An important requirement for safe autonomous driving is the perception of dynamic and
static objects. In urban scenarios, there exist hundreds of potential obstacles. Therefore, it is …

This paper proposes fast and novel methods to jointly estimate the target's unknown 3D
shape and dynamics. Measurements are noisy and sparsely distributed 3D points from a light …

Team MuCAR participated in the convoy scenario within the ELROB 2016 robotics trial and
achieved the best score overall. This paper describes the hard- and software system of …

Robust object detection is one of the key tasks for autonomous vehicles. Clustering is the
fundamental step for extracting objects from 3D point clouds. We propose a fast and efficient …

In this paper, we present a simultaneous localization and mapping framework that
combines filter-based road course tracking and GraphSLAM for localization and mapping in …

Reliable collision avoidance is one of the main requirements for autonomous driving. Hence,
it is important to correctly estimate the states of an unknown number of static and dynamic …

We present a robust teach-and-repeat system enabling an autonomous car to carry out
transportation tasks in non-urban environments. Our vehicle first learns a desired route between …

Localization is a key capability for autonomous vehicles. High-Definition maps are a popular
method to represent the environment and to enable precise localization. However, the …

… Benjamin Naujoks hat von 2010–2015 Technomathematik an der Technischen Universität
Dresden studiert. Seit Ende 2015 arbeitet er als Wissenschaftlicher Mitarbeiter an der …

Compared to abstract features, significant objects, so-called landmarks, are a more natural
means for vehicle localization and navigation, especially in challenging unstructured …