{"id":140,"date":"2012-02-13T08:44:16","date_gmt":"2012-02-13T08:44:16","guid":{"rendered":"http:\/\/www.giovannigualdi.com\/wordpress\/?page_id=140"},"modified":"2012-02-13T09:43:18","modified_gmt":"2012-02-13T09:43:18","slug":"visual-odometry","status":"publish","type":"page","link":"http:\/\/www.giovannigualdi.com\/?page_id=140","title":{"rendered":"Visual Odometry"},"content":{"rendered":"

Within the Artemis project R3-COP<\/a>, where I take part as ReLab<\/a> consultant for Elettric80<\/a>, I have recently worked on Visual Odometry, i.e. estimating the position of a vehicle exploiting only the data coming from an on-board camera.<\/span><\/p>\n

Solving odometry through the use of a camera is much cheaper and easier with respect to the use of traditional encoders on wheels and steer<\/span>, as such solution requires invasive installations over the vehicle, and even more, its accurate kinematic model.<\/p>\n

You can have a look to an installation on a forklift and some video results:<\/p>\n

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Results on such topic are still quite fresh and most of them still belong to research; however I know of some interesting technology trasfers from academia to industry. Contact me if interested.<\/p>\n

Acknowledments for this work:<\/p>\n