Trimble. has been granted a patent for a visual indication system on mobile machines. This system detects surrounding objects and their directions, determines the machine’s state, and generates corresponding indicators displayed in specific regions, allowing real-time tracking of objects as they move relative to the machine. GlobalData’s report on Trimble gives a 360-degree view of the company including its patenting strategy. Buy the report here.
According to GlobalData’s company profile on Trimble, GNSS-based positioning was a key innovation area identified from patents. Trimble's grant share as of July 2024 was 74%. Grant share is based on the ratio of number of grants to total number of patents.
Visual indication system for mobile machine object detection

The patent US12065804B2 outlines a method for operating a visual indication system on a mobile machine, such as an autonomous vehicle. The method involves detecting multiple objects surrounding the machine using sensors, which can include LiDAR technology. Each detected object is assigned a direction relative to the mobile machine, and the current state of the machine—such as whether it is actively working, waiting for a job, or requires attention—is determined. Based on this information, object-directed indicators are generated for each object, which are then displayed on a visual indication system that partially surrounds the mobile machine. These indicators are shown in specific displayable regions corresponding to the direction of each object, allowing for concurrent and distinct visual representations of different objects.
Additionally, the method includes the capability to track the movement of the detected objects in real-time, ensuring that the indicators follow the objects as they move relative to the mobile machine. The system can classify objects into various types, such as person or non-person objects, and can provide safety and state indicators based on the machine's current operational status. The patent emphasizes the importance of real-time data processing and visual feedback to enhance the safety and operational efficiency of mobile machines in dynamic environments.
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