Justus Rischke

Apr 29, 2024 | fis.tu-dresden.de | Peter Sossalla |Johannes Hofer |Justus Rischke |Christian L. Vielhaus

Existing Visual Simultaneous Localization And Mapping (vSLAM) approaches that offload the complex self-localization computations from mobile robots over a wireless network to edge computing are limited to static offloading, i.e., the offloaded computation tasks are offloaded permanently.

Jun 1, 2023 | fis.tu-dresden.de | Johannes Hofer |Deutsche Telekom Chair |Peter Sossalla |Justus Rischke

Visual Simultaneous Localization and Mapping (SLAM) systems have their numerous applications in robotics and autonomous driving. Computational offloading enables the computationally demanding Visual SLAM systems to run on hardware-constrained mobile devices, such as Unmanned Aerial Vehicles (UAVs) and Automated Guided Vehicles (AGVs). The offloading of SLAM modules to a central server also enables cooperative collaboration between multiple mobile devices.