Meituan has been granted a patent for a trajectory planning method that optimizes the path of an unmanned device by determining constraint boundaries based on the velocities of the device and surrounding obstacles. This ensures a convex solution space for effective trajectory adjustments. GlobalData’s report on Meituan 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 Meituan, was a key innovation area identified from patents. Meituan's grant share as of July 2024 was 42%. Grant share is based on the ratio of number of grants to total number of patents.
Trajectory planning method for unmanned devices and obstacles
The patent US12019447B2 outlines a method for trajectory planning that focuses on the interaction between a target device and designated obstacles. The method begins by determining a preliminary reference trajectory point for the target device and predicting trajectory points for obstacles at a specific moment. For each designated obstacle, a constraint boundary is established based on the velocities of both the target device and the obstacle. This boundary effectively divides the space into two distinct areas, ensuring that the target device and the obstacle do not occupy the same space. The method further involves adjusting the preliminary trajectory of the target device within the constraints set by the identified boundaries, allowing for dynamic navigation in environments with moving obstacles.
Additionally, the method includes steps for selecting designated obstacles based on their proximity to the target device, determining initial constraint sets, and refining the constraint boundaries through a series of calculations involving relative velocities and distance trends. The process also incorporates a "taboo list" mechanism to manage interactions with obstacles, ensuring that the target device can navigate safely by avoiding previously encountered obstacles. The patent emphasizes the importance of continuously updating the trajectory based on future moments, allowing for real-time adjustments to the target device's path as conditions change. This innovative approach enhances the safety and efficiency of trajectory planning in complex environments, particularly for unmanned devices.
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