Telefonaktiebolaget LM Ericsson had 21 patents in mobile during Q4 2023. The patents filed by Telefonaktiebolaget LM Ericsson in Q4 2023 focus on innovative technologies related to object detection arrangements and multisession remote game schemes in distributed network architectures. The object detection arrangement utilizes a multi-scale convolutional neural network to detect objects and compensate for potential incorrect detections based on distance. The multisession remote game scheme includes a dedicated network slice for gaming, a remote game rendering application service, and a multisession game slice bandwidth manager to allocate bandwidth to gaming sessions. Additionally, there are patents related to managing wireless devices in a network by grouping devices into clusters based on channel correlations and determining beam forming weights to minimize total transmit power. GlobalData’s report on Telefonaktiebolaget LM Ericsson gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Telefonaktiebolaget LM Ericsson grant share with mobile as a theme is 28% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: A computer software module arrangement, a circuitry arrangement, an arrangement and a method for improved object detection by compensating the confidence determination of a detected object (Patent ID: US20230410492A1)
The patent filed by Telefonaktiebolaget LM Ericsson describes an object detection arrangement that uses a multi-scale convolutional neural network to detect objects in images. The controller of the arrangement receives image data, classifies whether the object is at risk of being incorrectly detected based on its distance in the image, and compensates for this risk by adapting object detection parameters. This adaptation can involve lowering a class threshold, increasing a confidence metric for the object, or a combination of both based on the distance of the object from a multiple of a confidence distance.
The method and system described in the patent aim to improve object detection accuracy by dynamically adjusting detection parameters based on the distance of the object in the image. By utilizing a multi-scale convolutional neural network and implementing compensation mechanisms such as lowering class thresholds or increasing confidence metrics, the object detection arrangement can enhance the reliability of detecting objects in various scenarios. The patent also includes provisions for storing parameters in a lookup table, enabling efficient retrieval and adaptation of object detection parameters based on the distance of the object. This technology can be implemented in devices like smartphones, tablet computers, or optical see-through devices to enhance their object detection capabilities.
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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.
