Apparatus for estimating motion of vehicle occupant and method therefor

Patent metadata

Field	Value
Publication number	US-2025128715-A1
Application number	US-202418671504-A
Country	US
Kind code	A1
Filing date	May 22, 2024
Priority date	Oct 18, 2023
Publication date	Apr 24, 2025
Grant date	—

Abstract

An apparatus for estimating a motion of a vehicle occupant, and a method therefor, can store motion estimating models of a vehicle occupant, collect behavior data of a vehicle, determine a traveling mode of the vehicle based on a longitudinal acceleration among the behavior data of the vehicle, and estimate a motion of the vehicle occupant using at least one of the motion estimating models corresponding to the traveling mode of the vehicle. The motion estimating models can include a first model corresponding to a dynamic mode of the vehicle and a second model corresponding to a steady state mode of the vehicle.

First claim

What is claimed is:

1 . An apparatus comprising:
one or more processors; and non-transitory storage medium storing motion estimating models of a vehicle occupant and computer-readable instructions that, when executed by the one or more processors, enable the one or more processors to collect behavior data of a vehicle, determine a traveling mode of the vehicle based on a longitudinal acceleration among the behavior data of the vehicle, and estimate a motion of the vehicle occupant using at least one of the motion estimating models corresponding to the traveling mode of the vehicle.

2 . The apparatus of claim 1 , wherein the at least one of the motion estimating models of the vehicle occupant estimates the motion of the vehicle occupant corresponding to the behavior data of the vehicle.

3 . The apparatus of claim 1 , wherein the motion estimating models include a first model corresponding to a dynamic mode of the vehicle and a second model corresponding to a steady state mode of the vehicle.

4 . The apparatus of claim 3 , wherein the instructions further enable the one or more processors to estimate an acceleration of a head of the vehicle occupant, which corresponds to the behavior data of the vehicle based on the first model if the longitudinal acceleration deviates from a first threshold range and which corresponds to the behavior data of the vehicle based on the second model if the longitudinal acceleration is within the first threshold range and is within a second threshold range.

5 . The apparatus of claim 4 , wherein the instructions further enable the one or more processors to determine that the acceleration of the head of the vehicle occupant is a value between a first acceleration of the head of the vehicle occupant estimated based on the first model and a second acceleration of the head of the vehicle occupant estimated based the second model, if the longitudinal acceleration is within the first threshold range and deviates from the second threshold range.

6 . The apparatus of claim 3 , wherein the instructions further enable the one or more processors to collect, as the behavior data of the vehicle, one of or any combination of three-axis accelerations, three-axis speeds, a roll angle, a roll angle rate, a pitch angle, and a pitch angle rate.

7 . The apparatus of claim 6 , wherein the instructions further enable the one or more processors to remove noise from the behavior data of the vehicle.

8 . The apparatus of claim 7 , wherein the instructions further enable the one or more processors to normalize the behavior data of the vehicle from which the noise is removed.

9 . The apparatus of claim 1 , wherein the instructions further enable the one or more processors to predict motion sickness of the vehicle occupant based on the motion of the vehicle occupant.

10 . A method comprising:
storing motion estimating models of a vehicle occupant; collecting behavior data of a vehicle; determining a traveling mode of the vehicle based on a longitudinal acceleration among the behavior data of the vehicle; and estimating a motion of the vehicle occupant using at least one of the motion estimating models corresponding to the traveling mode of the vehicle.

11 . The method of claim 10 , wherein the at least one of the motion estimating models of the vehicle occupant estimates the motion of the vehicle occupant corresponding to the behavior data of the vehicle.

12 . The method of claim 10 , wherein the storing of the motion estimating models of the vehicle occupant comprises:
storing a first model corresponding to a dynamic mode of the vehicle; and storing a second model corresponding to a steady state mode of the vehicle.

13 . The method of claim 12 , wherein the estimating of the motion of the vehicle occupant includes:
estimating an acceleration of a head of the vehicle occupant, which corresponds to the behavior data of the vehicle based on the first model if the longitudinal acceleration deviates from a first threshold range; and estimating an acceleration of the head of the vehicle occupant, which corresponds to the behavior data of the vehicle based on the second model if the longitudinal acceleration is within the first threshold range and is within a second threshold range.

14 . The method of claim 13 , wherein the estimating of the motion of the vehicle occupant further includes determining the acceleration of the head of the vehicle occupant is a value between a first acceleration of the head of the vehicle occupant estimated based on the first model and a second acceleration of the head of the vehicle occupant estimated based the second model, if the longitudinal acceleration is within the first threshold range and deviates from the second threshold range.

15 . The method of claim 12 , wherein the collecting of the behavior data of the vehicle includes collecting as the behavior data of the vehicle one of or any combination of three-axis accelerations, three-axis speeds, a roll angle, a roll angle rate, a pitch angle, and a pitch angle rate.

16 . The method of claim 15 , wherein the collecting of the behavior data of the vehicle further includes removing noise from the behavior data of the vehicle.

17 . The method of claim 16 , wherein the collecting of the behavior data of the vehicle further includes normalizing the behavior data of the vehicle from which the noise is removed.

18 . The method of claim 10 , further comprising predicting motion sickness of the vehicle occupant based on the motion of the vehicle occupant.

Assignees

• Hyundai Motor Co Ltd
• Kia Corp
• Iucf Hyu

Inventors

• Park Tae Woong
• An Chang Seop
• Chung Chung Choo
• Kim Jin Sung
• Quan ying shuai

Classifications

• B60W2540/00

  Input parameters relating to occupants · CPC title

• B60W40/00

  Estimation or calculation of {non-directly measurable} driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, {e.g. by using mathematical models} · CPC title

• B60W40/107

  Longitudinal acceleration · CPC title

• B60W40/08 Primary

  related to drivers or passengers · CPC title

• B60W40/10

  related to vehicle motion · CPC title