submission "Radio Map Estimation: A Data-Driven Approach to Spectrum Cartography ". This is a collaboration with Prof. Seung-Jun Kim from the University of Maryland, Baltimore County, and has been submitted to the IEEE Signal Processing Magazine.
- Jan. 22, 2022. Our paper " Aerial Base Station Placement Leveraging Radio Tomographic Maps" has been accepted at the IEEE International Conference on Acoustics, Speech, and Signal Processing, to be held in May 2022 in Singapore.
- Jan. 19, 2022. Our paper " Robust Sum-Rate Maximization for Underlay Device-to-Device Communications on Multiple Channels" has been accepted for publication in the IEEE Transactions on Vehicular Technology.
- Jan. 12, 2022. Our paper " Spectrum surveying: active radio map estimation with autonomous UAVs" has been submitted to the IEEE Transactions on Wireless Communications.
- Oct. 5, 2021. Check out our new submission "Aerial Base Station Placement: A Gentle Introduction ".
- Aug. 14, 2021. Our paper "Deep Completion Autoencoders for Radio Map Estimation" has been accepted for publication in the IEEE Transactions on Wireless Communications.