Search Results - "Vielhaus, Christian L."

Comparison of Analyze-Then-Compress Methods in Edge-Assisted Visual SLAM by Hofer, Johannes, Sossalla, Peter, Vielhaus, Christian L., Rischke, Justus, Reisslein, Martin, Fitzek, Frank H. P.

“…In edge-assisted visual Simultaneous Localization and Mapping (SLAM), mobile devices offload computationally intensive tasks to an edge cloud. The mobile…”
Get full text

Machine Learning for QoS Prediction in Vehicular Communication: Challenges and Solution Approaches by Palaios, Alexandros, Vielhaus, Christian L., Kulzer, Daniel F., Watermann, Cara, Hernangomez, Rodrigo, Partani, Sanket, Geuer, Philipp, Krause, Anton, Sattiraju, Raja, Kasparick, Martin, Fettweis, Gerhard, Fitzek, Frank H. P., Schotten, Hans D., Stanczak, Slawomir

“…As cellular networks evolve towards the 6th generation, machine learning is seen as a key enabling technology to improve the capabilities of the network…”
Get full text

Circular Frame Buffer to Enhance Map Synchronization in Edge Assisted SLAM by Hofer, Johannes, Sossalla, Peter, Rischke, Justus, Vielhaus, Christian L., Reisslein, Martin, Fitzek, Frank H. P.

“…Visual Simultaneous Localization and Mapping (SLAM) systems have their numerous applications in robotics and autonomous driving. Computational offloading…”
Get full text

Deep Reinforcement Learning for the Joint Control of Traffic Light Signaling and Vehicle Speed Advice by Busch, Johannes V. S., Voelckner, Robert, Sossalla, Peter, Vielhaus, Christian L., Calandra, Roberto, Fitzek, Frank H. P.

“…Traffic congestion in dense urban centers presents an economical and environmental burden. In recent years, the availability of vehicle- to-anything…”
Get full text

Experiment as Code - An Automated Testbed for Cloud Scaling and Operations by Latzko, Vincent, Jia, Zhenzhen, Vielhaus, Christian L., Mehrabi, Mahshid, Fitzek, Frank H. P.

“…Cloud Computing has been widely adopted in industry, administrations, as well as research. At the same time, development and testing of new technologies is…”
Get full text

Remote Controlling Mobile Robots with Adaptive Video Streaming and Augmented Reality by Sossalla, Peter, Steinke, Jannek, Vielhaus, Christian L., Hofer, Johannes, Rischke, Justus, Fitzek, Frank H. P.

“…New generations of mobile robots enable to access challenging and dangerous environments such as oil platforms. To remotely control the mobile robot, the…”
Get full text

Estimating Link Capacity with Uncertainty Bounds in Cellular Networks by Vielhaus, Christian L., Lhamo, Osel, Busch, Johannes V. S., Rischke, Justus, Latzko, Vincent, Zimmermann, Sandra, Sossalla, Peter, Kulzer, Daniel F., Fitzek, Frank H.P.

“…Machine learning (ML) equips next-generation networks with anticipatory capabilities. End-to-end predictive Quality of Service (pQoS) leverages ML models to…”
Get full text

Demo: The Future of Dog Walking - Four-Legged Robots and Augmented Reality by Steinke, Jannek, Rischke, Justus, Sossalla, Peter, Hofer, Johannes, Vielhaus, Christian L., Hofe, Nico Vom, Frank Fitzek, H. P.

“…New generations of mobile networks are opening up novel possibilities for controlling robots remotely in real-time. With 5G's requirement to support use cases…”
Get full text

Demo: Robotics meets Augmented Reality: Real-Time Mapping with Boston Dynamics Spot and Microsoft HoloLens 2 by Hofe, Nico Vom, Sossalla, Peter, Hofer, Johannes, Vielhaus, Christian L., Rischke, Justus, Steinke, Jannek, Fitzek, Frank H. P.

“…In recent years, Simultaneous Localization and Mapping (SLAM) algorithms have gained popularity in the field of robotics for generating maps of environments…”
Get full text

Deep Reinforcement Learning for the Joint Control of Traffic Light Signaling and Vehicle Speed Advice by Busch, Johannes V. S, Voelckner, Robert, Sossalla, Peter, Vielhaus, Christian L, Calandra, Roberto, Fitzek, Frank H. P

“…Traffic congestion in dense urban centers presents an economical and environmental burden. In recent years, the availability of vehicle-to-anything…”
Get full text

Machine Learning for QoS Prediction in Vehicular Communication: Challenges and Solution Approaches by Palaios, Alexandros, Vielhaus, Christian L, Külzer, Daniel F, Watermann, Cara, Hernangomez, Rodrigo, Partani, Sanket, Geuer, Philipp, Krause, Anton, Sattiraju, Raja, Kasparick, Martin, Fettweis, Gerhard, Fitzek, Frank H. P, Schotten, Hans D, Stanczak, Slawomir

“…As cellular networks evolve towards the 6th generation, machine learning is seen as a key enabling technology to improve the capabilities of the network…”
Get full text