Pony.ai. has been granted a patent for a computing device that processes sensor data. The device utilizes multiple processor cores to encode data segments in parallel, logs their status in a dynamically allocated buffer, and transmits this status upon request from a computing resource. GlobalData’s report on Pony.ai 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 Pony.ai, Autonomous freight management was a key innovation area identified from patents. Pony.ai's grant share as of July 2024 was 57%. Grant share is based on the ratio of number of grants to total number of patents.
Parallel processing of sensor data for efficient encoding
The patent US12075073B2 describes a computing device designed for the initial processing of sensor data. This device features multiple processors that can encode different segments of sensor data in parallel, utilizing markers to denote the beginning and end of each segment. The encoding process can involve data from various sources, such as two cameras or a Joint Photographic Experts Group (JPEG) thumbnail alongside a planar RGB representation. The encoded data is then written to a dynamically allocated buffer, with a logging mechanism that records the status of the written data, including memory addresses, valid bit fields, and segment sizes.
Additionally, the patent outlines several functionalities of the computing device, such as the ability to remove headers from data segments and dynamically allocate buffer space based on the amount and content of the sensor data. The status logging includes details about the data types supported by the device, the size of each data segment, and the spatial sequence of the sensor data, which is represented through valid bit fields that incorporate a write lock feature. The device is also capable of processing data from LiDAR sensors, further enhancing its versatility in handling various sensor inputs.
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