Bernhard Rinner

Persistent surveillance is the task of continuously monitoring an environment over a long period of time. Many multi-robot applications, including disaster response, security tasks as well as exploration and mapping, can be represented as a persistent surveillance problem. Understanding the problem’s properties and developing efficient algorithms for solving the problem […]

Autonomous systems are able to make decisions and potentially take actions without direct human intervention, which requires some knowledge about the system and its environment as well as goal-oriented reasoning. Autonomous systems will undoubtedly pervade into our everyday lives, and we will find them in a variety of domains and […]

An interview with Subhan Ullah by Romy Müller To simplify our daily routines, devices designed for the “Internet of Things (IoT)” are usually equipped with cameras that can record images and videos, and transmit these to other devices. Subhan Ullah’s research focuses on increasing the security of these systems, which […]

Many multi-camera applications rely on the knowledge of the spatial relationship among the individual nodes. However, establishing such a network-wide calibration is typically a time-consuming task and requires user interaction. In her recent work, Jennifer Simonjan developed a decentralized and resource-aware algorithm for estimating the poses of all camera nodes […]

What has started as a bachelor thesis on camera networks has evolved into a startup company with a staff of five people. Bernhard Rinner In 2014 Michael Gruber started his bachelor thesis at the Pervasive Computing group by investigating different software tools for simulating distributed algorithms in multi-camera networks. Together […]