公开(公告)号：US20240037791A1

公开(公告)日：2024-02-01

申请号：US18355662

申请日：2023-07-20

Applicant: 42DOT INC

Inventor： Seong Gyun JEONG ,  Jung Hee KIM ,  Phuoc Tien Nguyen ,  Jun Hwa HUR

IPC: G06T7/80 ,  G06T3/00 ,  G06T7/50

CPC classification number: G06T7/80 ,  G06T3/0087 ,  G06T7/50 ,  G06T2207/10028

Abstract: Provided are an apparatus and method for generating a depth map by using a volumetric feature. The method may generate a single feature map for a base image included in a surround-view image by performing encoding and postprocessing on the base image, and generate a volumetric feature by encoding the single feature map with depth information and then projecting a result of the encoding into a three-dimensional space. In this method, a depth map of a surround-view image may be generated by using a depth decoder to decode a volumetric feature.

公开(公告)号：US20240020964A1

公开(公告)日：2024-01-18

申请号：US18346894

申请日：2023-07-05

Applicant: 42DOT INC.

Inventor： Myoung Hoon CHO ,  Jae Yun LEE ,  Phuoc Tien Nguyen

IPC: G06V10/82 ,  G06V20/58

CPC classification number: G06V10/82 ,  G06V20/58

Abstract: Provided is a method of improving an object recognition rate including recognizing a first object in a first image obtained while driving, detecting whether the recognized first object has disappeared for a preset time period and then reappeared in the first image, based on detecting that the first object has reappeared, calculating training data for the first object, and controlling such that a recognition model for recognizing an object included in an image is to be trained based on information based on the calculated training data.

公开(公告)号：US20230316146A1

公开(公告)日：2023-10-05

申请号：US18191027

申请日：2023-03-28

Applicant: 42DOT INC.

Inventor： Seung Hun CHO ,  Dong Jin Ha ,  Ho Yeon Cho ,  Jung Hee Kim ,  Phuoc Tien Nguyen ,  Seong Gyun Jeong

IPC: G06N20/00

CPC classification number: G06N20/00

Abstract: Provided are a data processing method and apparatus for training a depth information estimation model. The data processing method for training a depth information estimation model, includes: logging image data collected from one or more cameras; transmitting the logged image data to a database; configuring training data, based on the image data of the database; and training a model, based on the training data.