HD Map Update via Road Object Change Detection
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Solution Overview
Problem
Current mobile mapping systems for updating high-definition maps are costly and inefficient, as they require storing or transmitting extensive data from expensive sensors, leading to high labor and network loads, and are unable to quickly update road conditions, potentially compromising the safety of autonomous vehicles.
Innovation Solution
A system and method that utilize change detecting devices equipped with cameras to compare road images with high-definition maps, detecting changes in road facility objects and transmitting only the necessary information to a server for updating, thereby reducing costs and network loads.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional mobile mapping systems are used to update high-definition maps, then map updating capability is provided, but device costs and network loads increase significantly
Solution Approach 1:
The patent extracts only the essential change information (object type, position coordinates, and image data) from the complete sensing data, separating necessary update information from redundant data. This allows map updating without transmitting entire point cloud datasets, significantly reducing network load while maintaining updating capability
Solution Approach 2:
The system segments the map updating process into two phases: initial comprehensive mapping using mobile mapping systems, and subsequent incremental updates using only change detection data. This segmentation allows the system to use expensive equipment only when necessary while reducing ongoing data transmission requirements
2Measurement precision
If mobile mapping systems with expensive sensors are deployed, then high-definition map creation is enabled, but system costs increase
Solution Approach 1:
The patent replaces expensive, durable mobile mapping system equipment with cheaper, temporary probe vehicles equipped with standard sensors. These probe vehicles are used only when changes are detected, eliminating the need for continuous deployment of expensive MMS equipment while maintaining measurement precision through selective high-accuracy verification
Solution Approach 2:
The system substitutes mechanical mobile mapping systems with a combination of inexpensive probe vehicles and server-based processing. The heavy computational and processing workload is transferred from vehicle-mounted systems to centralized servers, reducing on-vehicle hardware requirements and overall system cost
3Loss of information
If complete sensing information is transmitted to servers, then comprehensive analysis is possible, but network loads and communication costs increase
Solution Approach 1:
The system extracts only the essential elements needed for map updating: object type identifiers, position coordinates, and minimal image data. This extraction process eliminates redundant sensing information while preserving all necessary change information, reducing communication energy by transmitting only what is essential for server-side verification and update
Data Source
AI summary
According to an embodiment, a system includes at least one change detecting device that includes a map information storage unit receiving a high-definition map including a property of each road facility object and spatial coordinates of a feature point from a map updating server and storing the received high-definition map, an object coordinates obtaining unit recognizing at least one road facility object from the road image and obtaining a property of the recognized object and spatial coordinates of a feature point. and a changed object detecting unit comparing the property of the recognized object and the spatial coordinates of the feature point with the high-definition map and, if a change object is detected, transmitting object change information including a property and feature point spatial coordinates of the change object to the map updating server.