LiDAR Echo Convergence for Non-Coaxial Target Distance Detection

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Solution Overview

Problem

Existing LiDAR systems face issues with echo signal reception due to non-coaxial transceiving relationships, leading to ineffective detection of target objects as the receiving unit cannot accurately receive echo data when the target object's position changes.

Innovation Solution

A radar data processing method that involves determining a target receiving unit group covering mapping offsets, obtaining echo data from these units, converging the data to ensure complete reception, and calculating the target object's distance based on convergence results.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Device complexity

If a single receiving unit is used in non-coaxial LiDAR configuration, then the device complexity is reduced, but the detection reliability deteriorates because the receiving unit cannot effectively receive echo signals when target object position changes

Engineering Contradiction:
Improvereceiving unit configurationVSAvoidecho signal reception
Core Design Contradiction:
Device complexityVSReliability

Solution Approach 1:

The receiving unit is divided into multiple receiving units arranged in an array. Each receiving unit can independently receive echo signals, and the system segments the reception function across multiple units to handle target position changes, thereby improving detection reliability without significantly increasing overall system complexity

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

Multiple receiving units work together to perform the same detection function across different spatial positions. The receiving unit group can detect target objects at various positions, making the system universally applicable to different target locations while maintaining a relatively simple device structure

Inventive Principle:
Principle #6Universality (Multi-functionality)

2Reliability

If multiple receiving units are used to cover mapping offsets, then the detection reliability is improved, but the device complexity increases due to the need to manage and converge data from N receiving units

Engineering Contradiction:
Improvetarget object detectionVSAvoiddata processing system
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

Echo data from multiple receiving units are merged and converged into a unified data set. The system combines the detection results from N receiving units to form a complete target detection result, improving reliability while managing complexity through data integration rather than separate processing for each unit

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The system automatically converges echo data from multiple receiving units based on their spatial relationships and mapping offsets. The data processing performs self-alignment and integration without requiring complex external control, reducing the burden on the data processing system while maintaining high detection reliability

Inventive Principle:
Principle #25Self-service

3Device complexity

If the receiving unit position is fixed relative to the emission unit, then the device complexity is reduced, but the measurement precision deteriorates because the receiving unit cannot track moving target objects

Engineering Contradiction:
Improvetransceiving unit arrangementVSAvoidtarget object position detection
Core Design Contradiction:
Device complexityVSMeasurement precision

Solution Approach 1:

The receiving function is segmented across multiple fixed receiving units positioned at different locations. This segmentation allows the system to detect targets at various positions without moving any individual receiving unit, maintaining simple device arrangement while achieving precise tracking of moving targets through the collective capability of the receiving unit group

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system transitions from a single-point reception model to a spatial array model, adding dimensional coverage. By arranging receiving units in a spatial configuration, the system achieves precise measurement of moving targets through spatial diversity rather than temporal movement, maintaining fixed positions while improving measurement precision

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

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

Ensures accurate detection of target objects by effectively receiving echo signals through data convergence, addressing the limitations of existing LiDAR systems in non-coaxial configurations.

Implementation Method 1

a laser emitted by an emitter or emission laser in the emission unit is received by a receiving block in a receiving area array of the receiving unit

Methodology Applied
Scientific EffectLight reflection: Reflection

Implementation Method 2

after the detection laser reaches the target object, the target object reflects the detection laser to form an echo laser, and the receiving unit can receive the echo laser

Methodology Applied
Scientific EffectOptical transmission: Light

Data Source

PatentUS12504537B2Radar data processing method, terminal device, and computer-readable storage medium
Publication Date: 2025.12.23 SUTENG INNOVATION TECHNOLOGY CO LTD
  • US12504537B2 patent drawing
  • US12504537B2 patent drawing
  • US12504537B2 patent drawing

AI summary

A radar data processing method, a terminal device, and a computer-readable storage medium are provided. The method includes: obtaining a target receiving unit group corresponding to an emission unit; obtaining echo data received by the target receiving unit group; converging the echo data to obtain a convergence result; and determining a distance of a target object based on the convergence result.