公开(公告)号：US12266152B2

公开(公告)日：2025-04-01

申请号：US17775591

申请日：2021-05-07

Applicant: HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY

Inventor： Huajun Sun ,  Zuopai Zhou ,  Li Li ,  Xiangshui Miao

IPC: G06V10/84 ,  G06N3/06 ,  G06V10/764 ,  G06V10/94

Abstract: A method and a system of designing a memristor-based naive Bayes classifier and a classifier belonging to the field of information technology are provided. The method includes: constructing a naive Bayes classifier including a memristor array of M rows by 2N columns, where M is the number of classification types, and N is the number of pixels in a picture; calculating the number hj,2i-1 of the pixel value of 0 and the number hj,2i of the pixel value of 1 in an ith pixel in the jth training sample, where j=1, 2, . . . , and M; and applying hj,2i-1 pulses to a memristor Rj,2i-1 in a jth row and a 2i-1th column to modulate the conductance of the memristor Rj,2i-1 and applying hj,2i pulses to a memristor Rj,2i in the jth row and a 2ith column to modulate the conductance of the memristor Rj,2i.

公开(公告)号：US11474251B2

公开(公告)日：2022-10-18

申请号：US16898404

申请日：2020-06-10

Applicant: HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY

Inventor： Tianxu Zhang ,  Hongshi Sang ,  Zhijian Tu ,  Yufeng Liu ,  Zongkai Cao ,  Li Li

IPC: G01S17/89 ,  G01S7/4863 ,  G01S17/06

Abstract: The disclosure discloses a Gm-APD array lidar imaging method under strong background noise, comprising following steps: respectively acquiring two sets of cumulative detection data of the Gm-APD array lidar at two different opening times of a range gate of the Gm-APD array lidar under strong background noise; respectively performing a statistic operation on the two sets of cumulative detection data of the Gm-APD array lidar with respect to all pixels, to obtain two cumulative detection result histograms of the Gm-APD array lidar; determining a range interval of the imaging target according to the two cumulative detection result histograms; and acquiring a lidar image by a peak discrimination method in the range interval of the imaging target. The Gm-APD array lidar imaging method according to the present disclosure is capable of improving the laser image quality by eliminating the interference of strong background noise in other range intervals.

公开(公告)号：US20210041568A1

公开(公告)日：2021-02-11

申请号：US16898404

申请日：2020-06-10

Applicant: HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY

Inventor： Tianxu Zhang ,  Hongshi Sang ,  Zhijian Tu ,  Yufeng Liu ,  Zongkai Cao ,  Li Li

IPC: G01S17/89 ,  G01S7/4863 ,  G01S17/06

Abstract: The disclosure discloses a Gm-APD array lidar imaging method under strong background noise, comprising following steps: respectively acquiring two sets of cumulative detection data of the Gm-APD array lidar at two different opening times of a range gate of the Gm-APD array lidar under strong background noise; respectively performing a statistic operation on the two sets of cumulative detection data of the Gm-APD array lidar with respect to all pixels, to obtain two cumulative detection result histograms of the Gm-APD array lidar; determining a range interval of the imaging target according to the two cumulative detection result histograms; and acquiring a lidar image by a peak discrimination method in the range interval of the imaging target. The Gm-APD an-ay lidar imaging method according to the present disclosure is capable of improving the laser image quality by eliminating the interference of strong background noise in other range intervals.