Automated driving systems (ADSs) promise a safe, comfortable and efficient driving
experience. However, fatalities involving vehicles equipped with ADSs are on the rise. The …

Abstract The Robot Operating System 2 (ROS 2) is rapidly impacting the intelligent
machines sector—on space missions, large agriculture equipment, multi-robot fleets, and …

In this paper, we present a localization approach that is based on a point-cloud matching
method (normal distribution transform “NDT”) and road-marker matching based on the light …

In this study, we developed an autonomous driving system for mountainous public roads.
Three-dimensional normal distribution transform (NDT) scan matching is employed for …

Robust localization in a given map is a crucial component of most autonomous robots. In this
paper, we address the problem of localizing in an indoor environment that changes and …

So far, autonomous order picking (commissioning) systems have not been able to meet the
stringent demands regarding speed, safety, and accuracy of real-world warehouse …

Reliability is a key factor for realizing safety guarantee of fully autonomous robot systems. In
this paper, we focus on reliability in mobile robot localization. Monte Carlo localization …

Point cloud registration is a core problem of many robotic applications, including
simultaneous localization and mapping. The Normal Distributions Transform (NDT) is a …

The research presented in this paper aims to bridge the gap between the latest scientific
advances in autonomous vehicle localization and the industrial state of the art in …

Indoor localization is essential for robotic navigation by using different sensors on board.
Specifically, visual localization with a single camera is a great challenge in highly symmetric …