Bayerische Motoren Werke had 134 patents in future of work during Q1 2024. BMW AG filed patents related to classifying road surfaces for driver warning or automated driving functions, producing devices by comparing nominal and actual values, refueling methods based on vehicle devices, assisting drivers on racetracks by determining remaining driving time, and controlling vehicle functions with main and secondary control units for safety. GlobalData’s report on Bayerische Motoren Werke gives a 360-degree view of the company including its patenting strategy. Buy the report here.

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Bayerische Motoren Werke grant share with future of work as a theme is 35% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Method of classifying a road surface object, method of training an artificial neural network, and method of operating a driver warning function or an automated driving function (Patent ID: US20240104940A1)

The patent filed by Bayerische Motoren Werke AG describes a computer-implemented method for classifying road surface objects based on data points that characterize horizontal and vertical motions of a vehicle driving over the surface. These data points are classified using an artificial neural network to determine the relevance of the road surface object for driver warning or automated driving functions. The method involves providing data points in the form of an image data file, depicting them as a scatter plot, with variables such as vehicle speed and vertical displacement being key factors in the classification process.

Furthermore, the patent details a method for training an artificial neural network to classify road surface objects by providing data points, ground truth data on relevance, clustering the data points, and generating image data files for training. The training process involves utilizing a pretrained convolutional neural network, adding a layer for training with scatter plot image data, and matching the ground truth information to train the network effectively. The patent also includes claims for computing devices, computer programs, and computer-readable storage mediums configured to execute the described methods, emphasizing the practical application of the classification system in vehicles for driver assistance and automation.

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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.