34 patents in this list

Updated: July 01, 2024

Applications ranging from 3D mapping to self-driving cars depend heavily on LiDAR (Light Detection and Ranging) technology. The existence of noise, which can distort the signal, is a significant obstacle to getting precise LiDAR data.

This page examines several methods designed to raise the LiDAR system's Signal-to-Noise Ratio (SNR) and produce more accurate and reliable data.

1. Background Light Reduction Technique for Enhanced LIDAR Signal-to-Noise Ratio

Waymo LLC, 2023

A technique to reduce background light interference in LiDAR. The technique uses an opaque material with a small aperture behind the lens. Light is focused through the aperture onto a waveguide. A mirror reflects the light towards an array of detectors. This selectively filters out background light not aimed through the aperture.

2. Enhanced Light Collection in Coaxial LIDAR Systems Using Polarization Techniques

Beijing Voyager Technology Co., Ltd., 2023

Coaxial LiDAR system for improved light collection efficiency to improve signal-to-noise ratio and range of LiDAR detection. The coaxial LiDAR system uses a non-reciprocal polarization rotator (like a Faraday rotator) to convert the polarization of the outgoing scanning beam so it is orthogonal to the polarization of the reflected return beam. This allows a polarization beam splitter to separate the two beams and direct the return beam to the photodetector.

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3. Enhanced Target Detection in FMCW LiDAR Systems Using Coherent Receiver Technology

Aeva, Inc., 2023

FMCW LiDAR system that uses a coherent receiver in the reference optical path to improve target detection. The coherent receiver includes a 90° optical hybrid that extracts the full complex beat signal. Combining the outputs of the optical hybrid suppresses the negative image of the beat frequency. This improves the linear phase noise estimation of the optical source and boosts the target signal-to-noise ratio.

4. Phase Noise Compensation in LIDAR and Radar Systems Using Delayed Interference Signal Subtraction

QINETIQ LIMITED, 2023

A method and system to compensate for phase noise in LiDAR and radar systems. It involves using an interferometer with two paths: a measurement path and a compensation path. The measurement path goes to the target and back. The compensation path has a delay line to match the round-trip time. The outputs of the two paths are compared to measure the target distance. The key is that the compensation path is delayed by a time longer than the round-trip time. This compensates for phase noise by subtracting the delayed interference signal from the measurement path. The delay is longer than the round-trip time to capture the phase noise. By selecting the appropriate delay length, the system can compensate for phase noise at different target distances.

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5. Active Synchronization Collimator for Enhanced LIDAR System Performance

Analog Devices, Inc., 2023

A LiDAR device that uses a collimator to generate parallel laser beams from non-parallel beams reflected off a rotating scanner. The collimator actively synchronizes and changes its properties as the scanner rotates to properly collimate the non-parallel beams into parallel beams. This allows using a smaller and faster rotating scanner while still achieving high spatial resolution and signal-to-noise ratio when scanning smaller objects. The active synchronization involves changing the refractive index of the collimator using phase change materials and electrodes.

6. Adaptive Filtering Technique for Noise Reduction in LIDAR Systems Using Wavelength Tunable OPAs

SAMSUNG ELECTRONICS CO., LTD., 2023

A LiDAR system that can reduce noise-light interference from sunlight when using a wavelength-tunable optical phased array (OPA) light source. The system uses an active device to adjust the filter to match the OPA's current wavelength, rather than using a fixed band-pass filter. This allows tuning the OPA without increasing noise-light.

7. Selective Detector Activation for Enhanced Signal-to-Noise Ratio in LIDAR Systems

Innovusion, Inc., 2023

Steering a light pulse along an optical path and detecting the scattered light to determine a distance to the object. The system uses an array detector where only a subset of detector segments are activated based on the pulse steering direction. This allows steering consecutive pulses to different locations while binocularly collecting the scattered light using a smaller detector subset. Selecting the detector segments that receive the light scattered from the steering direction, can optimize the detection efficiency and reduce background noise compared to using a full detector array.

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8. Enhancing LiDAR Accuracy with Unipolar Signal Conversion and Correlation Analysis in Noisy Environments

SAMSUNG ELECTRONICS CO., LTD., 2023

LiDAR apparatus and method that accurately detects the flight time of laser pulses for ranging in noisy environments. It converts received signals into unipolar signals and analyzes their correlation with reference signals to identify the exact flight time point. This enables robust ranging even when signals are weak or corrupted by noise. If correlation peaks are not detectable, it increases the reference signal intensity or averages multiple measurements to enhance the signals over the noise.

9. Noise Reduction in FMCW LIDAR Systems Through DC Offset Elimination

Toyota Motor Engineering & Manufacturing North America, Inc., 2023

Frequency Modulated Continuous Wave (FMCW) LiDAR sensor that eliminates noise caused by a DC offset between the reference and return laser signals. The FMCW LiDAR system uses two lasers - one for the ranging signal and one for the local oscillator signal. The local oscillator signal is offset from the ranging signal by a predetermined frequency. This non-zero offset eliminates the DC component when the reference and return signals are mixed, reducing noise caused by self-mixing and other factors.

10. Frequency Comb-Based Lidar System for Enhanced Remote Spectroscopy

OFFICE NATIONAL D'ETUDES ET DE RECHERCHES AEROSPATIALES, 2023

LiDAR system for remote spectroscopy of a target, such as atmospheric gases, using frequency combs. The LiDAR transmits two combs of laser light frequencies towards the target, which reflect. A local comb is mixed with the returns to generate beat signals. The beat signals are processed to find third-beat signals at a specific frequency difference. The third beat signals contain spectroscopic information about the target matter. This allows remote spectroscopy of atmospheric gases, etc.

11. Sunlight Noise Removal Apparatus for Enhanced LIDAR Detection Accuracy

12. Modulation Techniques for Enhanced Signal-to-Noise Ratio in Scanning LIDAR Systems

13. Noise Reduction Technique in LIDAR Systems Using Internal Absorber Reflection Estimation

14. Descan Compensation Technique for Enhanced Signal-to-Noise Ratio in Fast Scanning LiDAR Systems

15. Solid-State Scanning Mechanism for Enhanced LIDAR System Performance

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The innovations on display here demonstrate a variety of methods for dealing with noise in LiDAR systems. Specific noise sources are addressed by solutions like polarization methods and background light reduction. Other approaches such as coherent receiver technology, concentrate on enhancing signal processing.