Canoo‘s patent involves an apparatus with cameras capturing image frames of traffic lanes in front of a vehicle to predict a target vehicle’s time to cross into the ego lane. The method includes processing image frames, determining predicted crossing time, and controlling the vehicle accordingly. 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 February 2024 was 72%. Grant share is based on the ratio of number of grants to total number of patents.

Predicting lane crossing for target vehicle using image frames

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

A recently granted patent (Publication Number: US11908200B2) outlines a method and apparatus for enhancing road safety by predicting and controlling the movement of a target vehicle crossing into the ego traffic lane from an adjacent lane. The method involves capturing a series of image frames using a camera mounted on the ego vehicle, detecting the target vehicle in the adjacent lane, determining a predicted time for the target vehicle to cross into the ego lane, and controlling the ego vehicle's movement based on this prediction. The apparatus includes the camera for image capture and a target object detection and tracking controller responsible for processing the image frames, predicting the time to line crossing, and controlling the ego vehicle accordingly.

Furthermore, the patent details the components of the ego vehicle, including a motor for driving the wheels, a chassis supporting the axles, a steering mechanism receiving control signals based on the predicted time to line crossing, and a brake actuator for applying brakes based on the prediction. The method and apparatus aim to improve road safety by preemptively adjusting the ego vehicle's movement to avoid potential collisions with vehicles entering the ego lane. By utilizing pixel measurements and ratios extracted from the image frames, the system can accurately predict and respond to the actions of surrounding vehicles, ultimately enhancing overall traffic management and safety on the roads.

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GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.

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.