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

Cooperative Perception is an emergent technology that profits from the exchanged
perception information between vehicles. However, the inconsistency resulting from the …

Cooperative automated driving is a promising technology to improve road safety, fuel
consumption, and traffic throughput without the need to expand the current infrastructure. To …

This paper presents a novel and efficient sensor fusion system for tracking multiple moving
vehicles over Light Detection and Ranging (LiDAR) and Radar in autonomous vehicles …

Over the past two and a half decades, covariance intersection (CI) has provided a means for
robust estimation in scenarios where the uncertainty information is incomplete. Estimation in …

Using sensors to observe real-world systems is important in many applications. A typical use
case is target tracking, where sensor measurements are used to compute estimates of …

This paper proposes the Permutation Matrix Track Association (PMTA) algorithm to support
track-to-track, multi-sensor data fusion for multiple targets in an autonomous driving system …

For intelligent vehicles, multi-sensor fusion is of great importance to perceive traffic
environment with high accuracy and robustness. In this paper, we propose two effective …

Developing concepts for cooperative awareness was subject of several international
research programs in the past years 2. The main concept for cooperative awareness is the …

The fusion of tracks with different state spaces is referred to as heterogeneous track-to-track
fusion (HT2TF). In this paper, we present novel approaches for HT2TF using Covariance …