LiDAR Autofocus Pixels Adaptive Transmission Power Control
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Solution Overview
Problem
Existing LiDAR systems face inefficiencies due to fixed transmission power settings, leading to unnecessary power loss at short distances and inadequate recognition at long distances, which affects the accuracy and power consumption of augmented reality devices.
Innovation Solution
Adaptive determination of transmission power based on the calculated distance to a subject using autofocus pixels in the LiDAR system, allowing for increased power at longer distances and reduced power at shorter distances to optimize recognition and consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If fixed transmission power is used in LiDAR system, then device complexity is reduced, but power efficiency deteriorates due to unnecessary power loss at short distances and inadequate recognition at long distances
Solution Approach 1:
The patent implements dynamic transmission power adjustment by calculating the distance to the subject using autofocus pixels and adaptively determining the transmission power based on this distance. The processor dynamically modifies the transmission power level before driving the light source, ensuring optimal power usage for each specific distance scenario rather than using a fixed power level.
Solution Approach 2:
The patent changes the transmission power parameter based on the calculated distance to the subject. By using autofocus pixels to determine distance and then adjusting the transmission power accordingly, the system optimizes energy efficiency by matching power output to the actual measurement requirements for different distances.
2Ease of operation
If fixed transmission power is used in LiDAR system, then ease of operation is improved, but measurement precision deteriorates at varying distances
Solution Approach 1:
The system dynamically adjusts transmission power based on real-time distance calculations from autofocus pixels. This ensures that the transmission power is always optimized for the current subject distance, maintaining high measurement precision across varying distances while the processor automatically handles the complexity.
Solution Approach 2:
The LiDAR system performs self-optimization by using its own autofocus pixels to calculate distance and automatically adjusting transmission power without external intervention. The processor autonomously determines the appropriate power level based on the measured distance, ensuring consistent measurement precision.
3Reliability
If transmission power is increased for long distance recognition, then subject recognition capability is improved, but power consumption increases
Solution Approach 1:
The patent changes the transmission power parameter dynamically based on the calculated distance to the subject. By using autofocus pixels to determine distance and then adjusting the transmission power accordingly, the system ensures sufficient power for long-distance recognition while avoiding excessive power consumption at shorter distances.
Solution Approach 2:
The system uses feedback from autofocus pixels to continuously monitor distance and adjust transmission power in real-time. This closed-loop control ensures that power consumption is optimized by matching the transmission power to the actual distance requirements, improving recognition capability only when necessary.
4Use of energy by moving object
If transmission power is reduced for short distance measurement, then power consumption is reduced, but recognition capability may be insufficient without adaptive control
Solution Approach 1:
The patent implements parameter changes by adjusting transmission power based on distance measurements from autofocus pixels. For short distances, the system reduces transmission power to minimize consumption while maintaining sufficient recognition capability, and for long distances, it increases power as needed.
Solution Approach 2:
The system dynamically adapts transmission power to match the actual measurement requirements. By using real-time distance information from autofocus pixels, the processor adjusts power levels to ensure reliable subject recognition at any distance while optimizing power consumption for each specific scenario.
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 power efficiency and performance of LiDAR systems by ensuring effective subject recognition across varying distances while minimizing power consumption.
Implementation Method 1
calculate a distance to a subject using the autofocus pixels included in the Rx sensor
Implementation Method 2
calculate a distance to a subject using autofocus pixels included in the Rx sensor before the Tx light source is driven
Implementation Method 3
a Tx light source configured to output a pulse laser
Implementation Method 4
an Rx sensor configured to receive pulse signals reflected by the pulse laser from the subject
Data Source
AI summary
An electronic device includes a light detection and ranging (LiDAR) system including an Rx sensor including autofocus pixels distributed among image pixels for sensing image information. The LiDAR system also includes a Tx light source configured to output a pulse laser. A processor calculates a distance between the LiDAR system and a subject using the autofocus pixels included in the Rx sensor and drives the Tx light source based on the distance. The processor adaptively determines the transmission power of the Tx light source based on the distance to the subject, and controls the Tx light source to output a pulse laser according to the transmission power.