Vehicle Data Messaging for Multi-Type Sensor Fusion Decoding
Find Innovative SolutionsGenerate Solutions
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
Engineering 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
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.
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.
2Adaptability or versatility
If multiple data types are reported using a fixed format, then data diversity increases, but decoding accuracy and success rate decrease
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.
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.
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
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.
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.
Data Source
Figure 1
Figure 2a~2b
Figure 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.