Advanced automotive perception systems have to meet high expectations in terms of cost-
effectiveness, performance, and robustness. The fusion of different sensor types …

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 …

Dynamic object tracking is a prerequisite for the successful application of driving assistance
and autonomous driving functions. With the advent of high resolution Light Detection and …

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

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 …

One of the most important tasks for autonomous cars is the perception of the environment. In
particular, the detection and tracking of objects is vital for further applications. We present a …

The key problem of multi-sensor and multi-target tracking methods based on information
fusion is the data association of multi-source targets. Most of the existing multi-dimensional …