Denso had 31 patents in artificial intelligence during Q4 2023. Denso Corp’s Q4 2023 patents focus on innovative technologies for autonomous driving control, microphone systems for sound classification, in-vehicle communication devices for speaker selection based on sound recognition, computer systems for driving behavior analysis, and condition monitoring apparatus for occupant detection in vehicles. These patents showcase Denso‘s commitment to advancing technology in the automotive industry. GlobalData’s report on Denso gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
Denso grant share with artificial intelligence as a theme is 48% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Autonomous driving control device and autonomous driving control method (Patent ID: US20230406357A1)
The patent filed by Denso Corp describes an autonomous driving control device that collects driving data from an autonomous vehicle, compares the driving trajectory with a reference model, determines abnormality levels, and presents image data to an operator for confirmation. The abnormality level indicates the degree of deviation between the driving trajectory under evaluation and the reference trajectory. The device includes units for collection, generation of driving trajectory models, determination of abnormality levels, inference based on image data, and output of report data.
The device uses machine learning and artificial intelligence to infer the presence or absence of abnormalities and their factors based on data sets received from operators. It also includes a detection unit that uses machine learning classification to detect significant abnormalities indicated by the factors. The patent outlines various claims related to the collection of driving data, generation of driving trajectory models, comparison of trajectories, inference based on image data, and detection of abnormalities using machine learning. The device aims to enhance autonomous driving control by accurately identifying abnormalities and providing operators with the necessary information for confirmation and further action.
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