Autonomous Vehicle Map Data Adaptive Streaming
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for downloading high definition maps for autonomous driving vehicles often result in buffering and low-quality data due to large data amounts, and are not suited for autonomous driving applications as they require human intervention.
Innovation Solution
An electronic device mounted on autonomous vehicles that uses adaptive streaming to receive metadata and determine the type of data to download based on vehicle state information and communication bandwidth, allowing for selective data reception via multiple communication methods to ensure high-quality data delivery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If a large amount of data including the high definition map is downloaded using the related art method, then the map definition is improved, but buffering occurs and data quality deteriorates
Solution Approach 1:
The patent segments the high definition map data into multiple types including basic map data, three-dimensional map data, and attribute data. The processor selectively receives only the necessary types of data based on current needs, rather than downloading the entire map dataset. This segmentation allows the system to maintain high map definition while avoiding buffering and quality deterioration by receiving data in manageable, purpose-specific portions.
2Manufacturing precision
If the entire file of map is downloaded and then partially updated, then the map definition is improved, but the complexity of handling updates increases
Solution Approach 1:
The patent extracts and receives only the specific types of map data that are currently needed, rather than downloading and managing entire map files. The processor determines which data types to receive based on current requirements, extracting only the necessary portions from the server. This approach maintains high map definition while significantly reducing the complexity of update handling by eliminating the need to manage large entire-file updates.
3Productivity
If adaptive streaming is used to selectively receive data types, then data delivery efficiency is improved, but the complexity of data management increases
Solution Approach 1:
The patent implements dynamic data type selection where the processor adaptively determines which types of map data to receive based on real-time conditions including vehicle state information and current location. The system dynamically adjusts the mix of basic map data, three-dimensional map data, and attribute data being received from the server. This dynamic approach improves data delivery efficiency by receiving only what is needed when it is needed, while the automated nature of the selection process keeps data management complexity manageable.
4Quantity of substance
If buffer space is secured in advance for large data download, then data delivery completeness is improved, but memory usage increases
Solution Approach 1:
The patent applies partial action by receiving only the specific types of map data that are currently needed rather than downloading the entire map dataset in advance. The processor determines the appropriate portion of data to receive based on current requirements, vehicle state, and location. This approach ensures data delivery completeness for the needed information while avoiding the excessive memory usage that would result from pre-securing buffer space for entire large-scale map downloads.
Data Source
AI summary
An electronic device mountable on an autonomous driving vehicle and a method for controlling the same are provided. The electronic device of the disclosure includes: a communicator including circuitry, a memory, and a processor configured to: control the electronic device to receive metadata for map streaming from a server via the communicator based on at least one communication method, determine at least one type of data to be received from the server among a plurality of types of data included in the metadata based on state information of the vehicle and a bandwidth of the at least one communication method, and control the electronic device to receive and provide the determined at least one type of data from the server via the communicator.