Abstract: The present invention pertains to: a self-priming and replicating hairpin adaptor for constructing an NGS (next generation sequencing) library; and a method for constructing an NGS library using the same. Specifically, the present invention pertains to: a self-priming and replicating hairpin adaptor for constructing an NGS library, the adaptor containing a long single-stranded first oligonucleotide that comprises a nucleotide sequence of SEQ ID NO: 4 and has a hairpin structure, and a short single-stranded second oligonucleotide that comprises a nucleotide sequence of SEQ ID NO: 5; a method for constructing an NGS library using said adaptor; and an NGS library construction kit including said adaptor.

Abstract: In a method of predicting a position of an object at a future time point for a vehicle, video image information at a current time point and at a plurality of time points before the current time point acquired through a camera of the vehicle may be extracted as semantic segmentation image. A mask image imaging an attribute and position information of an object present in each of the video images may be extracted. A position distribution of the object may be predicted by deriving a plurality of hypotheses for a position of the object at a future time point through deep learning by receiving video images at the current time point and the time points before the current time point, a plurality of semantic segmentation images, a plurality of mask images, and ego-motion information of the vehicle, and calculating the plurality of hypotheses as a Gaussian mixture probability distribution.