In recent years, exponential growth has been detected in research efforts focused on
automated construction progress monitoring. Despite various data acquisition methods and …

Visible light positioning (VLP) is a promising technology since it can provide high accuracy
indoor localization based on the existing lighting infrastructure. However, existing …

Simultaneous localization and mapping (SLAM) complexity reduction is a fast progressing
research area. Its attraction is owed to the potential commercial benefits of developing low …

RGB-D scanning of indoor environments is important for many applications, including real
estate, interior design, and virtual reality. However, it is still challenging to register RGB-D …

In this work, we develop a novel dense planar-inertial SLAM (DPI-SLAM) system to
reconstruct dense 3D models of large indoor environments using a hand-held RGB-D …

In this paper an Indoor Navigation System with map-matching capabilities in real-time on a
smart phone is presented. The basis of the system is an in-house development of an …

Position and orientation of indoor mobile robots must be obtained real timely during
operation in structured industrial environment, so as to ensure the security and efficiency of …

Depth cameras, like the Microsoft Kinect system, are valuable sensors for mobile robotics
since their data enables a highly detailed perception of the environmental structure …

Introducing a priori knowledge about the latent structure of the environment in simultaneous
localization and mapping (SLAM), can improve the quality and consistency results of its …

We present a simultaneous localization and mapping (SLAM) algorithm that uses Bézier
curves as static landmark primitives rather than feature points. Our approach allows us to …