Lidar Storage Method Weighted Time Precision
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Solution Overview
Problem
Lidar systems require large memory spaces to store high-precision timestamp data for long-range detection, leading to increased storage needs and memory consumption due to the picosecond precision of time-to-digital converters (TDCs), especially when improving long-range capabilities.
Innovation Solution
A storage method that uses weighted accumulation to store intensity information with a first time precision that is n times the time resolution of the lidar, where n>1, reducing the storage space required by compressing the original signal while maintaining ranging precision, and assigns additional storage addresses when overflow is imminent.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-precision timestamp data with picosecond precision is stored to maintain ranging precision, then measurement precision is improved, but storage space requirement increases significantly
Solution Approach 1:
The patent segments the high-precision timestamp data into two parts: integer part (time scale) and fractional part (time resolution). The integer part is stored with full precision, while the fractional part is stored with reduced precision. This segmentation allows the system to maintain sufficient ranging precision while significantly reducing the storage space required for the fractional time resolution data.
Solution Approach 2:
The patent changes the precision parameter of the timestamp storage from full picosecond precision to a reduced precision for the fractional part. By storing only the necessary precision level for the fractional time resolution (which is coarser than the TDC's native resolution), the system reduces storage requirements while maintaining the accuracy needed for long-range detection applications.
2Measurement precision
If measurement duration and number of repeated measurements are increased to improve long-range capability, then measurement precision is improved, but storage space requirement increases enormously
Solution Approach 1:
The patent applies segmentation to handle the accumulated histogram data from multiple repeated measurements. By segmenting the time axis into coarse time scales and fine time resolutions, the system can accumulate data from many repeated measurements without requiring proportionally large storage space, thus enabling long-range detection capability with manageable memory requirements.
Solution Approach 2:
The patent uses partial precision storage for the fractional time resolution part. Instead of storing the full precision for every measurement point in the histogram, it stores only the necessary precision level, which is sufficient for long-range detection but reduces the total storage space required when accumulating multiple repeated measurements.
3Measurement precision
If picosecond precision timestamp data is stored completely to maintain time information accuracy, then measurement precision is improved, but device complexity increases due to large memory requirements
Solution Approach 1:
The patent segments the time information storage into two distinct parts: the time scale (integer part) and the time resolution (fractional part). This segmentation allows the system to maintain time information accuracy for the scale while using reduced precision for the resolution part, thereby simplifying the memory system requirements without sacrificing essential measurement accuracy.
Solution Approach 2:
The patent changes the precision parameter of the stored time information from full picosecond precision to a reduced precision for the fractional part. This parameter change simplifies the memory system by reducing the number of bits required per data point, thereby reducing device complexity while maintaining sufficient time information accuracy for the application.
Data Source
AI summary
A storage method for detection data of a lidar, a data processing method for a lidar, a lidar, and a computer-readable storage medium are provided. The storage method includes: S101: receiving a detection data, the detection data including time information and intensity information corresponding to the time information; and S102: storing the intensity information with a first time precision based on a weight of the time information. The first time precision is a time interval between any two adjacent first time scales, and is n times the time resolution of the detection data of the lidar, and n>1. The weight is associated with a time interval between the time information and at least one first time scale. The storage method can maintain a ranging precision while reducing a storage space.