Abstract: Provided is a mounting base member used in a pair for mounting an object to be conveyed thereon, the mounting base member including: a body part configured to support the object to be conveyed; and a top plate part that extends in at least a horizontal direction from an upper part of the body part. The top plate part covers an upper surface of the body part, or the upper surface of the body part contacting the conveyed object is flush with an upper surface of an extending portion of the top plate part.

Abstract: Provided is a mounting base member used in a pair for mounting an object to be conveyed thereon, the mounting base member including: a body part configured to support the object to be conveyed; and a top plate part that extends in at least a horizontal direction from an upper part of the body part. The top plate part covers an upper surface of the body part, or the upper surface of the body part contacting the conveyed object is flush with an upper surface of an extending portion of the top plate part.

Abstract: The present invention provides a collision avoidance apparatus and method employing stereo vision applications for adaptive vehicular control. The stereo vision applications are comprised of a road detection function and a vehicle detection and tracking function. The road detection function makes use of three-dimensional point data, computed from stereo image data, to locate the road surface ahead of a host vehicle. Information gathered by the road detection function is used to guide the vehicle detection and tracking function, which provides lead motion data to a vehicular control system of the collision avoidance apparatus. Similar to the road detection function, stereo image data is used by the vehicle detection and tracking function to determine the depth of image scene features, thereby providing a robust means for identifying potential lead vehicles in a headway direction of the host vehicle.

Abstract: A method and apparatus for classifying an object in an image is disclosed. Edge energy information and/or intensity variation information is generated for an object in a region of interest of the image. The object occupying the region of interest is classified based on the edge energy information and/or intensity variation information.