公开(公告)号：US20200184260A1

公开(公告)日：2020-06-11

申请号：US16215675

申请日：2018-12-11

Applicant: Industrial Technology Research Institute

Inventor： Wei-Hao Lai ,  Pei-Jung Liang ,  Peter Chondro ,  Tse-Min Chen ,  Shanq-Jang Ruan

IPC: G06K9/62

Abstract: The disclosure is directed to an object detection method using a CNN model and an object detection apparatus thereof. In an aspect, the object detection method includes generating a sensor data; processing the sensor data by using a first object detection algorithm to generate a first object detection result; processing the first object detection result by using a plurality of stages of sparse update mapping algorithm to generate a plurality of stages of updated first object detection result; processing a first stage of the stages of updated first object detection result by using a plurality of stages of spatial pooling algorithm between each of stages of sparse update mapping algorithm; executing a plurality of stages of deep convolution layer algorithm to extract a plurality of feature results; and performing a detection prediction based on a last-stage feature result.

公开(公告)号：US10748033B2

公开(公告)日：2020-08-18

申请号：US16215675

申请日：2018-12-11

Applicant: Industrial Technology Research Institute

Inventor： Wei-Hao Lai ,  Pei-Jung Liang ,  Peter Chondro ,  Tse-Min Chen ,  Shanq-Jang Ruan

IPC: G06K9/62

Abstract: The disclosure is directed to an object detection method using a CNN model and an object detection apparatus thereof. In an aspect, the object detection method includes generating a sensor data; processing the sensor data by using a first object detection algorithm to generate a first object detection result; processing the first object detection result by using a plurality of stages of sparse update mapping algorithm to generate a plurality of stages of updated first object detection result; processing a first stage of the stages of updated first object detection result by using a plurality of stages of spatial pooling algorithm between each of stages of sparse update mapping algorithm; executing a plurality of stages of deep convolution layer algorithm to extract a plurality of feature results; and performing a detection prediction based on a last-stage feature result.