Wistron had 19 patents in artificial intelligence during Q2 2024. The patents filed by Wistron Corp in Q2 2024 include a trajectory correction method for obstacle avoidance, an object detection device for determining suitable entry times into specific spaces, a planning method for network configuration using constrained causal graphs, an apparatus and method for detecting heartbeat without contact, and a method for suggesting equipment maintenance based on energy efficiency and status difference data. GlobalData’s report on Wistron gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Wistron had no grants in artificial intelligence as a theme in Q2 2024.
Recent Patents
Application: Trajectory correction system and method therefor (Patent ID: US20240208493A1)
The patent filed by Wistron Corp. describes a trajectory correction method that involves determining collision zones based on initial and predicted paths of dynamic objects, creating repulsive objects in response to these collision zones, and generating obstacle avoidance paths. The system utilizes a processor and memory to execute the program code for these functions, including forming repulsive objects along the predicted path and modifying potential field maps accordingly. The strength of the repulsive field can vary based on the type of dynamic object, and the modified potential field map can be inputted into a neural network to obtain obstacle avoidance paths.
Additionally, the method involves forming multiple repulsive objects, determining collision zones based on coordinate parameters and distance thresholds, and adjusting the strength of the repulsive field over time. The system can control driving devices of mobile devices to move along the obstacle avoidance paths generated. Overall, the trajectory correction system and method aim to enhance obstacle avoidance capabilities by dynamically adjusting potential field maps and repulsive objects based on the movement of dynamic objects in the environment.
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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.
