Automatic building extraction and delineation from high-resolution satellite imagery is an
important but very challenging task, due to the extremely large diversity of building …

Using camera sensors for ground robot Simultaneous Localization and Mapping (SLAM)
has many benefits over laser-based approaches, such as the low cost and higher …

One of the most important and useful feature of autonomous mobile robots is their ability to
adopt themselves to operate in unstructured environment. Today robots are performing …

Smart Autonomous Aircraft: Flight Control and Planning for UAV introduces the advanced
methods of flight control, planning, situation awareness, and decision making. This book is …

This paper presents a fully hardware synchronized mapping robot with support for a
hardware synchronized external tracking system, for super-precise timing and localization …

In this paper, we present a novel methodology to compute a 3D scene representation. The
algorithm uses macro scale polygonal primitives to model the scene. This means that the …

Previous urban structure classification methods are intractable for practical robots in two
viewpoints: storing point clouds and complex computation for using conditional random …

The previously developed radially bounded nearest neighbor (RBNN) algorithm have been
shown a good performance for 3D point cloud segmentation in indoor scenarios. In outdoor …

Urban object recognition is the ability to categorize ambient objects into several classes and
it plays an important role in various urban robotic missions, such as surveillance, rescue …

Many robotics and mapping systems contain multiple sensors to perceive the environment.
Extrinsic parameter calibration, the identification of the position and rotation transform …