Forvia has filed a patent for a data processing system that efficiently identifies target objects pointed to by a vehicle occupant. The system includes components such as a position detection unit, occupant state recognition unit, target object database, appearance feature database, speech recognition unit, object recognition unit, and an output unit. GlobalData’s report on Forvia 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 Forvia, Autonomous seating was a key innovation area identified from patents. Forvia's grant share as of January 2024 was 45%. Grant share is based on the ratio of number of grants to total number of patents.

Efficiently identifying target objects pointed to by vehicle occupants

Source: United States Patent and Trademark Office (USPTO). Credit: Forvia SE

A newly filed patent (Publication Number: US20240037956A1) describes a data processing system for vehicles that includes a position detection unit, an occupant state recognition unit, a target object database, an appearance feature database, a speech recognition unit, an object recognition unit, and an output unit. The system is designed to detect the position of the vehicle, recognize the motion of the occupant pointing outside the vehicle, accumulate data on target objects and their appearance features, recognize words or phrases from the occupant's speech, extract target object candidates, and output them in the vehicle's cabin. The system aims to enhance the occupant's interaction with the environment outside the vehicle by providing information on target objects that may be of interest.

Furthermore, the patent also includes a target object recognizing method and an information providing system that communicates with a vehicle to acquire position, direction, audio, and images from inside the cabin. The system comprises a speech recognition unit, a gesture recognition unit, a region estimation unit, a database storing target object information, and a candidate target object acquisition unit. This system is designed to recognize appearance features from the occupant's speech, gestures indicating direction, estimate the indicated region on the ground, retrieve target object candidates from the database based on the recognized features, and provide information about the candidate target object to the vehicle. The system's goal is to improve the occupant's experience by offering relevant information about target objects based on their appearance features and gestures.

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