LiDAR Sensor Parameter Optimization for Detection Distance and Energy Efficiency
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Solution Overview
Problem
LiDAR sensors face challenges in accurately detecting objects at maximum detection distances due to low signal intensity, leading to decreased energy efficiency and signal-to-noise ratio when the output level of the laser diode is set too high.
Innovation Solution
A LiDAR sensor with a parameter optimization function that adjusts the output intensity of the laser light and reception intensity based on the maximum laser light reflection signal, using a parameter setting unit to optimize parameters such as bias voltage and amplifier gain, thereby improving detection efficiency and signal quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Length of stationary object
If the output level of the laser diode is increased to detect objects at maximum detection distance, then the detection distance is improved, but energy efficiency deteriorates and signal to noise ratio decreases
Solution Approach 1:
The patent implements dynamic parameter adjustment by continuously monitoring signal intensity and automatically modifying laser diode output levels and photo diode bias voltages in real-time, transforming the static detection system into a dynamic adaptive system that optimizes performance based on actual detection conditions
Solution Approach 2:
The system changes operating parameters (laser output level, photo diode bias voltage, amplifier gain) based on detected signal characteristics, specifically adjusting these parameters to maintain optimal detection while minimizing energy consumption and maximizing signal-to-noise ratio
2Length of stationary object
If the output level of the laser diode is increased to detect objects at maximum detection distance, then the detection distance is improved, but the signal to noise ratio is decreased
Solution Approach 1:
The system employs feedback mechanisms where the parameter setting unit continuously monitors signal intensity from the photo diode and automatically adjusts laser output and photo diode bias voltage accordingly, creating a closed-loop control system that maintains optimal signal-to-noise ratio
Solution Approach 2:
The system optimizes signal-to-noise ratio by dynamically adjusting operating parameters including laser diode output level, photo diode bias voltage, and amplifier gain based on the detected maximum signal intensity, ensuring reliable detection at maximum distance
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 optimization of parameters in the LiDAR sensor enhances the detection of objects at maximum distances, minimizes noise levels, and improves the signal-to-noise ratio, increasing the lifespan and durability of the sensor.
Implementation Method 1
A LiDAR sensor uses a Laser Diode (LD) and a Photodiode (PD) Array for detecting a distance to a target object. The LD emits laser light toward a target object.
Implementation Method 2
The PD receives laser light hitting and reflected from the target object, and converts the laser light into a current and converts the laser light into a signal.
Data Source
AI summary
A LiDAR sensor having a parameter optimization function may include: a laser diode configured to emit a laser light signal; a photo diode configured to receive a maximum laser light reflection signal reflected from a target object at a scannable maximum distance in the laser light signal; and a parameter setting unit configured to set a parameter related to an output intensity of the laser light signal or a reception intensity of the laser light signal based on the maximum laser light reflection signal.