Hitachi’s patent describes a recognition model distribution system for vehicles that updates recognition models based on external data. It includes a data analysis unit to identify recognition failures, generate 3D graphics, and create training data for improved object recognition, enhancing scene recognition accuracy. GlobalData’s report on Hitachi 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 Hitachi, M2M communication interfaces was a key innovation area identified from patents. Hitachi's grant share as of July 2024 was 34%. Grant share is based on the ratio of number of grants to total number of patents.
Recognition model distribution system for vehicle environment recognition
The granted patent US12073607B2 outlines a sophisticated recognition model distribution system designed to enhance vehicle recognition capabilities in external environments. The system comprises several interconnected units, including a data analysis unit that selects an appropriate recognition model from a variety of options and identifies recognition failure points in traffic scenes. This analysis is informed by data from an external environment recognition unit, which may include cameras. The system further generates three-dimensional computer graphics videos to visualize these traffic scenes, alongside parameters for simulating similar environments. A three-dimensional object generation unit then creates traffic objects through traffic flow simulations, while a teacher data generation unit produces necessary training data for refining the recognition model.
Additionally, the system incorporates advanced features such as a difference extraction unit that compares the generated graphics with real-world data to identify discrepancies, and an object recognition unit that identifies relevant objects. The recognition model distribution system also includes mechanisms for managing traffic flow simulations and events, ensuring that the generated three-dimensional objects accurately reflect real-world scenarios. A result comparison unit evaluates the accuracy of the recognition outcomes against the correct answer data, allowing for the identification of unrecognized objects. This comprehensive approach aims to improve the reliability and effectiveness of vehicle recognition systems in diverse traffic environments, ultimately contributing to safer and more efficient vehicular navigation.
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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.
