Flight path fusion method and system based on multiple sensors at single intersection

A multi-sensor, track fusion technology, applied in road network navigators, radio wave measurement systems, instruments, etc., can solve the problems of large errors and poor versatility of track fusion, so as to reduce the amount of calculation and errors, and achieve universal strong effect

Pending Publication Date: 2022-03-25
AI SUPER EYE TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

This technology allows for better way of aligning targets with cameras by utilizing multiple sensory devices installed along an intersect line or roadway. It uses advanced mathematical techniques such as correlation analysis between specific measurements from these sources (radars) and image processing tools like filters). By comparing successive frames together, we are able to determine if there were any objects detected correctly without requiring complex calculations. Additionally, this innovation does away with traditional methods involving complicated computations and requires less computing resources than existing systems.

Problems solved by technology

The technical problem addressed in this patented technology relates to improving the accuracy of detecting traffic signals on intersections without requiring complicated processing or relying solely upon Karnaugh's filters.

Method used

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  • Flight path fusion method and system based on multiple sensors at single intersection
  • Flight path fusion method and system based on multiple sensors at single intersection
  • Flight path fusion method and system based on multiple sensors at single intersection

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Embodiment Construction

[0048] The technical solutions of the present invention will be described in further detail below with reference to the accompanying drawings and embodiments.

[0049] Such as figure 1 As shown, a method for track fusion based on multiple sensors at a single intersection provided by an embodiment of the present invention includes the following steps:

[0050] 101. According to the preset data association algorithm and the radar distance information and camera distance information of each target point in the current frame, determine the successfully matched target points and the unsuccessfully matched target points in the current frame.

[0051] Wherein, the preset data association algorithm may be a global nearest neighbor algorithm, a nearest neighbor data association algorithm, a joint probability data association algorithm, a multi-hypothesis tracking algorithm, etc., which are not limited in this embodiment of the present invention.

[0052] For the embodiment of the present

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Abstract

The invention discloses a track fusion method and system based on a single intersection and multiple sensors, and relates to the field of intersection intelligent vehicle management, and the method comprises the steps: firstly determining successfully matched target points and unsuccessfully matched target points in a current frame according to a preset data association algorithm and the radar distance information and camera distance information of each target point of the current frame; then different track information generation strategies are adopted for target points under different conditions, Kalman filtering does not need to be carried out, and therefore the method is high in universality and suitable for distributed sensor track management of various video tracking algorithms and radar tracking algorithms, meanwhile, the corresponding track information generation strategies are selected according to the types of the target points, and the track information generation strategy generation efficiency is improved. The calculation amount and errors in the data fusion process can be reduced.

Description

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Claims

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Application Information

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Owner AI SUPER EYE TECH CO LTD
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