May Mobility has been granted a patent for a system and method for impact-based operation of autonomous vehicles. The technology involves collecting data from sensors, detecting environmental objects, performing simulations, calculating impact scores, and operating the vehicle accordingly. 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 May 2024 was 24%. Grant share is based on the ratio of number of grants to total number of patents.
Impact-based operation of autonomous vehicles
A recently granted patent (Publication Number: US12012123B2) outlines a method for impact-based operation of an autonomous vehicle. The method involves collecting data from sensors associated with the vehicle, detecting environmental objects, and performing forward simulations to determine the impact score of the vehicle on its surroundings. By comparing metric values from different simulations, the method can assess the potential impact of the vehicle and adjust its operation accordingly. This approach aims to enhance the safety and efficiency of autonomous vehicles by considering the consequences of their actions on the environment.
Furthermore, the patent describes a system for impact-based operation of autonomous vehicles, comprising a data collection subsystem, a computing subsystem, a simulator, and a controller. The system processes data from sensors, conducts forward simulations, and determines the impact of the vehicle on environmental objects. By maneuvering the vehicle based on this impact assessment, the system aims to optimize the vehicle's behavior in various scenarios. This innovative system integrates simulation-based decision-making with real-time data processing to enable autonomous vehicles to operate safely and effectively in dynamic environments, ultimately contributing to the advancement of autonomous driving technology.
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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.
