LiDAR Detection Window Adjustment for Low-Noise Ranging
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Solution Overview
Problem
LiDAR systems face challenges in maintaining high signal-to-noise ratios and reducing power consumption due to the need to constantly process noise optical signals within a predetermined detection window, which affects precision and speed of distance calculation.
Innovation Solution
The ranging method adjusts the detection window based on predicted obstacle positions, allowing detection only within the range where an obstacle is present, thereby reducing unnecessary data processing and power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the photoelectric detector unit and signal processor unit are kept on within a predetermined detection window to receive echo from the maximum detection distance, then the LiDAR can ensure reception of echo from objects at any distance within the detection range, but the system receives and processes a large amount of noise optical signals and ambient optical signals, resulting in low signal-to-noise ratio and high power consumption
Solution Approach 1:
The system performs preliminary detection to identify the actual detection distance before conducting the main detection. Based on this preliminary information, the detection window is dynamically adjusted to only cover the necessary distance range, avoiding the energy consumption of processing signals from unnecessary distant ranges where no objects are present.
Solution Approach 2:
The detection window range is made dynamic rather than fixed. The system adjusts the detection window based on the actual detection distance and object distribution, changing the detection parameters in real-time to match the current environmental conditions, thereby reducing power consumption while maintaining reliable echo reception.
2Reliability
If the detection window covers the predetermined maximum detection distance, then the LiDAR can detect objects at any distance within the range, but the echo signal has low signal-to-noise ratio due to processing of large amounts of noise optical signals
Solution Approach 1:
Instead of uniformly processing signals across the entire detection window, the system applies different processing strategies to different distance ranges. The detection window is segmented and adjusted to focus computational resources on the local region where objects are actually present, improving signal-to-noise ratio by excluding distant regions with only noise signals.
Solution Approach 2:
The system extracts and processes only the relevant portion of the detection window that contains actual objects. By separating the useful signal range from the unnecessary distant range, the system processes only the necessary data, thereby improving signal-to-noise ratio without sacrificing detection coverage of actual objects.
3Reliability
If the detection window is set to the predetermined maximum detection distance, then the LiDAR can ensure complete coverage of the detection range, but the calculation requirements and power consumption increase due to processing of unnecessary data
Solution Approach 1:
The system performs partial detection by adjusting the detection window to cover only the necessary distance range based on actual object distribution. Instead of processing the entire maximum detection range, the system processes only the partial range that contains objects, reducing calculation requirements while maintaining complete coverage of relevant targets.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enhances the signal-to-noise ratio and reduces calculation requirements and power consumption by focusing processing on the specific range where obstacles are detected, improving the accuracy and efficiency of distance calculations.
Implementation Method 1
the detection laser beam undergoes diffuse reflection on an object in the three-dimensional environment, and part of the echo returns to the LiDAR
Implementation Method 2
The photoelectric detector unit receives the echo and converts the echo into an electrical signal
Data Source
AI summary
Methods, devices, and computer-readable storage media for LiDAR ranging are provided. In one aspect, a ranging method for a LiDAR includes: acquiring multiple frames of detection data of a three-dimensional environment; predicting, based on at least part of previous k frames of the detection data, a position where an obstacle is located in the three-dimensional environment during (k+1)th detection, k being an integer and k≥1; when performing the (k+1)th detection, changing, based on predicted position information of the obstacle, a detection window for at least one point on the obstacle; calculating ranging information of the at least one point only based on echo information within a range of the changed detection window.