Modeling and tracking the driving environment is a complex problem due to the
heterogeneous nature of the real world. In many situations, modeling the obstacles and the …

In this paper we introduce a novel cloud robotics architecture that provides different
functionalities to support enhanced coordination of groups of Automated Guided Vehicles …

This paper proposes several extensive methods to predict the future location of an
automobile. The goals of this paper are to find a more accurate way to predict the future …

Driver-assistance systems and automated driving applications in the future will require
reliable and flexible surround environment perception. Sensor data fusion is typically used …

Mapping and tracking in dynamic environments for autonomously-moving robots is still
challenging, despite being essential tasks. They are often done separately using occupancy …

Tracking and mapping the local environment form the basis of an autonomous vehicle
system. They are often realized separately using occupancy grids, which do not require …

Current driver assistance functions, such as Active Cruise Control or Lane Departure
Warning, are usually composed of independent sensors and electrical control units for each …

The number of perception sensors on automated vehicles increases due to the increasing
number of advanced driver assistance system functions and their increasing complexity …

Future driver assistance systems need to be more robust and reliable because these
systems will react to increasingly complex situations. This requires increased performance in …

Vehicle-to-Anything (V2X) communication is a research topic in automated driving, with
recent activities also focused on cooperative perception (CP). The research field of CP is …