Lyft. has been granted a patent for a method that involves deriving and aligning representations of an agent’s trajectory from two different sensor systems in a vehicle. The process includes spatial and temporal alignment of data to evaluate the accuracy of trajectories collected by a new sensor type against a validated one. GlobalData’s report on Lyft gives a 360-degree view of the company including its patenting strategy. Buy the report here.
Smarter leaders trust GlobalData
According to GlobalData’s company profile on Lyft, Autonomous delivery vehicle navigation system was a key innovation area identified from patents. Lyft's grant share as of June 2024 was 57%. Grant share is based on the ratio of number of grants to total number of patents.
Sensor data alignment for trajectory accuracy evaluation
The granted patent US12045995B2 outlines a computer-implemented method for evaluating the accuracy of trajectories collected by different sensor systems in vehicles. The method involves obtaining sensor data from two distinct sensor systems: one being evaluated for trajectory collection and the other previously validated. The process includes deriving representations of an agent's trajectory from both sensor data sets, which are based on different spatial and temporal reference frames. The method further details steps for aligning these frames through spatial transformations and determining origin-time offsets, allowing for a comprehensive comparison of the two trajectory representations. This comparison serves as a basis for assessing the accuracy of the new sensor system against the validated one.
Additionally, the patent describes the use of error metrics to quantify the differences between the aligned trajectory representations. It also includes provisions for deriving datasets that characterize specific scenario types from both representations, facilitating a more detailed analysis of the sensor systems' performance. The computing system described in the patent is equipped with program instructions that enable these functions, ensuring that the evaluation process is systematic and data-driven. This innovation aims to enhance the reliability of trajectory data collected by emerging sensor technologies in vehicles, contributing to advancements in autonomous driving and related fields.
To know more about GlobalData’s detailed insights on Lyft, buy the report here.
Data Insights
From
The gold standard of business intelligence.
Blending expert knowledge with cutting-edge technology, GlobalData’s unrivalled proprietary data will enable you to decode what’s happening in your market. You can make better informed decisions and gain a future-proof advantage over your competitors.
GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.
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.
