Canoo has been granted a patent for a method involving sensor data from an ego vehicle to predict the future path of a target object. By identifying distances and using normalization ratios based on image data, the method controls vehicle operations. GlobalData’s report on Canoo 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 Canoo, Battery pack swapping was a key innovation area identified from patents. Canoo's grant share as of January 2024 was 52%. Grant share is based on the ratio of number of grants to total number of patents.

Predicting future path of target object for ego vehicle

Source: United States Patent and Trademark Office (USPTO). Credit: Canoo Inc

A recently granted patent (Publication Number: US11845439B2) outlines a method and apparatus for predicting the future path of a target object in relation to an ego vehicle. The method involves obtaining sensor data associated with the target object, identifying longitudinal and lateral distances of specific points of the target object, and predicting its future path based on these measurements. The control of the ego vehicle is then adjusted based on the predicted path, which may involve operations such as steering, speed adjustment, or activating warnings. The apparatus associated with the ego vehicle includes processing devices configured to carry out these functions, ensuring enhanced safety and efficiency in vehicle operations.

Furthermore, the patent details the use of normalization ratios based on image data to determine modified lateral distances of the target object from the ego vehicle. By decomposing relative distances and utilizing RADAR measurements, the method aims to reduce errors in predicting the future path of the target object. The apparatus also includes instructions for identifying multiple points on the target object and adjusting the vehicle's operations accordingly. Overall, the patent highlights a sophisticated system that leverages sensor data, image processing, and predictive algorithms to enhance the control and safety measures of an ego vehicle in relation to surrounding objects, ultimately contributing to improved driving experiences and road 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.