METHOD AND SYSTEM FOR VEHICLE DESIGN USING OCCUPANT VISION ZONES

Patent №

US 6,113,643

Granted

2000-09-05

Filed 1997

Owner

FORD MOTOR COMPANY

+1 more

Lab

AI components

2

vision · planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

08984768

A computer based system and method for designing an automotive vehicle based on occupant vision orients an occupant representation, in electronic form, with respect to a three-dimensional electronic representation of a portion of the vehicle. At least one vehicle system is represented, also in electronic form, with respect to a common reference point, at least one human factors vision study is electronically performed to determine occupant vision with at least one vehicle system, and an outcome of that study is reported to a vehicle designer. The designer then has an option to vary, or alter, the occupant orientation, the location of the vehicle system, or both, so that the design meets a predetermined vision criteria of the study. However, the designer may opt to retain the design despite non-compliance with the vision criteria. If a parameter change is made, the system and method automatically rebuild every other effected dimension, and vehicle systems to satisfy the regenerated design are automatically selected from all electronic parts library so that packaging alternatives can be quickly studied. A geometric representation of occupant vision relative to a vehicle system may be displayed to allow a designer to visually assess compliance with a particular vision criteria. The occupant representation, vehicle, vehicle system, and geometric representation of the occupant vision may be rendered and animated in three-dimensions permitting views from various perspectives. The method and system can quickly provide accurate human factors vision studies for a vehicle design while allowing system packaging flexibility.

VisionPlanningG06T 19/00G06F 30/15G06T 15/20

AI classification

Planning0.96
Vision0.59
Natural language0.17
Evolutionary computation0.04
Machine learning0.00
Knowledge representation0.00
AI hardware0.00
Speech0.00

Ownership

FORD MOTOR COMPANY

assignment · 103590240

FORD GLOBAL TECHNOLOGIES, INC.

assignment · 103870521

Assignors

WEBER, WILLIAM FRANCIS, BACH, DANIEL CORNELIUS, JR., MCGUIRE, NICHOLAS D., TANG, SCOTT MING-HUA

On an employer assignment, the assignors are typically the inventors.

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