IP Library Granted Patent US 11,276,305
Granted Patent B2
US 11,276,305 · App. 16/883,372 · Granted Mar 15, 2022

System for predicting road surface friction coefficient

Inventor: Satomi Kakehi (Toyota, JP)
Assignee: JTEKT CORPORATION
G08G1/096775B60C23/0488B60W40/068G01S19/42G07C5/0808G07C5/0816B60W2552/05B60W2555/20B60W2556/45G07C5/02
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Quick Facts
Patent No.
US 11,276,305
App. No.
16/883,372
Granted
Mar 15, 2022
Kind
B2
Abstract

A system for predicting a road surface friction coefficient includes an external information acquisition part, a tire information acquisition part, and a friction coefficient prediction part. The external information acquisition part configured to acquire external information on a disturbance factor that affects a condition of a road surface on which a target vehicle travels. The tire information acquisition part configured to acquire tire information indicating a condition of a tire of the target vehicle. The friction coefficient prediction part configured to predict a friction coefficient between the tire and the road surface based on the tire information acquired by the tire information acquisition part and the external information acquired by the external information acquisition part. The friction coefficient prediction part predicts a friction coefficient of a road surface ahead of the target vehicle in a traveling direction.

Claims (10)

1. A system for predicting a friction coefficient, comprising:

an external information acquisition part configured to acquire external information on a disturbance factor that affects a condition of a road surface on which a target vehicle travels;

a tire information acquisition part configured to acquire tire information indicating a condition of a tire of the target vehicle; and

a friction coefficient prediction part configured to predict the friction coefficient between the tire and the road surface based on the tire information acquired by the tire information acquisition part and the external information acquired by the external information acquisition part,

wherein the friction coefficient prediction part predicts the friction coefficient of the road surface ahead of the target vehicle in a traveling direction, and

wherein the friction coefficient prediction part predicts the friction coefficient of the road surface at a stop position of the target vehicle based on the external information acquired immediately before start of the target vehicle.

2. The system according to claim 1 ,

wherein the external information includes at least one of weather information and road information.

3. The system according to claim 1 ,

wherein the tire information acquisition part acquires the tire information based on friction coefficients between tires of a plurality of preceding vehicles and road surfaces.

Assignments (2)
CHANGE OF ADDRESS Recorded Feb 18, 2022
From: JTEKT CORPORATION
To: JTEKT CORPORATION
Reel/Frame 060263/0275 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 16, 2020
From: KAKEHI, SATOMI
To: JTEKT CORPORATION
Reel/Frame 053791/0883 →