Semantic segmentation is the pixel-wise labeling of an image. Boosted by the extraordinary
ability of convolutional neural networks (CNN) in creating semantic, high-level and …

We focus on a fundamental task of detecting meaningful line structures, aka, semantic line,
in natural scenes. Many previous methods regard this problem as a special case of object …

Multimodal data fusion (MMDF) is the process of combining disparate data streams (of
different dimensionality, resolution, type, etc.) to generate information in a form that is more …

The lack of redundant attitude sensors represents a considerable yet common vulnerability
in many low-cost unmanned aerial vehicles. In addition to the use of attitude sensors …

This paper investigates the problem of position estimation of unmanned surface vessels
(USVs) operating in coastal areas or in the archipelago. We propose a position estimation …

Since radar tracking is sensitive to shape, size and material of the targets, it has to be
enriched with other types of sensors for better situational awareness, collision avoidance …

Approximate distance estimation can be used to determine fundamental landscape
properties including complexity and openness. We show that variations in the skyline of …

Line features are of great importance for the registration of the Vehicle-Borne Mobile
Map** System that contains both lidar and multiple-lens panoramic cameras. In this work …

Automatic detection of the skyline plays an important role in several applications, such as
visual geolocalization, flight control, port security, and mountain peak recognition. Existing …

Skyline plays a pivotal role in mountainous visual geo-localization and
localization/navigation of planetary rovers/UAVs and virtual/augmented reality applications …