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    • To develop a Guidance Robot for Blind based on image processingdeep learning

      AI & IOT Application Innotech Expo To develop a Guidance Robot for Blind based on image processingdeep learning

      This theme is designed to implement the robot's appearancepractical functions. Apply PSPNet to detect the walkable planeYolo to detect obstacles, so that the robot has the autonomous obstacle avoidance function, informing more information about the environmental obstacles around the visually impaired,apply CNN to locate indoor position with self-built indoor database.
    • 單視覺影像比對式與超寬頻之室內定位技術

      FutureTech 單視覺影像比對式與超寬頻之室內定位技術

      Two indoor positioning techniques are presented. The first one is a monocular vision based landmark matching scheme for identifying absolute indoor locations. The scheme requires just one photo shotmatches it with a landmark database to obtain the location. The landmark data base can be easily adapted to different fields. The proposed scheme is highly computing efficient. The correct landmark identification rate is up to 90the positioning accuracy is 1.5m. The second one is a relative positioning scheme based on ultra-wide band (UWB) technology. It can be employed on an automatic guided vehicle (AGV) to implement the trailing function. The accuracy of positioning is 80cm.
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