Toyota Motor had 87 patents in internet of things during Q1 2024. Toyota Motor Corp’s patents filed in Q1 2024 focus on innovative methods and systems for multi-view dataset formation from fleet data, remote vehicular micro clouds formation, work status monitoring system, and a vehicle guidance system. These technologies aim to improve data collection, resource sharing, event monitoring, and vehicle guidance for enhanced efficiency and safety. GlobalData’s report on Toyota Motor gives a 360-degree view of the company including its patenting strategy. Buy the report here.
Smarter leaders trust GlobalData
Toyota Motor grant share with internet of things as a theme is 57% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: System and method for building multi-view machine learning datasets from fleet data (Patent ID: US20240104905A1)
The patent filed by Toyota Motor Corp. describes a method for forming a multi-view dataset from fleet data by detecting pairs of vehicles with overlapping viewing frustums, capturing synchronized sensor data, and registering it in a shared coordinate system. The method involves triggering data capture based on frustum overlap or scene characteristics, utilizing V2V communication, and estimating noisy ground truth for tasks of interest. Additionally, the patent includes a computer-readable medium with program code for dataset formation and a system with modules for vehicle detection, sensor data triggering, synchronization, and dataset formation, along with a planner module for vehicle control actions based on the dataset.
Overall, the patent outlines a comprehensive method, computer-readable medium, and system for creating multi-view datasets from fleet data. By detecting vehicle pairs with overlapping views, capturing synchronized sensor data, and registering it in a shared coordinate system, the method enables the formation of accurate datasets for various applications. The inclusion of features like triggering data capture based on frustum overlap or scene characteristics, utilizing V2V communication, and estimating noisy ground truth enhances the dataset quality and usability. The computer-readable medium and system described in the patent provide practical implementations of the method, allowing for efficient dataset formation and utilization in tasks such as vehicle control actions based on the surrounding scene.
To know more about GlobalData’s detailed insights on Toyota Motor, buy the report here.
Premium Insights
From
The gold standard of business intelligence.
Blending expert knowledge with cutting-edge technology, GlobalData’s unrivalled proprietary data will enable you to decode what’s happening in your market. You can make better informed decisions and gain a future-proof advantage over your competitors.
GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.
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.
