Object detection system
Abstract:
In a method involving the recognition of ambiguous objects from samples of 3D points, an initial constant is set for properties of prospective points of an object, and a sample of 3D points is received from a 3D sensor. When the sensed locations in space of points of objects represented by the 3D points are the same as those for the prospective points of an object, they are redefined as an actual points of objects, and the initial constants are replaced with corresponding properties represented by the 3D points. An ambiguous object is then recognized from a sparsely populated cluster of actual points of an object identified based on the replacement of the initial constants. The ambiguous object is confirmed based on signals representing its surface properties received from a polarization image sensor.
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