Method and apparatus for predictive driving demand modeling
US-10002470-B2 · Jun 19, 2018 · US
Intelligent driving system with an embedded driver model
US10286900B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10286900-B2 |
| Application number | US-201515512987-A |
| Country | US |
| Kind code | B2 |
| Filing date | Apr 15, 2015 |
| Priority date | Sep 23, 2014 |
| Publication date | May 14, 2019 |
| Grant date | May 14, 2019 |
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Abstract
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An intelligent driving system with an embedded driver model. The system includes a driver model module that adjusts vehicle performances according to driving characteristics of a driver and road environment. A driver's visual and tactile information may be taken into account when driving a vehicle, so as to tune vehicle performances to allow the vehicle to adapt itself to the individual driver.
First claim
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What is claimed is: 1. An intelligent driving system with an embedded driver model, comprising: a road environment detection module, a driver operation detection module, a complete vehicle system module, and a driver model module; wherein, the road environment detection module is used for detecting the road environment information that comprises visual information related to the driver's operations on the vehicle; the driver operation detection module is used for detecting driver operation data that comprise tactile information related to the driver's operations on the vehicle; the complete vehicle system module is used for outputting vehicle state parameters; the driver model module is used for 1) collecting the road environment information detected by the road environment detection module, the driver operation data detected by the driver operation detection module, and the vehicle state parameters output by the complete vehicle system module, 2) analyzing the road environment information and the vehicle state parameters to obtain an expected parameter value required for driving, 3) analyzing the output data collected by the driver operation detection module to obtain the driving characteristics of the driver, 4) comparing the expected parameter value with the driving characteristics of the driver to obtain the driver's demands for the vehicle performance, and 5) tuning corresponding parameters of the vehicle according to the driver's demands. 2. The system according to claim 1 , characterized by further comprising a driver module, wherein the driver module is used for changing a motion state of the vehicle according to the operation of the driver. 3. The system according to claim 1 , characterized in that the road environment detection module comprises a distances-measuring radar and a camera; the road environment information comprises the visual information related to the driver's operations on the vehicle; and the visual information comprises a road curvature, a road width, an adhesion coefficient of road surface, and a traffic flow. 4. The system according to claim 1 , characterized in that the tactile information comprises operation parameter data on a steering wheel, a brake pedal, an accelerator pedal, a clutch and a transmission. 5. The system according to claim 1 , characterized in that the vehicle states parameters output by the complete vehicle system module comprise a vehicle speed, a longitudinal acceleration and a yaw velocity. 6. The system according to claim 1 , characterized in that the road environment comprises curve road, at a certain time, a road curvature radius ρ, an actual steering wheel angle δ s and a longitudinal velocity ν x of the vehicle are detected by the road environment detection module, the driver operation detection module, and the complete vehicle system module, respectively, and an expected steering wheel angle δ sr = i s L ( 1 - Kv x 2 ) ρ is calculated in the driver model module, wherein L is a wheelbase, i s is a steering ratio, K is a vehicle stability coefficient, ν x is the longitudinal velocity of the vehicle and ρ is the road curvature radius; the driver module compares the actual steering wheel angle δ s with the expected steering wheel angle δ sr , if { δ s - δ sr ≥ Δδ δ s ≥ δ sr , it is determined that the driver prefers a relatively high tire-road force, and then the value of suspension damping parameter is increased; if { δ s - δ sr ≥ Δδ δ s < δ sr , it indicates that the driver prefers a relatively good comfortableness when passing the curve road, and then the value of suspension damping parameter is reduced; if ∥δ s
Assignees
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Classifications
Longitudinal acceleration · CPC title
Yaw · CPC title
Traffic conditions · CPC title
Curvature of the road · CPC title
Road conditions · CPC title
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- What does patent US10286900B2 cover?
- An intelligent driving system with an embedded driver model. The system includes a driver model module that adjusts vehicle performances according to driving characteristics of a driver and road environment. A driver's visual and tactile information may be taken into account when driving a vehicle, so as to tune vehicle performances to allow the vehicle to adapt itself to the individual driver.
- Who is the assignee on this patent?
- Beijing Institute Tech
- What technology area does this patent fall under?
- Primary CPC classification B60W40/105. Mapped technology areas include Operations & Transport.
- When was this patent published?
- Publication date Tue May 14 2019 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
- What related patents are in patentsdb?
- We list 3 related publications on this page (citations in our corpus or others sharing the same primary CPC).