We offer the following lectures, seminars, and lab projects.
Introduction to Distributed Sensor Data Fusion
Lecture on basic principles, requirements, and methods of sensor data processing. Since data are more often gathered by networked sensor systems, this lecture places particular emphasis on distributed sensor data fusion methods that can be applied in sensor networks.
Object Detection and Fusion in a Camera Network
Lab project on object localization in a camera network. Distrbuted sensor fusion methods are implemented to track objects with distributed cameras.
Shape Tracking with Event Cameras
Lab project on extended-object tracking with event cameras. New algorithms are developed to estimate pose and shape of an extended object using asynchronous measurements.
Principles of Estimation and Secure Sensor Data Processing
Scientific Seminar on estimation and secure sensor data processing. Different overview articles on methods and applications are studied and presented.
Optimization for Distributed Estimation and Learning
Seminar on convex optimization, which is an essential tool in robotics, machine learning, statistics and other disciplines.
Advanced Estimation Methods for Autonomous Robotic Systems
Seminar on modern estimation methods for autonomous systems. This seminar deepens the topics of the lecture Estimation for Autonomous Mobile Robots.