Millimeter-wave (mmW) radars are being increasingly integrated into commercial vehicles to support new advanced driver-assistance systems (ADAS) by enabling robust and high-performance object detection, localization, as well recognition - a key component of environmental perception. In this paper, we propose novel radar multiple-perspectives convolutional neural network (RAMP-CNN) that extracts...

Recognition memories are formed during perceptual experience and allow subsequent recognition of previously encountered objects as well as their distinction from novel objects. As a consequence, novel objects are generally explored longer than familiar objects by many species. This novelty preference has been documented in rodents using the novel object recognition (NOR) test, as well is in pri...

Object recognition is one of the most challenging problems in the field of computer vision. Although recent approaches have shown promising results, such approaches are specialized in each recognition task. Therefore they cannot be extended many other recognition tasks. To integrate many types of recognition, we propose a novel recognition method which uses hierarchical structure. Our experimen...