Hand-eye calibration is an important and extensively researched method f...
In this work, we propose a novel adaptive grid mapping approach, the Ada...
With rising computational requirements modern automated vehicles (AVs) o...
While automotive radar sensors are widely adopted and have been used for...
Planning trajectories for automated vehicles in urban environments requi...
We propose a certifiably globally optimal approach for solving the hand-...
Panoptic segmentation is one of the most challenging scene parsing tasks...
Connected and cooperative driving requires precise calibration of the
ro...
Reinforcement learning has received high research interest for developin...
The safety of automated vehicles (AVs) relies on the representation of t...
Connected automated driving has the potential to significantly improve u...
Monocular camera sensors are vital to intelligent vehicle operation and
...
The improvement of traffic efficiency at urban intersections receives st...
The advance towards higher levels of automation within the field of auto...
Advances in the field of environment perception for automated agents hav...
We introduce MGNet, a multi-task framework for monocular geometric scene...
Reliable tracking algorithms are essential for automated driving. Howeve...
Urban intersections are prone to delays and inefficiencies due to static...
In this work, we present an approach for monocular hand-eye calibration ...
Within the field of automated driving, a clear trend in environment
perc...
Motion planning at urban intersections that accounts for the situation
c...
For autonomous driving, radar is an important sensor type. On the one ha...
In this work, we propose an approach for extrinsic sensor calibration fr...
Autonomous vehicles need precise knowledge on dynamic objects in their
s...
This work addresses the problem of point cloud registration using deep n...
Self-assessment is a key to safety and robustness in automated driving. ...
A main task for automated vehicles is a complete and robust environment
...
Sensor calibration usually is a time consuming yet important task. While...
Cooperative information shared among a multi-agent system (MAS) can be u...
Use of cooperative information, distributed by road-side units, offers l...