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This letter presents a method to improve detection for robotic harvesting by changing the task objective in real time in an adaptive thresholding algorithm. The adaptive thresholding algorithm includes three main parts: 3-D adaptive thresholding, object detection, and fusion. Optimal local 3-D thresholds that were previously determined according to changing illumination conditions were expanded in...
Propose an algorithm to detect road area in front of the robot based on 2.5D range image to satisfy the robot to find passable road lies 20-80 m in front of it. The algorithm builds a 2.5D range image by calibrating ladar and camera. Then, it clusters points in single ladar frame using KNN. Geometrical and color information were used to segment the range image and then road area was abstracted. The...
Often within the field of tracking people within only fixed cameras are used. This can mean that when the the illumination of the image changes or object occlusion occurs, the tracking can fail. We propose an approach that uses three simultaneous separate sensors. The fixed surveillance cameras track objects of interest cross camera through incrementally learning relationships between regions on the...
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