Marco onderwerp onderzoek: Difference between revisions

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Navatar uses a camera to recognize landmarks in the surrounding area to precisely determine the position of its user. It is more precisely than gps, where gps is upto 5-10m precise, navatar can determine its location with a accuracy of 1.85m.<ref name="Navatar">http://eelke.com/navatar-indoor-navigation-blind.html</ref>
Navatar uses a camera to recognize landmarks in the surrounding area to precisely determine the position of its user. It is more precisely than gps, where gps is upto 5-10m precise, navatar can determine its location with a accuracy of 1.85m.<ref name="Navatar">http://eelke.com/navatar-indoor-navigation-blind.html</ref>


Object recognition can recognize an amount of different object and also the road and or sky.<ref>http://bryanrussell.org/projects/recognitionBySceneAlignment/index.html</ref>
Object recognition can recognize an amount of different object and also the road and or sky.<ref>http://www.engadget.com/2014/09/08/google-details-object-recognition-tech/</ref><ref>http://bryanrussell.org/projects/recognitionBySceneAlignment/index.html</ref>
==notes==
==notes==
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<references/>

Revision as of 20:54, 1 September 2015

Two ways of guiding are the sonicguide and the navbelt. Those are both using sonic sensors to locate objects around the person. [1]

Navatar uses a camera to recognize landmarks in the surrounding area to precisely determine the position of its user. It is more precisely than gps, where gps is upto 5-10m precise, navatar can determine its location with a accuracy of 1.85m.[2]

Object recognition can recognize an amount of different object and also the road and or sky.[3][4]

notes