Marco onderwerp onderzoek: Difference between revisions
Jump to navigation
Jump to search
No edit summary |
No edit summary |
||
| Line 5: | Line 5: | ||
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> | 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> | ||
European obstacle recognition project for recognizing the lanes on the road for duided movement and obstacles on the road using image recognition.<ref>http://cmm.ensmp.fr/~beucher/publi/eaec.pdf</ref> | European obstacle recognition project for recognizing the lanes on the road for duided movement and obstacles on the road using image recognition. It is however mostly recognizing larger objects.<ref>http://cmm.ensmp.fr/~beucher/publi/eaec.pdf</ref> | ||
==notes== | ==notes== | ||
<references/> | <references/> | ||
Latest revision as of 20:59, 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]
European obstacle recognition project for recognizing the lanes on the road for duided movement and obstacles on the road using image recognition. It is however mostly recognizing larger objects.[5]