Abstract: Gateway software is initialized responsive to receipt of a data frame to a first vehicle bus of a plurality of vehicle buses, the data frame configured to be routed to a second vehicle bus of the plurality of vehicle buses. During completion of the initialization of the gateway software, a WUP generator is used to send a WUP along the second vehicle bus. Responsive to the completion of the initialization of the gateway software, the gateway software is used to route the data frame over the second vehicle bus.

Abstract: A method and system for multi-modal prompt learning of vision-language models. Encodings of image-text pairs can be combined with image prompts and text prompts before being input into an image encoder and text encoder of a vision-language model respectively. The image prompt can be generated using the text prompt using a vision-language coupling function to encourage synergy between the two prompts. The combination of encodings and prompts can be fed through the transformer layers of the encoders, and the output of each layer can be combined with a new prompt before entering the next layer, up until a specific depth. The subsequent transformer layers can process the output and generate a final representation for the image and text which can then be used for downstream tasks.

Abstract: An object detection system and method in which a machine learning engine is configured with a region-based knowledge distillation stage that generates region embeddings from a training image having bounding boxes. A linear layer learns a region-level vision-language mapping for projecting feature embeddings from the training image to a common feature space shared by text embeddings to obtain the region embeddings. An image-level supervision stage generates pseudo-box labels for a classification training image and region embeddings from the training image having bounding boxes and corresponding class labels and the classification training image having an image-level label as input. Pseudo-box labels are determined on the classification training image as an image-level vision-language mapping. A weight transfer function conditions the image-level vision-language mapping on the learned region-level vision-language mapping.

Abstract: The invention relate to a set of methods that can be used in portable electronic or wearable motion sensing devices or game controller assemblies, to calculate a plurality of motion parameters. Simplified binary values for motion information is also provided as well as a method to determine the orientation of the device relative to a body part that it is attached to. Embodiments of the invention can be wearable, e.g., worn on the human body, handheld in a game assembly, handheld in a toy or more generally attached to any movable body. The invention also provides a method for observers of a player of a video game or user of a computer application to combine camera data from the observer's smart device with the game play or application screen of the player or user's smart device on the observer's smart device.

Abstract: The invention relate to a set of methods that can be used in portable electronic or wearable motion sensing devices or game controller assemblies, to calculate a plurality of motion parameters. Simplified binary values for motion information is also provided as well as a method to determine the orientation of the device relative to a body part that it is attached to. Embodiments of the invention can be wearable, e.g., worn on the human body, handheld in a game assembly, handheld in a toy or more generally attached to any movable body. The invention also provides a method for observers of a player of a video game or user of a computer application to combine camera data from the observer's smart device with the game play or application screen of the player or user's smart device on the observer's smart device.