LIDAR sensor using compound semiconductor materials for vehicle apparatus

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Solution Overview

Problem

Conventional silicon-based CMOS image sensors and single-photonic avalanche diodes have limitations in detectable wavelength range and sensitivity, particularly at longer wavelengths.

Innovation Solution

The use of heteroepitaxy to deposit compound semiconductor materials on silicon substrates for photodetector circuits, enabling improved wavelength range and sensitivity through integration with CMOS technology.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of manufacture

If silicon-based CMOS image sensors and SPADs are used, then manufacturing maturity and abundance are achieved, but detectable wavelength range and sensitivity at longer wavelengths are limited

Engineering Contradiction:
Improvemanufacturing maturityVSAvoiddetectable wavelength range
Core Design Contradiction:
Ease of manufactureVSMeasurement precision

Solution Approach 1:

The patent employs compound semiconductor materials (such as InGaAs, InP) grown on silicon substrates through heteroepitaxy. This composite structure combines the manufacturing advantages of silicon with the superior optoelectronic properties of compound semiconductors, enabling extended wavelength detection while maintaining compatibility with existing CMOS fabrication processes.

Inventive Principle:
Principle #40Composite materials

2Ease of manufacture

If silicon-based sensors are used, then manufacturing cost and availability are improved, but sensitivity at longer wavelengths deteriorates

Engineering Contradiction:
Improvemanufacturing costVSAvoidsensitivity
Core Design Contradiction:
Ease of manufactureVSReliability

Solution Approach 1:

The patent implements a heterogeneous structure where compound semiconductor layers are selectively grown on specific regions of the silicon substrate. This allows the sensor to have different material properties in different regions - silicon providing cost-effective manufacturing and compound semiconductors providing enhanced sensitivity for specific wavelength ranges, particularly in the short-wave infrared region.

Inventive Principle:
Principle #3Local quality

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 allows for high-performance photodetector circuits with enhanced detectable wavelength range and sensitivity, facilitating applications in LIDAR, autonomous vehicles, and various imaging technologies.

Implementation Method 1

an image sensor or detector device configured to detect photons and convert them to electrical signals

Methodology Applied
Scientific EffectPhotoelectric effect: Photoelectric Effect

Implementation Method 2

The use of heteroepitaxy to deposit compound semiconductor materials on silicon substrates for photodetector circuits

Methodology Applied
Scientific EffectHeteroepitaxy: Epitaxy

Data Source

PatentUS12364030B2LIDAR sensor using compound semiconductor materials for vehicle apparatus
Publication Date: 2025.07.15 AELUMA INC
  • US12364030B2 patent drawing
  • US12364030B2 patent drawing
  • US12364030B2 patent drawing

AI summary

Techniques for realizing compound semiconductor (CS) optoelectronic devices on silicon (Si) substrates for vehicle applications are disclosed. The integration platform is based on heteroepitaxy of CS materials and device structures on Si by direct heteroepitaxy on planar Si substrates or by selective area heteroepitaxy on dielectric patterned Si substrates. Following deposition of the CS device structures, device fabrication steps can be carried out using Si complimentary metal-oxide semiconductor (CMOS) fabrication techniques to enable large-volume manufacturing. The integration platform can enable manufacturing of optoelectronic devices including photodetector arrays for image sensors and vertical cavity surface emitting laser arrays. Such devices can be used in various applications including light detection and ranging (LIDAR) systems for vehicle apparatuses such as automobiles, boats, airplanes, and drones, and for other perception applications such as industrial vision, artificial intelligence (AI), augmented reality (AR) and virtual reality (VR).