This paper addresses the problem of autonomous navigation of a micro aerial vehicle (MAV)
for inspection and damage assessment inside a constrained shipboard environment, which …

In this paper we propose a fast 3D pose based SLAM system that estimates a vehicle's
trajectory by registering sets of planar surface segments, extracted from 36 0∘ field of view …

Recently, autonomous vehicle's self-localization based on the matching of laser scanner
data to the high definition (HD) map become more popular due to the availability of HD map …

Real-time and reliable localization is a prerequisite for autonomously performing high-level
tasks with micro aerial vehicles (MAVs). Nowadays, most existing methods use vision …

This paper considers the potential of using three-dimensional (3D) planar surfaces and line
segments detected in depth images for place recognition. A place recognition method is …

The global localization problem concerns situations when a map of the environment is
known but there is no initial guess of the agent position. Whereas the ability to perform …

In this paper, we introduce a new method for the rough alignment of point-clouds. We focus
on a special type of point-clouds that is composed of simple geometric shapes like planes …

Sažetak Visual servoing with a simple, two-step hand–eye calibration for robot arms in
Selective Compliance Assembly Robot Arm configuration, along with the method for simple …

This paper proposes a novel approach to global localization using high-level features. The
new probabilistic framework enables to incorporate uncertain localization cues into a …

This paper presents a systematic study about the applicability of color/texture descriptors in
a global localization system based on planar surface segments. Two comprehensive …