IP Library › Granted Patent US 12,728,882
Granted Patent B2
US 12,728,882 · App. 17/714,076 · Granted Sep 8, 2026

Communicating a blending control parameter using a seat of a vehicle

Inventors: Manuel Ludwig Kuehner (Mountain View, CA); Hiroshi Yasuda (San Francisco, CA); Guillermo Pita Gil (Redwood City, CA)
Assignees: TOYOTA RESEARCH INSTITUTE, INC.; TOYOTA JIDOSHA KBUSHIKI KAISHA
B60W50/16B60W10/20B60W50/08B60Q9/00B60W40/08B60W2050/0029B60W50/14B60W2540/043B60W2540/22
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Quick Facts
Patent No.
US 12,728,882
App. No.
17/714,076
Granted
Sep 8, 2026
Kind
B2
Abstract

Systems and methods are provided for communicating a blending parameter via tactile feedback at a driver's seat of a vehicle (examples of tactile feedback may comprise vibrations and temperature/heat applied through the driver's seat). The blending parameter may represent the ratio between the driver's level of authority and an autonomous driving system's level of authority in performing a driving task (e.g., lateral steering). By communicating changes to a blending parameter over time, examples can help a driver form a mental picture of how the vehicle/autonomous driving system is operating. This feedback/understanding may by advantageous for various purposes such as driver coaching and helping drivers become more comfortable with autonomous driving systems.

Claims (42)

1 . A computer-implemented method comprising:

determining a blending parameter for a driving task for a vehicle, the blending parameter representing a ratio between a driver's level of authority and an autonomous driving system's (ADS's) level of authority in performing the driving task;

correlating the blending parameter to a target sensory perception value to be perceived by the driver through the driver's seat;

using a psychophysical model which correlates physical stimuli to sensory perception via a non-linear relationship to determine a physical stimulus value to produce the target sensory perception value, wherein the psychophysical model considers at least one of:

ambient temperature and humidity in the cabin of the vehicle;

current temperature of upholstery material of the driver's seat;

the upholstery material of the driver's seat;

skin temperature characteristics;

location of an applied temperature vis-a-vie the driver's body; or

stored calibration data related to the driver's perception of physical temperature changes; and

generating the physical stimulus value at the driver's seat thereby communicating to the driver the ADS's level of authority in performing the driving task.

2 . The computer-implemented method of claim 1 , wherein the physical stimulus value and the blending parameter are non-linearly correlated.

3 . The computer-implemented method of claim 1 , wherein the psychophysical model is personalized for the driver.

4 . The computer-implemented method of claim 1 , wherein:

the target sensory perception value comprises a first temperature; and

the physical stimulus value comprises a second temperature.

5 . The computer-implemented method of claim 1 , wherein:

the driver's level of authority in performing the driving task comprises a level of authority for the driver's lateral control input; and

the ADS's level of authority in in performing the driving task comprises a level of authority for the ADS's lateral control input.

6 . The computer-implemented method of claim 1 , wherein the blending parameter and the target temperature perception value are linearly correlated.

7 . The computer-implemented method of claim 1 , wherein:

the target temperature perception value comprises a first temperature; and

the physical temperature stimulus value comprises a second temperature.

8 . The computer-implemented method of claim 1 , wherein: the driver's level of authority in performing the driving task comprises a level of authority for the driver's lateral control input; and

the ADS's level of authority in performing the driving task comprises a level of authority for the ADS's lateral control input.

9 . The computer-implemented method of claim 1 , wherein the blending parameter and the target sensory perception value are correlated via a linear relationship.

10 . The computer-implemented method of claim 1 , performed dynamically as the blending parameter changes over time.

11 . The computer-implemented method of claim 1 , performed dynamically as the blending parameter changes over time.

12 . A vehicle comprising:

a driver's seat; and

one or more processors including machine executable instructions in non-transitory memory to cause the vehicle to:

determine a blending parameter for a driving task for a vehicle, the blending parameter representing a ratio between a driver's level of authority and the one or more processor's level of authority in performing the driving task;

correlate the blending parameter to a target sensory perception value to be perceived by the driver through the driver's seat;

use a psychophysical model which correlates physical stimuli to sensory perception via a non-linear relationship to determine a physical stimulus value to produce the target sensory perception value, wherein the psychophysical model considers at least one of:

ambient temperature and humidity in the cabin of the vehicle;

current temperature of upholstery material of the driver's seat;

the upholstery material of the driver's seat;

skin temperature characteristics;

location of an applied temperature vis-a-vie the driver's body; or

stored calibration data related to the driver's perception of physical temperature changes; and

generate the physical stimulus value at the driver's seat thereby communicating to the driver the ADS's level of authority in performing the driving task.

13 . The vehicle of claim 12 , wherein the blending parameter and the target sensory perception value are correlated via a linear relationship.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 5, 2022
From: KUEHNER, MANUEL LUDWIG; YASUDA, HIROSHI; PITA GIL, GUILLERMO
To: TOYOTA RESEARCH INSTITUTE, INC.; TOYOTA JIDOSHA KABUSHIKI KAISHA
Reel/Frame 059509/0638 →
Continuity (1)
Related Publication 20230311924A1 · Oct 5, 2023
References Cited (24)
US 9855945B2 · Fung · 2018 [cited by applicant]
US 10081365B2 · Palmer · 2018 [cited by applicant]
US 10137777B2 · Lu · 2018 [cited by applicant]
US 10457146B2 · Schnur · 2019 [cited by applicant]
US 10913413B2 · Rowe · 2021 [cited by applicant]
US 20090093930A1 · Hatano · 2009 [cited by applicant]
US 20100007480A1 · Uozumi · 2010 [cited by applicant]
US 20160297358A1 · Hergeth · 2016 [cited by applicant]
US 20170227959A1 · Lauffer · 2017 [cited by examiner]
US 20170253252A1 · Donnelly · 2017 [cited by examiner]
US 20180164808A1 · Prokhorov · 2018 [cited by examiner]
US 20190009794A1 · Toyoda · 2019 [cited by applicant]
US 20190063797A1 · Yi · 2019 [cited by examiner]
US 20200216095A1 · Isozaki · 2020 [cited by examiner]
US 20200277004A1 · Zheng · 2020 [cited by applicant]
US 20200290646A1 · Safour · 2020 [cited by applicant]
US 20200346642A1 · Varunjikar · 2020 [cited by applicant]
US 20210039715A1 · Ferrer · 2021 [cited by applicant]
US 20210183215A1 · Carter · 2021 [cited by applicant]
US 20220032922A1 · Lee · 2022 [cited by examiner]
US 20220212679A1 · Winther · 2022 [cited by examiner]
KR 20000033374A · 2000 [cited by applicant]
WO 2014149657A1 · 2014 [cited by applicant]
Erlien et al., “Shared Steering Control Using Safe Envelopes for Obstacle Avoidance and Vehicle Stability,” IEEE Transactions on Intelligent Transportation Systems, 17(2):441-451, Nov. 4, 2015 (https://doi.org/10.1109/T… [cited by applicant]