Argo AI has patented a method and system for controlling vehicle navigation to avoid collisions with uncertain road users (URUs). By detecting URUs, receiving perception information, and analyzing entry points on drivable area boundaries, the system generates trajectories to ensure safe navigation. GlobalData’s report on Argo AI gives a 360-degree view of the company including its patenting strategy. Buy the report here.

According to GlobalData’s company profile on Argo AI, was a key innovation area identified from patents. Argo AI's grant share as of February 2024 was 62%. Grant share is based on the ratio of number of grants to total number of patents.

Predicting and avoiding collisions with uncertain road users

Source: United States Patent and Trademark Office (USPTO). Credit: Argo AI LLC

A recently granted patent (Publication Number: US11904906B2) outlines a method and system for generating a trajectory of an uncertain road user (URU) in proximity to a drivable area that a vehicle will traverse. The method involves detecting the URU within a threshold distance of the drivable area, receiving perception information related to the URU, and using a variety of features associated with entry points on the drivable area boundary to determine the likelihood of the URU entering the area from each point. These features include factors such as distance, time, and direction, which are computed based on the perception information. The predicted trajectory of the URU is then generated using this data, and the vehicle's navigation is controlled to avoid collisions with the URU based on this trajectory.

Furthermore, the patent includes a system and a computer program product that implement the method described above. The system comprises a processor and memory with programming instructions to detect the URU, receive perception information, determine the likelihood of the URU entering the drivable area from various entry points, generate a predicted trajectory, and control the vehicle's navigation accordingly. The computer program product, on the other hand, contains instructions for an autonomous vehicle to perform the same functions, including identifying entry points on the drivable area boundary based on hypotheses about the URU's trajectory and predicting whether the URU will enter the drivable area. Overall, the patent aims to enhance safety and collision avoidance by accurately predicting and responding to the movements of uncertain road users in the vicinity of a vehicle's path.

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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.