This paper provides an extensive overview of existing vehicle dynamic state estimators that
utilise the in-car Inertial Navigation Sensors and Global Positioning System. The different …

We present a novel method for reliable robot navigation in uneven outdoor terrains. Our
approach employs a fully-trained Deep Reinforcement Learning (DRL) network that uses …

User requirements for the performance of Global Navigation Satellite System (GNSS)-based
road applications have been significantly increasing in recent years. Safety systems based …

Widening applications of inertial sensors have triggered the search for cost effective sensors
and those based on MEMS technology have been gaining popularity and widespread use …

Assuming known vehicle parameters, this paper proposes an innovative integrated Kalman
filter (IKF) scheme to estimate vehicle dynamics, in particular the sideslip, the heading and …

This technical report is structured as follows: In the first section, we introduce the expression
for generating the position and orientation of an interpolated coordinate frame. In the second …

The ongoing electrification in all domains relies on strong increase in raw material
extraction. Autonomous dump trucks are key to facilitating this. The automation requires the …

Localization is a fundamental operation for the navigation of mobile robots. The standard
localization algorithms fuse external measurements of the environment with the odometric …

As a mobile robot navigates through an indoor environment, the condition of the floor is of
low (or no) relevance to its decisions. In an outdoor environment, however, terrain …

In order to enable highly automated driving, high demands are placed on the sensors
perceiving the environment around the vehicle. Today's radar sensors have advantages …