The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Reliably localizing and tracking displays moving relative to content in the physical world is one of the primary technical challenges facing all augmented reality systems. While significant progress has been made in recent years, all approaches remain limited to functioning only in certain environments and situations. Attempts to improve solution generality via additional sensors (e.g., depth sensors,...
Development of localization method is crucial for underwater vehicles to navigate in underwater environments. This paper presents a method of localization for underwater vehicles using acoustic signal. Artificial underwater acoustic sources are used as landmarks in underwater environment and underwater vehicle performs localization by acquiring acoustic signals transmitted from the sources. TDOA based...
A technique for merging 3D octree based occupancy grid maps robust to error in transformation between map reference frames is proposed and implemented. Recent robotics applications require 3D representations of the environments in which robots are to operate. In many cases, such as Simultaneous Localization and Mapping (SLAM) and when a large environment is required to be mapped within a reasonable...
A technique for merging 3D octree based occupancy grid maps is proposed and implemented. Octrees are a memory efficient way to represent a 3D environment by recursively subdividing space at multiple depths in a tree structure. The use of of an octree representation of a 3D environment allows large environments to be mapped while limiting the amount of memory used in comparison to other techniques...
Simultaneous Localization and Mapping (SLAM) addresses the problem of a robot navigating and acquiring spatial models of initially unknown environments, without an absolute localization means. To solve this problem, we propose a mapping system that builds feature-based geometrical maps by applying a modified Particle Swarm Optimization (PSO) algorithm. Particles are defined as the location of individual...
The problem of place recognition appears in different mobile robot navigation problems including localization, SLAM, or change detection in dynamic environments. Whereas this problem has been studied intensively in the context of robot vision, relatively few approaches are available for three-dimensional range data. In this paper, we present a novel and robust method for place recognition based on...
This paper gives a brief overview on the Simultaneous Localization and Mapping (SLAM) problem from the perspective of using SLAM for an application as opposed to the common view in SLAM research papers that focus on investigating SLAM itself. We discuss different ways of using SLAM with increasing difficulty: for creating a map prior to operation, as a black-box localization system, and for providing...
This paper describes a new approach to align the laser scans in order to build a consistent map of the environment of a mobile robot. There are no physical landmarks and the environment is completely unknown. Our method finds the nearest matching lines in the scans and resolves the data correspondence problem. The global consistency and final map is achieved by the formulation of geometrical constraints...
Practical realization of autonomous multi-vehicle control in feature rich GPS-denied areas requires that agents possess the capability to generate and share maps with details adequate for successful operation in complex environments. In addition, coordination of behaviors among robotic vehicles in a swarm is greatly enhanced by exploitation of information acquired by all members of the group. The...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.