Lyft had three patents in future of work during Q2 2024. Lyft Inc filed a patent for a method to classify objects external to a vehicle using sensor data, generating replacement data packets for corrupt or missing data, and creating visual representations of the object. Another patent filed by Lyft Inc is for a service rack system with totes that have full and refill indicators, supply and return racks, and columns of totes in full or refill states. 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 future of work 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, generating visual representations of the object based on the replacement data, and displaying these visual representations with a defined time latency. The system also includes processors and storage media to execute these operations, ensuring accurate and timely visualization of the object.
Additionally, the method involves generating replacement data packets through frame interpolation using adjacent data packets, incorporating visual and location information from the sensor data. The system can also receive secondary data from independent sources to enhance object classification accuracy, determining confidence scores based on sensor and secondary data. By comparing data points to predetermined patterns, the method ensures accurate classification of the object. The patent aims to improve the processing and visualization of sensor data for objects external to vehicles, enhancing safety and efficiency in various applications.
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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.
