Compressing ROS Sensor and Geometry Messages with Draco
Thomas Wiemann, Felix Igelbrink, Sebastian Pütz, Malte Kleine Piening, Steffen Schupp, Steffen Hinderink, Juri Vana, Joachim Hertzberg
In Proc., (SSRR-2019), 02.9.-04.9.2019, Würzburg, IEEE Press Press, 2019.
Abstract
:
Current development in sensor technology allows to capture high detailed geometric 3D environment models fast and online with laser scanners or RGB-D cameras. However, in most rescue and service scenarios, the available bandwidth between operator and controlled robots is limited. In this paper, we integrate Google’s geometry compression library Draco into ROS to reduce the required bandwidth when sending geometry data from a remote-controlled robot to a RViz instance running on the operator’s computer. Besides a prototypical implementation, we present an in-depth analysis of the achievable compression rates, accuracy and resulting latency when using Draco for this purpose.
