Alarm method and device of driving assistance system and electronic equipment

A technology for driving assistance systems and alarm conditions, applied in instruments, character and pattern recognition, computer parts, etc., can solve problems such as false alarms and affect the recognition rate of target objects, reduce the probability of false alarms, improve user experience, Optimizing the effect of training results

Pending Publication Date: 2020-09-29
HANGZHOU HIKVISION DIGITAL TECH
View PDF5 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to the complexity of the application scenario, the images collected by the monitoring equipment often contain rich information, which may affect the recognition rate of the target object to be recognized by the deep learning model, and thus lead to false alarms

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Alarm method and device of driving assistance system and electronic equipment
  • Alarm method and device of driving assistance system and electronic equipment
  • Alarm method and device of driving assistance system and electronic equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0049] In order to enable those skilled in the art to better understand the technical solutions in the embodiments of the present invention, and to make the above-mentioned purposes, features and advantages of the embodiments of the present invention more obvious and understandable, the technical solutions in the embodiments of the present invention are described below in conjunction with the accompanying drawings The program is described in further detail.

[0050]For the deep learning model of the safety driving assistance system, there may be target objects to be identified inside and outside the drivable area of ​​the vehicle. For example, the target objects can include motor vehicles, non-motor vehicles, and people driving on the road etc., as well as motor vehicles, non-motor vehicles, personnel, etc.

[0051] Among them, outside the drivable area, the target object may be occluded by the background (other objects except the target to be recognized), such target object c...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention provides an alarm method and device for a driving assistance system and electronic equipment, and the method comprises the steps: inputting a collected current image into a trained deeplearning model, so as to enable the deep learning model to recognize a target object in the current image, wherein the deep learning model is obtained by training a sample image in a specified training sample set, the specified training sample set comprises a sample image carrying a specified negative sample, a target object does not exist in a position indicated by the specified negative sample of the sample image, a sample label of a sample image in the training sample set comprises a target attribute, and the target attribute represents whether a target object corresponding to the sample label is shielded or not; and determining whether a preset alarm strategy is satisfied based on an identification result of the deep learning model, and if yes, outputting alarm information. According to the invention, the false alarm probability is effectively reduced, and the user experience is improved.

Description

technical field [0001] The present application relates to the field of intelligent driving, in particular to an alarm method, device and electronic equipment for a driving assistance system. Background technique [0002] The Safe Driver Assistant System (SDAS) can use the monitoring equipment installed on the vehicle (such as cameras and sensors) to collect environmental parameters inside and outside the vehicle, and carry out identification, detection and tracking of static and dynamic objects. Prompt the driver of possible dangers when necessary, so as to effectively reduce the probability of accidents and reduce accident injuries. [0003] In related technologies, a deep learning model is usually used to process the image collected by the monitoring equipment, output the position information and category information of the target object to be identified in the image, and further check whether the output result meets the preset alarm strategy, and then Alarm when the alar...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06V20/56G06F18/214
Inventor 余倩
Owner HANGZHOU HIKVISION DIGITAL TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products