IP Library Granted Patent US 12,583,482
Granted Patent B2
US 12,583,482 · App. 18/096,312 · Granted Mar 24, 2026

Systems and methods for mode confusion avoidance

Inventors: Manuel Ludwig Kuehner (Mountain View, CA); Hiroshi Yasuda (San Francisco, CA)
Assignee: Woven by Toyota, Inc.
B60W60/0051B60W50/14B60W60/0053B60W2050/146
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Quick Facts
Patent No.
US 12,583,482
App. No.
18/096,312
Granted
Mar 24, 2026
Kind
B2
Abstract

System, methods, and other embodiments described herein relate to mode confusion avoidance. In one embodiment, a method includes selecting a routine path; determining a likelihood of expected autonomous driving assistance based on a location within the routine path; and generating a notification if autonomous driving assistance has not been enabled and the likelihood exceeds a threshold.

Claims (31)

1 . A method, comprising:

selecting a routine path that includes usage data of prior autonomous driving assistance along the routine path;

determining a likelihood of expected autonomous driving assistance based on the usage data and a vehicle location within the routine path; and

generating a notification when autonomous driving assistance has not been enabled and the likelihood exceeds a threshold.

2 . The method of claim 1 , wherein determining the likelihood only occurs when the autonomous driving assistance was disabled by a manual control event.

3 . The method of claim 1 , wherein determining the likelihood only occurs when a vehicle determines based on control inputs that a resting state has occurred.

4 . The method of claim 1 , wherein selecting the routine path requires uniquely identifying a path routinely taken by a specific vehicle.

5 . The method of claim 1 , wherein selecting the routine path requires uniquely identifying a path routinely taken by a specific vehicle occupant.

6 . The method of claim 1 , wherein generating the notification further comprises increasing an intensity, a frequency, or a number of repetitions of the notification due to the likelihood exceeding the threshold.

7 . The method of claim 1 , wherein the notification contains information as to the autonomous driving assistance that is not in operation.

8 . The method of claim 1 , wherein selecting the routine path requires uniquely identifying a path routinely taken by a specific vehicle operator.

9 . A system, comprising:

a processor; and

a memory communicably coupled to the processor and storing machine-readable instructions that, when executed by the processor, cause the processor to:

select a routine path that includes usage data of prior autonomous driving assistance along the routine path;

determine a likelihood of expected autonomous driving assistance based on the usage data and a vehicle location within the routine path; and

generate a notification if autonomous driving assistance has not been enabled and the likelihood exceeds a threshold.

10 . The system of claim 9 , wherein the machine-readable instruction to determine the likelihood only occurs when the autonomous driving assistance was disabled by a manual control event.

11 . The system of claim 9 , wherein the machine-readable instruction to determine the likelihood only occurs when a vehicle determines based on control inputs that a resting state has occurred.

12 . The system of claim 9 , wherein the machine-readable instruction to select the routine path requires uniquely identifying a path routinely taken by a specific vehicle.

13 . The system of claim 9 , wherein the machine-readable instruction to select the routine path requires uniquely identifying a path routinely taken by a specific vehicle occupant.

14 . The system of claim 9 , wherein the machine-readable instruction to generate the notification further includes to increase an intensity, a frequency, or a number of repetitions of the notification due to the likelihood exceeding the threshold.

15 . The system of claim 9 , wherein the notification contains information as to the autonomous driving assistance that is not in operation.

16 . A non-transitory computer-readable medium including instructions that when executed by one or more processors cause the one or more processors to:

select a routine path that includes usage data of prior autonomous driving assistance along the routine path;

determine a likelihood of expected autonomous driving assistance based on the usage data and a vehicle location within the routine path; and

generate a notification if when autonomous driving assistance has not been enabled and the likelihood exceeds a threshold.

17 . The non-transitory computer-readable medium of claim 16 , wherein the instruction to determine the likelihood only occurs when the autonomous driving assistance was disabled by a manual control event.

18 . The non-transitory computer-readable medium of claim 16 , wherein the instruction to determine the likelihood only occurs when a vehicle determines based on control inputs that a resting state has occurred.

19 . The non-transitory computer-readable medium of claim 16 , wherein the instruction to select the routine path requires uniquely identifying a path routinely taken by a specific vehicle.

20 . The non-transitory computer-readable medium of claim 16 , wherein the instruction to select the routine path requires uniquely identifying a path routinely taken by a specific vehicle occupant.

Assignments (2)
MERGER AND CHANGE OF NAME Recorded Jun 23, 2023
From: WOVEN ALPHA, INC.; WOVEN BY TOYOTA, INC.
To: WOVEN BY TOYOTA, INC.
Reel/Frame 064044/0373 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 26, 2023
From: KUEHNER, MANUEL LUDWIG; YASUDA, HIROSHI
To: WOVEN ALPHA, INC.
Reel/Frame 062491/0413 →
Continuity (1)
Related Publication 20240239379A1 · Jul 18, 2024
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