Pony.ai‘s patent involves a computing system that uses sensor data to generate maps for vehicles. The system determines sensor positions and orientations using SLAM algorithms and displays graphical illustrations on an interface. It also includes loop closure constraints for trajectory points. 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 February 2024 was 57%. Grant share is based on the ratio of number of grants to total number of patents.
Generating graphical illustrations of point cloud frames for slam algorithms
A recently granted patent (Publication Number: US11908198B2) discloses a computing system designed to enhance the mapping capabilities of vehicles through the use of sensor data and simultaneous localization and mapping (SLAM) algorithms. The system includes processors and memory storing instructions that enable the system to obtain sensor data, determine the position and orientation of the sensor, and generate a graphical illustration of the captured point cloud frames. This illustration includes trajectory points and connectors representing loop closure constraints, allowing for a detailed visualization of the mapping process. Users can interact with the system by selecting loop closure constraints, trajectory points, or constraints, triggering the display of relevant data and resulting point cloud frames.
Furthermore, the patent describes a computer-implemented method that mirrors the functionalities of the computing system, emphasizing the importance of trajectory points, time relationships, and constraints in the mapping process. Users can manipulate constraints, delete them, and observe the impact on the generated map, providing a dynamic and interactive mapping experience. The method also highlights the fusion of GNSS data and IMU data in generating accurate maps. Overall, the patent showcases a sophisticated system and method for mapping vehicles using sensor data and SLAM algorithms, offering a comprehensive and user-friendly approach to mapping technology.
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