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> | |||
==notes== | ==notes== | ||
<references/> | <references/> | ||
Revision as of 19:51, 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]