Adaptive Map Data Refinement for Autonomous Driving
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Solution Overview
Problem
The high cost and lack of standardization of map data for automatic driving operations hinder the widespread implementation of automatic driving technology, as existing systems rely on high-priced high-detail map data and fail to adapt to varying specifications of different automobile manufacturers.
Innovation Solution
A system and method that upgrades low- or medium-detail map data to high-detail data by data supplementation, incorporating a reliability evaluation and registration process to ensure adaptability to individual specifications, allowing for cost-effective production of versatile and reliable map data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-detail map data are produced using special surveying systems, then the detail level and accuracy of map data are improved, but the procurement cost increases significantly
Solution Approach 1:
The system performs preliminary actions by collecting map data from multiple vehicles during their normal operations, accumulating data before high-detail map data is needed. This allows the system to build a database of road information progressively, so when high-detail map data is required, it can be generated from accumulated data rather than requiring expensive last-minute surveying operations.
Solution Approach 2:
The system enables ordinary vehicles to contribute to map data creation through their own navigation operations. Each vehicle's navigation device automatically collects and transmits road information, allowing the system to self-generate map data without requiring dedicated surveying equipment or personnel. This transforms the cost burden from specialized surveying operations to the operational byproduct of normal vehicle usage.
2Measurement precision
If high-detail map data are produced using special surveying systems, then the detail level of map data is improved, but the device complexity increases
Solution Approach 1:
The system makes navigation devices universal by enabling them to perform dual functions: their original navigation purpose and map data collection for automatic driving. The same navigation device that provides turn-by-turn directions also captures road geometry, signage, and environmental data needed for high-detail map data, eliminating the need for separate specialized surveying equipment.
Solution Approach 2:
The system creates copies of road information from multiple ordinary vehicles instead of using specialized surveying equipment. Each vehicle's navigation device captures and transmits a copy of the road data it encounters, and these copies are aggregated and processed to generate high-detail map data, replacing the need for complex physical surveying systems.
3Adaptability or versatility
If map data are standardized for all automatic driving systems, then the versatility and adaptability are improved, but the ability to meet specific manufacturer requirements decreases
Solution Approach 1:
The system segments map data into standardized base elements that can be independently configured. The database stores fundamental road information in a standardized format, while allowing individual manufacturers to select and configure specific data elements according to their automatic driving system requirements. This segmentation enables both standardization at the base level and customization at the application level.
Solution Approach 2:
The system implements dynamic adaptability where the map data configuration can be adjusted based on the specific automatic driving system being used. The standardized database structure allows flexible querying and data extraction, enabling the same base data to be dynamically adapted to meet different manufacturer specifications and reliability requirements through software configuration rather than fixed rigid formats.
Data Source
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AI summary
A system of highly detailing map data for correcting a data format and a detail level of the map data adaptively to a specification of a distribution destination 5. The system includes a data supplementing unit 13 for supplementing medium-/low-detail map data 2, 3 to make the map data highly detailed, an authoring unit 12 for editing the map data adapted to the multiple specifications which differ at least in one of the data format and the detail level, and a database 16 for accumulating the edited map data to allow distribution of the map data as versatile data. The system further includes a reliability evaluation unit 7 for communicating with the distribution destination 5 via information, and allowing evaluation of reliability that indicates a degree to which the versatile data distributed from the database 16 are adapted to the specification, and a reliability registration unit 15 for registering the reliability in the database 16 by associating the evaluation of the reliability evaluation unit with the versatile data.