MBDA Holdings has been granted a patent for a device and method that estimates the distance between an observer and a target using images generated by a digital image generator. The process involves detecting the target, creating projections of a 3D model, and selecting the best match to determine the distance. GlobalData’s report on MBDA Holdings gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on MBDA Holdings, was a key innovation area identified from patents. MBDA Holdings's grant share as of June 2024 was 59%. Grant share is based on the ratio of number of grants to total number of patents.
Distance estimation between observer and target using images
The patent US12039755B2 outlines a method and device for estimating the distance between an observer and a target using digital images. The method involves a series of steps, starting with the detection and identification of the target within the image. This is achieved through a detection sub-step that identifies the target's pixels or outlines, followed by a recognition step that classifies the target. The distance estimation process includes projecting a three-dimensional model of the identified target onto the image to create various projected representations. These representations are then compared to the imaged representation of the target, with scores assigned based on the quality of the match. The representation with the highest score is selected, and the associated distance is determined as the estimated distance between the observer and the target.
Additionally, the patent describes the use of machine learning techniques for the detection and identification process, which may involve generating classification models prior to the detection step. The three-dimensional models of the targets are represented as geometric polygons, and the method may include steps for generating images and transmitting the estimated distance to user systems. The device designed for this purpose comprises a detection and identification unit and a distance estimation unit, which work together to perform the necessary calculations and comparisons. The method can be implemented either automatically or semi-automatically, enhancing its versatility in various applications.
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