公开(公告)号：US20170061043A1

公开(公告)日：2017-03-02

申请号：US14834612

申请日：2015-08-25

Applicant: Dassault Systèmes Americas Corp.

Inventor： Pierre-Olivier Lemieux ,  Matthieu Cauffiez ,  Arnaud Barré ,  Nicola Hagemeister ,  Rachid Aissaoui

IPC: G06F17/50 ,  G06F17/11

CPC classification number: G06F17/5009 ,  G06F17/11 ,  G06T13/40

Abstract: The present disclosure is directed to a method and corresponding system that improves accuracy of a computer simulation of an original posture of a digital human model (DHM) relative to a target object. The method and system may obtain information associated with the original DHM posture. The obtained DHM posture information may include a position of a head of the DHM. The method and system may obtain information associated with the target object. The obtained target object information may include a size of the target object and an orientation of the target object. The method and system method may obtain a distance from the head of the DHM to the target object. In some embodiments, the system and method may generate a measure of vision (i.e., vision measure) of the DHM of the target object that the DHM is visually targeting. The system and method may generate the measure of vision based on one or more parameters which may include any of the obtained DHM posture information, the obtained target object information, and the obtained head-target (HT) distance. Based on the measure of vision, the system and method may generate a constraint of vision (i.e., vision constraint) of the DHM to the target object. Based on the vision constraint, the system and method may generate an updated DHM posture.

Abstract translation: 本公开涉及一种提高数字人体模型（DHM）相对于目标对象的原始姿势的计算机模拟的精度的方法和对应系统。 方法和系统可以获得与原始DHM姿势相关联的信息。 所获得的DHM姿势信息可以包括DHM的头部的位置。 方法和系统可以获得与目标对象相关联的信息。 所获得的目标对象信息可以包括目标对象的大小和目标对象的取向。 该方法和系统方法可以获得从DHM的头到目标对象的距离。 在一些实施例中，系统和方法可以产生DHM视觉目标的目标对象的DHM的视力测量（即，视觉测量）。 系统和方法可以基于一个或多个参数产生视觉测量，所述参数可以包括所获得的DHM姿态信息，所获得的目标对象信息和获得的头部目标（HT）距离中的任何一个。 基于视觉测量，系统和方法可以产生DHM对目标对象的视觉约束（即，视觉约束）。 基于视觉约束，系统和方法可以产生更新的DHM姿势。

公开(公告)号：US20230021942A1

公开(公告)日：2023-01-26

申请号：US17305771

申请日：2021-07-14

Applicant: Dassault Systèmes Americas Corp.

Inventor： Ali Zeighami ,  Pierre-Olivier Lemieux ,  Nicola Hagemeister ,  Julie Charland ,  Rachid Aissaoui

IPC: G06F30/20

Abstract: A computer-implemented method and system determine an initial or starting position of a manikin for use in simulation. The method automatically analyzes environment data to determine a highest ranking type of data from among the environment data. In response, a guiding vector and a sweep mode are determined based upon the determined highest ranking type of data. The determined guiding vector and sweep mode are used to automatically analyze free space between a manikin and a target object in a simulated real-world environment to determine an initial position for and pre-position of the manikin in a simulation of the real-world environment.

公开(公告)号：US10860752B2

公开(公告)日：2020-12-08

申请号：US14834612

申请日：2015-08-25

Applicant: Dassault Systèmes Americas Corp.

Inventor： Pierre-Olivier Lemieux ,  Matthieu Cauffiez ,  Arnaud Barré ,  Nicola Hagemeister ,  Rachid Aissaoui

IPC: G06F30/20 ,  G06T13/40 ,  G06F17/11

Abstract: The present disclosure is directed to a method and corresponding system that improves accuracy of a computer simulation of an original posture of a digital human model (DHM) relative to a target object. The method and system may obtain information associated with the original DHM posture. The obtained DHM posture information may include a position of a head of the DHM. The method and system may obtain information associated with the target object. The obtained target object information may include a size of the target object and an orientation of the target object. The method and system method may obtain a distance from the head of the DHM to the target object. In some embodiments, the system and method may generate a measure of vision (i.e., vision measure) of the DHM of the target object that the DHM is visually targeting. The system and method may generate the measure of vision based on one or more parameters which may include any of the obtained DHM posture information, the obtained target object information, and the obtained head-target (HT) distance. Based on the measure of vision, the system and method may generate a constraint of vision (i.e., vision constraint) of the DHM to the target object. Based on the vision constraint, the system and method may generate an updated DHM posture.