Simultaneous Localisation And Mapping
Simultaneous Localisation And Mapping or SLAM is a pathfinding AI technique for robotics. It involves the robot building up a map of the area it travels, using onboard sensor systems. At the same time, the robot is tracking its position, either by GPS, or by triangulation with fixed transceiver points in the area.
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Resources in our database matching the Term Simultaneous Localisation And Mapping:
An in-depth Gamedev article, containing step by step coding advice for implementing parallax occlusion mapping to textures, such that the simulated heights can even self-occlude.
This book is an attempt to cross-reference the techniques of mapping and charting the physical world, with attempts to chart cyberspace. All of cyberspace, from individual virtual environments, through to the world wide web, as a single cohesive whole, a second world of many worlds, for others to explore, possessing the maps to do so.
Counterpart to a news story in February 2005, New Augmented Reality Position Tech contained details of a breakthrough in augmented reality. This slideshow forms the visual element of that.
Tokyo. Quite possibly, the birth place of the true sensor web. Birthing, right now.
Complete Website: mmogchart.com
A small web service, dedicated to mapping the statisics on practically every MMO out there: Subscribers, active subscribers, market share, and a whole lot more. Comparisons available in xls format.
This image is all about mapping, and more specifically how to preserve all necessary high level information in a virtual environment, in a cut down form, to allow easy oversight.
A new method of creating parallax mapping has been demonstrated, which can automatically create parallax texturemaps from ordinary photographs.
The Allen Brain Atlas, a project like never before: Literally a mapping of the human brain, an attempt to make connections between anatomical, genetic, and behavioral observations.
Eventually maps became digital, and all manner of computerised versions sprung up. Yet, for all the centralisation, and innovation, one thing never changed: For all their promise, computer based maps look, and function exactly the same as their printed brethren.
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'What does the world look like' and 'where am I' are two questions robots must solve if they are to act autonomously in an unknown environment. Work by European researchers will help future robot generations provide smarter answers.
Sony entertainment, makers of PlanetSide, have issued the following statement, in response to the claim by another firm that 160 simultaneous players on a server was a world record:
Last week, it was reported that another co...
Getting robotic systems to accurately detect both moving and static objects remains an obstacle to building more autonomous robots and more advanced surveillance systems. Innovative technology that uses light beams for localisation and mapp...
In January, Skyhook Wireless Inc. announced that Apple would use Skyhook?s WiFi Positioning System (WPS) for its popular Map applications.
The WPS database contains information on access points throughout the world. Skyhook ...
Live TV outside broadcasts that combine real action and computer-generated images could become possible for the first time, thanks to camera navigation technology now under development.
Real-Time Camera Localisation in Real Envir...