Braking system, method and device and fatigue driving model training method and device

A braking system and fatigue driving technology, applied in the direction of control devices, automatic starting devices, etc., can solve problems that affect driving experience, driver injury, and response to dangerous situations

Active Publication Date: 2020-07-21
MOMENTA SUZHOU TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, AEB technology also has significant defects: because it triggers very strong braking, once the vehicle detects a false detection of the front target, unnecessary emergency braking will occur, which will not only seriously affect the driving experience, but also cause serious damage. It may cause serious accidents such as driver injury and rear-end collision
This has resulted in many AEB systems not being able to respond to all hazardous situations

Method used

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  • Braking system, method and device and fatigue driving model training method and device
  • Braking system, method and device and fatigue driving model training method and device
  • Braking system, method and device and fatigue driving model training method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0108] see Figure 1a , Figure 1a It is a flow chart of a training method for a fatigue driving model provided by an embodiment of the present invention. This method can be applied in the field of automatic driving, and generally can be integrated in a training device for a fatigue driving model. The device can use software and / or hardware way to achieve. Such as Figure 1a As shown, the method includes:

[0109] 102. Acquire an image including the driver's face area.

[0110] In this embodiment, the source of the image containing the driver's face area can be the image in the public data set, or the driver's image captured by the vehicle's camera can be obtained from the vehicle's storage device. In some cases, the sample image can also be obtained directly, for example, directly obtain the real-time image collected by the camera of the vehicle, after detecting and segmenting the face, mark the face image, and use the marked image as the sample image, that is training samp...

Embodiment 2

[0135] see figure 2 , figure 2 It is a schematic flowchart of a vehicle braking method provided by an embodiment of the present invention. The method is applied in automatic driving, and can be executed by a driver monitoring device, which can be implemented by means of software and / or hardware, and generally can be applied to vehicles such as on-board computers and on-board industrial personal computers (IPC). In the braking system, the embodiment of the present invention does not limit it. Such as figure 2 As shown, the braking method of the vehicle provided in this embodiment specifically includes:

[0136] 210. Based on the preset fatigue driving detection model, recognize the image containing the driver's face area, and determine the driver's mental state.

[0137] Wherein, the mental state of the driver includes a fatigue state, a state of distraction, a state of no fatigue, a state of no distraction, and the like. The mental state mentioned above can be determin...

Embodiment approach

[0142] (1) Determine the driver's reaction state according to the fatigue state and / or distraction state.

[0143] If the driver is neither distracted nor fatigued, it is determined that the driver's reaction state is a high reaction state. In this state, the driving process is relatively safe; if the driver is in a state of distraction or in a state of fatigue, or both in a state of distraction and in a state of fatigue, it is determined that the driver is in a state of low response. In this state, the driver has no time to react to possible dangerous situations, and the driving process is risky.

[0144] Further, as an optional implementation, when judging the driver's reaction state, it can also be judged in conjunction with the driver's gaze direction, that is:

[0145] (2) Determine the driver's reaction state according to the fatigue state, distraction state and the driver's line of sight direction.

[0146] Specifically, this method can be as follows: detecting the dr...

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Abstract

The embodiment of the invention discloses a vehicle braking system, method and device and a fatigue driving model training method and device. The braking system of the vehicle comprises an automatic emergency braking device and a driver monitoring device, wherein when the automatic emergency braking device detects a risk area, a detection result that the risk area exists is sent to the driver monitoring device; when the driver monitoring device receives the detection result sent by the automatic emergency braking device, based on a preset fatigue driving detection model, an image containing the face area of the driver is recognized to determine the mental state of the driver, the reaction state of the driver is judged according to the mental state, and the judgment result is sent to the automatic emergency braking device; and the automatic emergency braking device is configured to receive the judgment result and adjust the braking strategy according to the judgment result. By adoptingthe above technical scheme, the triggering accuracy and safety of the automatic emergency braking device are improved.

Description

technical field [0001] The invention relates to the technical field of automatic driving, in particular to a vehicle braking system, method, device, training method and device for a fatigue driving model. Background technique [0002] With the development of the times, artificial intelligence has gradually been widely used in various fields, so emerging concepts such as "autonomous driving" and "unmanned vehicles" have also been derived. Road scene analysis and environment recognition are key problems in the field of autonomous driving, and the ability to respond and deal with the real-time road environment correctly and quickly is the key factor to ensure the safety of autonomous driving. Therefore, a focus of research in the field of autonomous driving is automotive active safety technology. [0003] AEB (Autonomous Emergency Braking, automatic emergency braking) is an active safety technology for automobiles. At present, AEB is one of the active safety technologies that...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): B60W40/08B60W50/14B60T7/12B60T7/22
CPCB60W40/08B60W50/14B60T7/12B60T7/22B60W2040/0818B60W2050/143
Inventor 贾思博冉旭王晋玮
Owner MOMENTA SUZHOU TECH CO LTD
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