Downward-view pedestrian risk quantification method based on two-dimensional world coordinate system

A quantitative method and coordinate system technology, applied in image data processing, instruments, data processing applications, etc., to achieve the effect of reducing complexity

Active Publication Date: 2018-12-07
DALIAN NATIONALITIES UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] In order to solve the problem of determining the pedestrian target risk from th

Method used

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Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0101] Example 1:

[0102] For the vehicle video of the measured road scene with a pixel size of 1920×1080, this embodiment adopts the patent to quantify the adjacent pedestrian risk coefficients of two pedestrian targets in the image. The calculation results of the risk coefficient of adjacent pedestrians can be seen Figure 11 In (a), (b), (c) and (d), it can be seen that for the two pedestrian targets in the image crossing the front area of ​​the vehicle, reasonable pedestrian risk quantification results are given.

Example Embodiment

[0103] Example 2:

[0104] In this example, for the two pedestrian targets in the vehicle video of the measured road scene with a size of 1920×1080, the calculation results of the risk coefficient of adjacent pedestrians are given as follows: Figure 12 shown in (a), (b), (c) and (d). It can be seen that the present invention provides accurate pedestrian risk quantification results for pedestrian targets that are not related to vehicles.

Example Embodiment

[0105] Example 3:

[0106] In this example, the vehicle video is a measured road scene image with a pixel size of 1920 × 1080, and 2 pedestrian targets in the continuous image are quantified. The calculation results of the adjacent pedestrian risk coefficient are as follows: Figure 13 (a), (b), (c) and (d). It can be seen that, for the pedestrian crossing the area in front of the vehicle in the video image, the present invention provides accurate pedestrian risk quantification results.

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Abstract

The invention provides a downward-view pedestrian risk quantification method based on a two-dimensional world coordinate system, belongs to the field of driving risk analysis and is to solve the problem of determining pedestrian target risk from the perspective of images. The method is mainly characterized by setting a pedestrian motion observation range, constructing a downward-view two-dimensional world coordinate system pedestrian trajectory matrix MP corresponding to N downward-view two-dimensional world coordinate system pedestrian trajectory vectors, and independently corresponding to adownward-view two-dimensional world coordinate system pedestrian trajectory matrix MP from the world coordinate system; and constructing a downward-view two-dimensional world coordinate system ahead-of-vehicle risk matrix MV matched with the pedestrian trajectory matrix, and copying out a same copy matrix MV. The beneficial effects are that vehicle driving risk to each pedestrian target is quantified as a normalized risk index, thereby providing important decision-making data basis for a pedestrian obstacle avoidance function for advanced driving assistance and autonomous cruise of intelligent vehicles.

Description

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Claims

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Application Information

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Owner DALIAN NATIONALITIES UNIVERSITY
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