LiDAR Transmitter Receiver Dynamic 3D Model Update

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Solution Overview

Problem

Current LiDAR systems face challenges in dynamically updating three-dimensional models based on real-time light signal data and user interactions, limiting their accuracy and user engagement.

Innovation Solution

The apparatus incorporates a LiDAR transmitter and receiver for generating and decoding light signals, enabling the creation and updating of three-dimensional models by associating digital information with objects based on direction and range analysis, and allowing user-controlled selection and adaptation of model elements.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If LiDAR systems use traditional static three-dimensional model generation, then the model creation process is simple, but the model accuracy and real-time representation capability deteriorate

Engineering Contradiction:
Improvemodel accuracyVSAvoidsystem complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent implements dynamic updating of three-dimensional models by continuously receiving new light signals and automatically regenerating model data in real-time, transforming the static model generation process into a dynamic one that adapts to changing environments and improves measurement precision

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system employs feedback mechanisms where decoded information from received light signals is used to automatically determine whether model updates are needed and to guide the regeneration process, creating a closed-loop system that enhances accuracy without requiring complex manual intervention

Inventive Principle:
Principle #23Feedback

2Adaptability or versatility

If LiDAR systems enable real-time model updates based on decoded information, then the interactivity and user engagement improve, but the processing complexity and time consumption increase

Engineering Contradiction:
Improveuser interaction capabilityVSAvoidprocessing time
Core Design Contradiction:
Adaptability or versatilityVSLoss of time

Solution Approach 1:

The patent performs preliminary actions by pre-processing and decoding light signals as they are received, preparing data in advance for potential model updates. This reduces the processing time required when updates are triggered by user interactions, as the data preparation work has already been completed

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system implements selective model updating based on decoded information, performing updates only when necessary rather than continuously. This partial action approach maintains interactivity and adaptability while reducing overall processing time and resource consumption

Inventive Principle:
Principle #16Partial or excessive action

3Loss of information

If LiDAR systems decode multiple light signals with different directions of arrival, then the information richness and model detail improve, but the decoding complexity and computational load increase

Engineering Contradiction:
Improveinformation completenessVSAvoiddecoding complexity
Core Design Contradiction:
Loss of informationVSDevice complexity

Solution Approach 1:

The patent segments the decoding process by classifying decoded information into different groups based on direction of arrival. This segmentation allows the system to handle multiple light signals systematically, organizing information by spatial origin and reducing the complexity of processing diverse data streams

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The decoding means is designed with multi-functionality to handle various types of light signals from different directions using a unified decoding framework. This universal approach enables the system to process diverse information sources without requiring separate decoding mechanisms for each signal type

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

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 solution enhances the accuracy and interactivity of three-dimensional models by enabling real-time updates and user-driven modifications, improving the representation of objects and environments within the LiDAR system.

Implementation Method 1

LIDAR (Light Detection and Ranging) is a method for determining ranges by targeting an object or a surface with a laser transmitter and measuring the time for the reflected light to return to the receiver

Methodology Applied
Scientific EffectLight reflection: Reflection

Implementation Method 2

The second light signal may be modulated with the digital information

Methodology Applied
Scientific EffectLight modulation: Phase Modulation

Data Source

PatentUS20250005865A1Apparatus and system
Publication Date: 2025.01.02 NOKIA TECHNOLOGIES OY
  • US20250005865A1 patent drawing
  • US20250005865A1 patent drawing
  • US20250005865A1 patent drawing

AI summary

An apparatus comprising: a Light Detection and Ranging, LiDAR, transmitter for transmitting at least one first light signal; a LIDAR receiving means for receiving the at least one first light signal; a light receiving means for receiving at least one second light signal; decoding means for decoding the second light signal to obtain digital information encoded on the second light signal; and detection and ranging means for performing a detection and ranging operation based on receiving the at least one first light signal.