3 accepted papers
In this article, we present a perception-based full-stack system for autonomous vehicle following that does not rely on accurate global localization or map data. Our architecture consists of modules for vehicle communication, localization, object tracking, waypoint management, static environment mod…
The successful deployment of deep learning-based techniques for autonomous systems is highly dependent on the data availability for the respective system in its deployment environment. Especially for unstructured outdoor environments, very few datasets exist for even fewer robotic platforms and scen
The potential for deploying autonomous systems can be significantly increased by improving the perception and interpretation of the environment. However, the development of deep learning-based techniques for autonomous systems in unstructured outdoor environments poses challenges due to limited data…