Driving event recognition and training method and device, equipment and storage medium

An event and recognition model technology, applied in the field of equipment, storage media, devices, recognition of driving events and its training method, can solve the problems of cumbersome detection of driving events and other problems, achieve the effect of less training, guarantee of personalization, and easy operation

Active Publication Date: 2020-11-13
广州景骐科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The embodiment of the present invention proposes a method, device, equipment and storage medium for identifying driving events and its training, so as to solve the problem of cumbersome operations for detecting driving events

Method used

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  • Driving event recognition and training method and device, equipment and storage medium
  • Driving event recognition and training method and device, equipment and storage medium
  • Driving event recognition and training method and device, equipment and storage medium

Examples

Experimental program
Comparison scheme
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Embodiment 1

[0057] figure 2 It is a flow chart of a method for identifying driving events provided by Embodiment 1 of the present invention. This embodiment is applicable to the situation of recognizing driving events adaptively to user operations, and the method can be executed by identifying driving events and its training device. The device for recognizing a driving event can be implemented by software and / or hardware, and can be configured in a computer device, for example, a driving control device, etc., and specifically includes the following steps:

[0058] Step 201. Collect data representing driving events as driving parameters.

[0059] In this embodiment, when the user drives the vehicle, the automatic driving mode can be activated. The so-called automatic driving mode can refer to the mode in which the vehicle itself has environmental perception, path planning and autonomous vehicle control, that is, the vehicle is controlled by electronic technology. Humanoid driving.

[00...

Embodiment 2

[0101] Figure 4 It is a flowchart of a method for identifying driving events provided by Embodiment 2 of the present invention. Based on the foregoing embodiments, this embodiment further refines the process of searching for the original event recognition model, training the target event recognition model, and recognizing urgent driving events. Operation, the method specifically includes the following steps:

[0102] Step 401, collecting data representing driving events as driving parameters.

[0103] Step 402: Divide the driving parameters within the first time period into a first target parameter and a second target parameter.

[0104] Wherein, the value of the first target parameter is greater than the value of the second target parameter.

[0105] Step 403, searching for an event recognition model matching the vehicle type.

[0106] In this embodiment, the event recognition model distributed by the server and matched with the vehicle type is extracted locally in the cu...

Embodiment 3

[0181] Figure 6 It is a flowchart of a training method for an event recognition model provided by Embodiment 1 of the present invention. This embodiment is applicable to the situation of adaptively recognizing driving events by user's operation, and the method can be executed by recognizing driving events and its training device , the training device of the event recognition model can be implemented by software and / or hardware, and can be configured in a computer device, such as a server, a personal computer, etc., specifically including the following steps:

[0182] Step 601. Obtain the model link trained when the user drives the vehicle from the vehicle.

[0183] In the computer device, the event recognition models trained by the method for recognizing driving events provided by any embodiment of the present invention can be collected. These event recognition models are trained when the user is driving the vehicle, and are uploaded to the computer device by the vehicle, and...

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Abstract

The embodiment of the invention provides a driving event recognition method and device, a training method and device, equipment and a storage medium. The method comprises the following steps: collecting data representing a driving event as a driving parameter, and dividing the driving parameters in the first time period into a first target parameter and a second target parameter; in an event recognition model matched with the type of a vehicle, searching an event recognition model suitable for processing the second target parameter as an original event recognition model, training an original event recognition model by taking the first target parameter as a sample for identifying urgency and the second target parameter as a sample for identifying non-urgency; obtaining a target event recognition model, wherein the target event recognition model is called to recognize the emergency driving event from the driving parameters in the second time period, training is continued on the basis ofthe previous event recognition model, the training amount is small, the real-time requirement is met, the event recognition model conforming to the driving style of the user is learned, and the personalized driving event is recognized.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of automatic driving, and in particular to a method, device, device and storage medium for recognizing driving events and training thereof. Background technique [0002] When the user drives the vehicle, the driving event triggered by the user is usually identified, thereby assisting the user in making a driving decision and improving driving safety. [0003] Among them, the driving event refers to an observable event that occurs during the driving of the vehicle, such as sudden braking, lane change, and so on. [0004] At present, in order to detect driving events, a static threshold is usually set for each corresponding index. If the value of the index exceeds or falls below this threshold, it is considered that a driving event has occurred. For example, a threshold is set for acceleration. If the acceleration exceeds this threshold, it is considered A sudden brake occurs. [0005] ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06N3/04G06N3/08
CPCG06N3/049G06N3/08G06N3/048G06N3/045G06F18/2415
Inventor 李斌孙子文霍达韩旭
Owner 广州景骐科技有限公司
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