Innoviz Technologies has been granted a patent for a LIDAR system that utilizes processors to control light sources and analyze reflection signals. The system can detect obstructions on a protective window by comparing received signals with stored internal reflection data, enhancing operational accuracy in various environments. GlobalData’s report on Innoviz Technologies gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Innoviz Technologies, Lidar-guided object detection was a key innovation area identified from patents. Innoviz Technologies's grant share as of June 2024 was 25%. Grant share is based on the ratio of number of grants to total number of patents.
Lidar system for detecting obstructions through a protective window
The granted patent US12019186B2 describes a LIDAR system designed to enhance the detection and management of obstructions on a protective window associated with the system. The core functionality involves a processor that controls a LIDAR light source to emit light pulses and receives reflection signals from sensors. These signals are analyzed over a time period longer than the emitted pulse duration, allowing the system to differentiate between light reflected from the protective window and light from objects in the field of view. By comparing the temporal amplitude profile of the received signals with a known internal reflection signal, the system can identify the presence and type of obstructions, such as dirt or debris, on the protective window.
Additionally, the system incorporates advanced pattern recognition algorithms to detect specific obstruction patterns and match them with stored reference patterns for various substances like mud, snow, or pollen. The processor can initiate remedial actions based on the identified obstruction, such as issuing a window cleaning request or adjusting the light projection parameters to optimize visibility. This capability not only improves the operational efficiency of the LIDAR system but also enhances its reliability in various environmental conditions, ensuring better performance in applications such as autonomous vehicles and advanced sensing technologies.
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