Rotating radar sensors are perception systems rarely used in mobile robotics. This paper is
concerned with the use of a mobile ground-based panoramic radar sensor which is able to …

Mapping stationary objects is essential for autonomous vehicles and many autonomous
functions in vehicles. In this contribution the probability hypothesis density (PHD) filter …

This paper is concerned with robotic applications using a ground-based radar sensor for
simultaneous localization and mapping problems. In mobile robotics, radar technology is …

For unmanned aerial vehicles (UAVs), grid maps can be a versatile tool for navigation and
self-localization. In general, payload is critical for UAVs and every additional sensor limits …

Robust environmental perception is a crucial parameter for the development of autonomous
ground vehicle applications, especially in the field of agricultural robotics which is one of the …

We deal with the problem of learning probabilistic models of terrain surfaces from sparse
and noisy elevation measurements. The key idea is to formalize this as a regression …

Millimetre Wave RADARs are more robust than most other sensors used in outdoor
autonomous navigation in that their performance is less affected by dust, fog, moderate rain …

The aim of this paper is to show the potential of the microwave radar as a sensor dedicated
to outdoor perception. A new radar sensor named K2PI, based on the principle of Frequency …

Technological advancements over the years have increased the use of Radar technology in
the field of robotics, especially in marine robotics to aid obstacle detection algorithms …

Imaging sensors are being increasingly used in autonomous vehicle applications for scene
understanding. This paper presents a method that combines radar and monocular vision for …