Vehicle Data Messaging for Multi-Type Sensor Fusion Decoding

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Solution Overview

Problem

Existing data collection systems for high definition maps in autonomous vehicles face challenges in efficiently reporting data of multiple types and formats, leading to reduced reliability and success rates in data fusion due to limited data volume and type compatibility.

Innovation Solution

A data transmission method that includes first, second, and third indication information in data messages to indicate data type, format, and sensor type, enabling improved data reporting and decoding success rates by the cloud server.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If data collection devices report data in a fixed format with only one data type (object level data), then the reporting process is simple, but the data volume received by the cloud server is reduced and reliability of data fusion is compromised

Engineering Contradiction:
Improvereliability of data fusionVSAvoiddata reporting format complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent applies dynamics by making the data reporting format flexible rather than fixed. The system dynamically adapts the message format based on the data type being reported, supporting both object level data and map element data with different structures. This resolves the contradiction by allowing the reporting mechanism to change its configuration according to the specific data type, thereby increasing data volume and fusion reliability without requiring a completely complex new system.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The patent changes the parameters of the data reporting system by introducing multiple data types (object level data, map element data) and corresponding different message formats. Instead of keeping a single fixed format, the system allows parameter changes in the message structure based on the data type, enabling richer data transmission while maintaining clear differentiation through type indicators.

Inventive Principle:
Principle #35Parameter changes

2Adaptability or versatility

If multiple data types are reported using a fixed format, then data diversity increases, but decoding accuracy and success rate decrease

Engineering Contradiction:
Improvedata type diversityVSAvoiddecoding accuracy
Core Design Contradiction:
Adaptability or versatilityVSMeasurement precision

Solution Approach 1:

The patent applies segmentation by dividing the data reporting system into distinct segments for different data types. Each data type (object level data, map element data) has its own dedicated message format with specific structures and indicators. This segmentation allows the cloud server to accurately identify and decode each data type using the appropriate format, maintaining high decoding accuracy while supporting diverse data types.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent introduces an intermediary mechanism through the use of specific indication information (first indication information for data type, second indication information for format) that mediates between the diverse data types and the decoding process. These indication fields act as intermediaries that guide the cloud server to the correct decoding approach, ensuring accurate interpretation of various data types without confusion.

Inventive Principle:
Principle #24Intermediary (Mediator)

3Adaptability or versatility

If the cloud server receives data in multiple formats without format indication, then data collection flexibility increases, but data processing reliability decreases

Engineering Contradiction:
Improvedata collection flexibilityVSAvoiddata processing reliability
Core Design Contradiction:
Adaptability or versatilityVSReliability

Solution Approach 1:

The patent applies preliminary action by including format indication information (second indication information) in the message before the actual data transmission. This preliminary indication tells the cloud server in advance what format the incoming data will be in, allowing the server to prepare the appropriate processing approach. This resolves the contradiction by providing upfront information that maintains processing reliability while still accepting flexible multi-format data.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent implements feedback through the inclusion of indication information that provides the cloud server with information about the data type and format. This feedback mechanism allows the server to verify and correctly interpret the incoming data, ensuring reliable processing. The indication fields act as feedback that confirms the data characteristics, enabling the server to adapt its processing accordingly.

Inventive Principle:
Principle #23Feedback

Data Source

PatentEP4254906B1Data transmission method and apparatus for internet of vehicles, storage medium, and system
Publication Date: 2026.01.07 YINWANG INTELLIGENT TECHNOLOGIES CO LTD
  • EP4254906B1 patent drawingFigure 1
  • EP4254906B1 patent drawingFigure 2a~2b
  • EP4254906B1 patent drawingFigure 3a

AI summary

A data transmission method and apparatus for an internet of vehicles, a storage medium, and a system are provided, to implement data transmission between a terminal device and a cloud server in the internet of vehicles. In this application, the terminal device obtains first data based on data collected by at least one sensor on at least one vehicle, generates a first message based on the first data, and sends the first message. The first message includes first indication information. Because the first indication information indicates a data type of the first data, when the first message includes the first indication information, the terminal device may be supported in reporting data of a plurality of data types. In this way, the cloud server may receive data of more data types, so that reliability of data fusion can be improved. In addition, based on the first indication information, the cloud server may decode the first message by using an algorithm corresponding to the data type of the first data, so that a decoding success rate can be increased.