Solid-State LiDAR Blooming Correction for Accurate Object Sizing
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Solution Overview
Problem
LiDAR systems face challenges in accurately measuring object size due to blooming, where highly reflective objects appear larger than they actually are, leading to potential safety issues in autonomous vehicles by causing unnecessary path adjustments or braking.
Innovation Solution
The implementation of an adaptive LiDAR system that uses collimated transmitter laser beams and pulse averaging/histogramming to improve Signal-to-Noise Ratio, along with a processor-controlled system to identify and mitigate blooming by adjusting operating modes and reducing laser power, thereby correcting image data and time-of-flight measurements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If laser power is increased to improve signal detection, then Signal-to-Noise Ratio is improved, but blooming occurs causing objects to appear larger than they actually are
Solution Approach 1:
The system dynamically adjusts laser power based on detected conditions. When blooming is detected in a region, the laser power is reduced for subsequent measurements in that region, while maintaining higher power in regions without blooming. This dynamic adaptation resolves the contradiction by making the system flexible rather than static in its power levels.
Solution Approach 2:
The system applies different laser power levels to different regions of the field of view. Regions experiencing blooming receive reduced power, while regions without blooming maintain standard or higher power. This local differentiation allows the system to optimize measurement precision in each region without causing blooming in others.
2Object-affected harmful factors
If laser power is reduced to mitigate blooming, then blooming effect is reduced, but Signal-to-Noise Ratio deteriorates
Solution Approach 1:
The system dynamically adjusts laser power based on detected conditions. When blooming is detected in a region, the laser power is reduced for subsequent measurements in that region, while maintaining higher power in regions without blooming. This dynamic adaptation resolves the contradiction by making the system flexible rather than static in its power levels.
Solution Approach 2:
The system applies different laser power levels to different regions of the field of view. Regions experiencing blooming receive reduced power, while regions without blooming maintain standard or higher power. This local differentiation allows the system to optimize measurement precision in each region without causing blooming in others.
3Measurement precision
If adaptive blooming correction is implemented, then object size measurement accuracy is improved, but device complexity increases
Solution Approach 1:
The system uses feedback from detected blooming conditions to adjust laser power and processing. The processor analyzes returned signals for blooming indicators, then feeds this information back to modify subsequent measurements and processing parameters. This feedback loop enables accurate measurement without requiring fundamentally new hardware, thus limiting the increase in complexity.
Solution Approach 2:
The system performs self-correction by automatically detecting blooming conditions and adjusting its own operation. The processor identifies blooming in the data and automatically applies correction algorithms, eliminating the need for external intervention or complex additional hardware components.
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 adaptive LiDAR system effectively reduces the impact of blooming, providing accurate object size information and improving image identification, ensuring safer navigation for autonomous vehicles by distinguishing actual object sizes and reducing the risk of unnecessary actions.
Implementation Method 1
a laser array that produces corresponding collimated laser beams for each detector FOV
Implementation Method 2
a detector array that detects the presence of optical energy
Data Source
AI summary
A method of LIDAR includes configuring a laser array such that each laser generates an optical beam having a FOV and intensity that illuminates a ROI and configuring a detector array such that each detector receives light from a detector FOV in the ROI. The laser array is energized and light is received at the detector array from the illuminated ROI. The received light is processed for select ones of the detectors with standard parameters to determine TOF data for the select ones of detectors to generate an image of an object in the ROI. The TOF data for the select detectors is analyzed to determine if a blooming criterion is met and, if so, the laser is re-energized. Light is then received at the detector array from the illuminated ROI and processed with parameters to determine TOF and intensity data that compensate for the blooming.