Abstract: Presented are a method and a device for multi-sensor data-based fusion information generation for 360-degree detection and recognition of a surrounding object. The present invention proposes a method for multi-sensor data-based fusion information generation for 360-degree detection and recognition of a surrounding object, the method comprising the steps of: acquiring a feature map from a multi-sensor signal by using a deep neural network; converting the acquired feature map into an integrated three-dimensional coordinate system; and generating a fusion feature map for performing recognition by using the converted integrated three-dimensional coordinate system.

Abstract: Provided are an apparatus and a method for generating an identification key with improved reliability by: providing a plurality of resistances which are generated according to a random connection state between conductive layers of a semiconductor due to process variation of the semiconductor; discriminating a first group which has a resistance value greater than a first threshold value and less than a second threshold value among the plurality of resistances; and reading at least one resistance which does not belong to the first group out of the plurality of resistances and reading an identification key in the form of a digital value.