PhD Course: Fundamentals and Advances in Localization for Cognitive Buildings
This course provides a thorough introduction to the basics and advanced concepts of localization, with a special emphasis on IoT-based applications. Understanding localization methods and technologies is critical for the creation of smart and cognitive environments as our world becomes more connected and intelligent. The course starts with an overview of IoT-based smart sensors, cognitive buildings, and smart technologies, laying the groundwork for a more in-depth exploration of localization. The foundations of measurement methods and algorithms, as well as the various categorizations and sensors used in localization systems, will be covered. Practical examples will be given, providing real-world context and applications for the ideas being discussed. The importance of IoT in localization will be explored throughout the course, including the use of wireless technologies such as WiFi, BLE, and UWB radar. In addition, to demonstrate the wide applicability of these methods, the course will address interdisciplinary aspects of localization, such as joint localization and human activity recognition. Finally, the course will conclude with a review of the current state of the art in localization and a discussion of future trends, preparing participants to add to the quickly evolving field. This course provides a thorough grasp of the complex landscape of localization through a combination of theoretical and practical components, equipping participants with the knowledge and skills needed to excel in the creation and deployment of IoT-based localization systems.
seminar room - 5th floor, cube 42C
12 h - 3 CFU