Kia had three patents in big data during Q1 2024. Kia Corp filed a patent for an object recognition apparatus using Lidar sensor data to determine ground height values for objects. Another patent involves an experience sharing system using VR technology to record and share user experiences, with a data processing device analyzing and enhancing the content before transmission. GlobalData’s report on Kia gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Kia had no grants in big data as a theme in Q1 2024.
Recent Patents
Application: Object recognition apparatus and vehicle having the same (Patent ID: US20240046658A1)
The patent filed by Kia Corp describes an object recognition apparatus that includes a Lidar sensor and processors to recognize objects, determine ground height values, and calculate actual ground height based on received data. The apparatus uses a reference value and difference calculations to accurately determine ground height for each object. Additionally, the apparatus can generate ground trend lines, match X and Y axis values to Z axis values, and store information on object types for improved recognition and height determination.
Furthermore, the patent details how the object recognition apparatus can be integrated into a vehicle, along with a camera and controller for autonomous driving or collision warning systems. The apparatus can generate three-dimensional boxes for objects based on ground height calculations and utilize multiple linear regression models to enhance accuracy. By determining actual ground height through a series of calculations and comparisons, the apparatus can provide valuable data for various applications within the automotive industry, improving object recognition and safety measures.
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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.
