AEye has been granted a patent for an adaptive ladar system that uses a spatial index to store and retrieve prior ladar return data. The system analyzes this data to define a control parameter for the ladar receiver, which is then used to detect ladar returns for new pulse shots. GlobalData’s report on AEye 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 AEye, lidar-guided object detection was a key innovation area identified from patents. AEye's grant share as of September 2023 was 52%. Grant share is based on the ratio of number of grants to total number of patents.
Adaptive ladar system with spatial indexing for prior data
A recently granted patent (Publication Number: US11733387B2) describes an adaptive ladar system that utilizes prior ladar return data to control the operation of a ladar receiver. The system includes a ladar receiver, a memory, and a processor. The ladar receiver receives incident light and detects ladar returns from multiple ladar pulse shots. The memory spatially indexes prior ladar return data based on their locations in a coordinate space. This prior ladar return data is derived from returns detected by the ladar receiver from previous ladar pulse shots. The processor then searches the spatially indexed prior ladar return data to access data stored in the memory for locations within a defined vicinity around a targeted location for a new ladar pulse shot. The processor performs an analysis of the accessed prior ladar return data and defines a control parameter for the ladar receiver based on this analysis. The ladar receiver then detects a ladar return for the new ladar pulse shot using the defined control parameter.
The system also includes a ladar transmitter with scanable mirrors. The processor dynamically schedules multiple ladar pulse shots for the ladar transmitter to target different range points in the coordinate space. The ladar transmitter controllably scans the mirrors to target the desired range points and transmits the ladar pulse shots. The processor performs the dynamic scheduling on a shot-by-shot basis. The spatially indexed prior ladar return data is organized in the memory as a hierarchical tree structure, with leaf nodes associated with different locations in the coordinate space. The processor searches the hierarchical tree structure based on encoded status information in the branch nodes to identify leaf nodes that contain active prior ladar return data within the defined vicinity. The analysis is performed on the active prior ladar return data contained in the identified leaf nodes.
The patent also describes a method for adaptively controlling a ladar receiver. The method involves spatially indexing prior ladar return data, searching the indexed data to access prior ladar return data for locations within a defined vicinity of a targeted location, performing an analysis of the accessed data, defining a control parameter based on the analysis, and using the defined control parameter to detect a ladar return for a new ladar pulse shot. The method can be repeated on a shot-by-shot basis for multiple new ladar pulse shots.
Overall, this patent describes an adaptive ladar system that utilizes prior ladar return data to optimize the performance of a ladar receiver and enable dynamic scheduling of ladar pulse shots. The system's ability to analyze and utilize historical data can improve the accuracy and efficiency of ladar systems in various applications.
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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.
