LiDAR Adaptive Single-Pass Histogramming for Power Reduction
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Solution Overview
Problem
The two-pass, two-window LiDAR system requires excessive power and wastes resources by discarding the lower resolution signal from the first half of laser pulses, resulting in inefficient power usage and reduced accuracy.
Innovation Solution
A single-pass LiDAR method that builds a coarse histogram, detects peaks, and adaptively transitions to a fine histogram mode based on peak thresholds, utilizing all measured signals and reducing power consumption while maintaining high resolution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a two-pass, two-window LiDAR system is used to achieve high resolution, then measurement precision is improved, but power consumption increases and resources are wasted
Solution Approach 1:
The patent segments the histogram building process into coarse and fine modes, allowing the system to dynamically adjust resolution based on detected peak characteristics. This segmentation enables high resolution only when necessary (for strong peaks), while using lower resolution for weak peaks, thereby reducing overall power consumption while maintaining measurement precision when needed.
Solution Approach 2:
The patent implements dynamic switching between coarse and fine histogram modes based on real-time peak detection results. The system transitions from a static two-pass approach to a dynamic single-pass approach where the histogram bin size adapts according to the detected signal strength, optimizing the balance between measurement precision and power consumption.
2Measurement precision
If a two-pass, two-window LiDAR system is used to achieve high resolution, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent merges the coarse and fine measurement passes into a single integrated process. Instead of executing separate two-pass measurements with different histogram configurations, the system combines both resolution levels into one measurement pass with adaptive switching, reducing system complexity while maintaining the ability to achieve high resolution when needed.
Solution Approach 2:
The patent performs preliminary coarse histogram building to identify peak locations and strengths before committing to fine-resolution measurement. This preliminary action allows the system to determine whether high-resolution measurement is necessary, avoiding unnecessary complexity in cases where coarse resolution suffices.
3Measurement precision
If the first half of laser pulses are discarded in the two-pass system, then measurement precision for strong peaks is improved, but loss of information increases
Solution Approach 1:
The patent implements feedback by continuously monitoring the coarse histogram during the measurement process and using this information to dynamically adjust the histogram resolution. Strong peaks trigger fine-resolution measurement, while weak peaks maintain coarse resolution, ensuring that no useful information is lost and measurement precision is optimized based on actual signal conditions.
Solution Approach 2:
The patent changes the histogram bin size parameter dynamically based on detected peak characteristics. Instead of discarding data from the first half of pulses, the system adjusts the resolution parameter in real-time, using fine bins for strong peaks and coarse bins for weak peaks, thereby preserving all useful information while optimizing measurement precision.
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
The single-pass method achieves increased range accuracy with lower power consumption, utilizing all data points and reducing the need for narrower laser pulses with higher peak power, thereby improving efficiency and reducing waste.
Implementation Method 1
light detection and ranging (LiDAR) method and apparatus with a single-pass histogram building scheme
Implementation Method 2
the histogram block to have a total of B bins. Each histogram block may build a histogram having a coarse bin size
Data Source
AI summary
Disclosed is a single pass light detection and ranging (LiDAR) laser method, including building a coarse histogram, detecting a first peak of laser pulses in the coarse histogram, determining whether the first peak height is greater than a first threshold and a location of the first peak is less than or equal to a second threshold, when determining that the first peak height is greater than the first threshold and the location of the first peak is less than or equal to the second threshold, building a fine histogram, and detecting a peak of laser pulses in the fine histogram, and when determining that the first peak height is less than or equal to the first threshold and the location of the first peak is greater than the second threshold, continuing the building of the coarse histogram, and detecting a second peak of the laser pulses in the coarse histogram.