Faurecia has been granted a patent for an image processor that detects boundary lines and parking frames using image signals from an imaging device. The processor scans the image to detect edges and determines the attribute of the parking frame based on the stored edge state. GlobalData’s report on Faurecia 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 Faurecia, Autonomous seating was a key innovation area identified from patents. Faurecia's grant share as of April 2024 was 48%. Grant share is based on the ratio of number of grants to total number of patents.
Image processor for detecting parking frame attributes using boundary lines
The granted patent (Publication Number: US11967158B2) discloses an image processor designed for vehicles, comprising a microcomputer with a central processing unit and memory. The central processing unit is programmed to detect boundary lines and parking frames using image signals from an imaging device, as well as acquire dividing points to scan for edges within the parking frame. The memory stores the state of edges and attributes of parking frames, allowing the central processing unit to determine the attributes based on the detected edges and stored information.
Furthermore, the image processor includes features such as setting the state of edges and parking frame attributes based on different parking types, storing information related to line width, number, and spacing in the memory, and identifying attributes like parking prohibition areas or electric vehicle parking frames. The central processing unit can also control displays to overlay images with parking frame attributes, register position information in memory, and perform image processing methods to detect boundaries, parking frames, edges, and determine attributes based on stored data. Overall, the patent highlights a sophisticated image processing system tailored for vehicle surroundings, enhancing parking assistance and navigation capabilities.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
