LiDAR Coordinate Transformation Circuit Hardware Substitution
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Solution Overview
Problem
Existing LiDAR systems face challenges in efficiently transforming scanning coordinates into radar coordinates due to high computational demands, leading to increased processing resource occupation and point cloud output latency.
Innovation Solution
A coordinate transformation circuit and method that embeds the coordinate transformation algorithm into hardware modules, reducing the computational burden on the processor and enabling real-time conversion of scanning coordinates to radar coordinates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If coordinate transformation is implemented through software, then the system is flexible and easy to modify, but processing resources are heavily occupied and point cloud output latency increases
Solution Approach 1:
The patent replaces the software-based coordinate transformation system with a hardware-based coordinate transformation circuit. The control module receives triggering signals and coordinate data, then the data processing module performs coordinate transformation through hardware circuits (including operation units for multiplication, addition, subtraction, and memory units), substituting the mechanical/software processing with electronic hardware processing to achieve real-time transformation without affecting point cloud output latency.
2Ease of manufacture
If coordinate transformation is implemented through software, then implementation is simple, but computational power requirements are high
Solution Approach 1:
The patent substitutes software computation with hardware circuit implementation. The coordinate transformation circuit includes control modules and data processing modules with dedicated operation units for mathematical operations (multiplication, addition, subtraction) and memory units for storing transformation parameters. This hardware implementation performs coordinate transformation through parallel circuit operations rather than sequential software computation, dramatically reducing computational power requirements while maintaining implementation feasibility.
3Productivity
If coordinate transformation is performed in real-time through hardware, then processing resource occupation is reduced, but device complexity increases
Solution Approach 1:
The patent segments the coordinate transformation circuit into distinct functional modules: control modules for receiving triggering signals and coordinate data, data processing modules with separate operation units (multiplication unit, addition unit, subtraction unit), and memory units for storing transformation parameters. Each module handles a specific aspect of the coordinate transformation process, allowing for modular design, independent optimization, and reduced overall system complexity through functional decomposition.
Data Source
AI summary
This application provides a coordinate transformation circuit and method, applied in the field of LiDAR technology. The circuit includes at least one coordinate transformation module, where the coordinate transformation module includes a control module and a data processing module. The control module is connected to an optical detection module, and the data processing module is connected to the control module. The optical detection module is used to obtain the scanning coordinates and detection distance of the detection point during operation. The control module is used to receive an operation trigger signal and the scanning coordinates and detection distance of the detection point sent by the optical detection module. The control module sends the scanning coordinates and detection distance to the data processing module and controls the data processing module to determine the radar coordinates of the detection point.