Lyft had one patents in robotics during Q2 2024. Lyft Inc’s patent filed in Q2 2024 involves a method for processing sensor data related to objects outside a vehicle. The method includes classifying objects based on sensor data, replacing corrupt or missing data packets, and generating visual representations of the object over a sequence of time frames. GlobalData’s report on Lyft gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Lyft had no grants in robotics as a theme in Q2 2024.
Recent Patents
Application: Identifying objects for display in a situational-awareness view of an autonomous-vehicle environment (Patent ID: US20240125612A1)
The patent filed by Lyft Inc. describes a method for processing sensor data associated with an object external to a vehicle. The method involves receiving a sequence of data packets corresponding to a sequence of time frames, determining the object's classification based on the sensor data, identifying and replacing corrupt or missing data packets with replacements generated from adjacent data packets, and generating visual representations of the object based on the replacement data. The system also includes instructions to display the visual representations with a defined time latency.
Additionally, the patent outlines the use of frame interpolation for generating replacement data packets, the inclusion of visual and location information in the sensor data, and the incorporation of secondary data from independent sources to enhance object classification. The method also involves comparing data points to predetermined patterns for classification, determining confidence scores based on sensor and secondary data, and ensuring the display of visual representations lags behind the sequence of time frames by a specified time latency. The system described in the patent includes processors and storage media to execute the operations outlined in the method for processing sensor data and generating visual representations of external objects.
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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.
