May Mobility has been granted a patent for a system and method to operate an autonomous agent with incomplete environmental information. The technology involves inserting virtual objects into unknown regions of the environment to enhance the operation of autonomous vehicles. GlobalData’s report on May Mobility 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 May Mobility, AI assisted drone control was a key innovation area identified from patents. May Mobility's grant share as of January 2024 was 45%. Grant share is based on the ratio of number of grants to total number of patents.
Operating autonomous vehicles with incomplete environmental information using virtual objects
A recently granted patent (Publication Number: US11845468B2) outlines a method for operating an autonomous vehicle by determining an environmental representation of its surroundings, identifying unknown regions within this representation, selecting virtual objects based on these unknown regions, inserting these virtual objects into the unknown regions to modify the environmental representation, and finally, operating the autonomous vehicle based on this modified representation. The method involves referencing a library of predetermined virtual objects based on features associated with the unknown regions, such as dimensions and scenarios like crosswalks or bicycle lanes.
Furthermore, the patent describes a system for operating an autonomous vehicle, which includes sensors onboard the vehicle to collect data, and a processing subsystem to determine the environmental representation, identify unknown regions, select virtual objects, insert them into the unknown regions, and operate the vehicle based on the modified representation. The placement of virtual objects is determined based on factors like the vehicle's location and lane lines within the unknown regions, with the goal of minimizing the distance between the virtual objects and the autonomous vehicle. Additionally, historical information associated with known objects in the environment can influence the decision to insert virtual objects into certain unknown regions, enhancing the vehicle's operational efficiency and safety.
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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.
