Background: The planetary rover is an essential platform for planetary exploration. Visual
semantic segmentation is significant in the localization, perception, and path planning of the …

Horizon line is a promising visual cue which can be exploited for robot localization or visual
geo-localization. Prominent approaches to horizon line detection rely on edge detection as a …

Nowadays, Unmanned Air Systems (UAS) or Unmanned Air Vehicles (UAV) plays an
important role in different critical missions. UAVs must have the ability to perform different …

Traditionally, edge detection has been extensively employed as the basic step for the
horizon line detection problem. However, generally such methods do not discriminate …

This work addresses sky segmentation, the task of determining sky and non-sky pixels in
images, and improving upon existing state-of-the-art models. Outdoor scene parsing models …

Horizon line detection requires finding a boundary which segments an image into sky and
non-sky regions. It has many applications including visual geo-localization and geo-tagging …

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 …

Horizon line detection is a demanding problem in various tasks associated with planet
exploration, because no standard approaches such as global positioning system is …

In this paper, we consider the problem of segmenting an image into sky and non-sky
regions, typically referred to as horizon line detection or skyline extraction. Specifically, we …

Planetary rovers navigate in extreme environments for which a Global Positioning System
(GPS) is unavailable, maps are restricted to relatively low resolution provided by orbital …