Carlos Vidal

Sensor Fusion

The aim in sensor fusion is to extract information from several sensors using model-based filtering for supervision, decision making or control purposes.

Charging Infrastructure and Electric Grids

The electrification of society has begun and is expected to accelerate at an ever faster pace in order to achieve the environmental goals.

WASP at Department of Electrical Engineering (ISY)

WASP Computer Vision Laboratory, WASP Sensor fusion, WASP Vehicular Systems and WASP Optimization for Learning and Autonomy are located at the Department of Electrical Engineering (ISY) on Campus Valla in Linköping.

Research arena Visionen

Visionen is a state-of-the-art research arena that provides a unique environment for experimental research and education. Visionen is operated by the Department of Electrical Engineering (ISY).

SEDDIT

SEDDIT is a competence center funded within the framework of Vinnova's initiative in Advanced Digitalization, where universities and companies collaborate to conduct research and education in digital societal transformation.

Wireless Communications for Distributed Intelligence

This project aims at establishing a general framework for the joint design of information processing and wireless resource allocation to achieve communication efficiency and reliability in decentralized Machine Learning systems.

Data-based Ship Modeling for Marine Automation

How can sensor data and data-based modeling be used to make cargo ships more efficient, with the long-term goal to develop fully autonomous ships? This is the topic in this industry-oriented research project.

LINK-SIC - Linköping Center for Sensor Informatics and Control

LINK-SIC is a Vinnova Competence Center for industry-academia cooperation in the general area of control systems and signal processing.

RadioWeaves – physical-layer infrastructure for 6G wireless communication

RadioWeaves is an emerging physical-layer wireless access infrastructure, in which a fabric of distributed radio devices and computing resources serve as a massive distributed antenna array.

Robotics and Autonomous Systems

This research area encompasses a wide range of applications from industrial robots and automobiles to trucks and airborne vehicles.

Energy Storage

Energy storage is about designing and optimizing systems to make the best use of batteries and fuel cells. Our research aims to design energy storage systems that make optimal use of batteries or fuel cells in a safe way.

Fault Diagnostics and Prognostics

Fault diagnosis is about using observations, such as sensor signals, and a mathematical model of a technical system, to detect and diagnose abnormal system behavior.

Autonomy and Vehicle Control

Autonomous cars and automated transport has the potential to increase efficiency and safety. Our research aims at methods for realizing resiliant and robust automation of vehicles under significant uncertainties in sensing and surrounding vehicles.

Mechanical Manipulators

The application area mechanical manipulators covers different types of kinematic structures such as serial, closed kinematic chain type, and different wire based crane systems.

Software packages from Vehicular Systems

Here you find freely available software packages developed at the division Vehicular Systems at Linköpings University. Links to relevant papers can be found on the page for each program package.

Complex Networks Dynamics and Control

Complex networked systems appear in a broad range of Engineering, Social and Biological applications. Our research aims at developing suitable dynamical models and distributed control methods.

System Identification

System identification deals with building a mathematical model of the input-output behavior of a dynamical system from measurements of its input and output signals.

Autonoma system och fordonsmanovrar

Marine Vessels

The research within the application area Marine vessels is focused on support and advisory systems for marine automation.

Smart savannahs

With the help of modern security technology, apps and drones, endangered rhinoceros and elephants can be protected from poachers.

Reinforcement Learning for Partially Observable Dynamical systems

This project aims at developing end-to-end model-free Reinforcement Learning (RL) algorithms, for control of partially observable dynamical systems with continuous state and control spaces.