Digital Map Update System Using Event-Triggered Snippets
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Solution Overview
Problem
Existing systems for updating route data in autonomous or semi-autonomous driving vehicles result in inefficient use of communication resources, as vehicles transmit large volumes of data to a backend database, even when the data is already statistically significant and consolidated, leading to no further improvement in data quality.
Innovation Solution
A system that employs bilateral data processing between vehicles and a backend device, where vehicles generate snippets of digital map data and transmit updates only when an event occurs, using a token-based protocol to determine the significance and confidence of the data, ensuring that only verified updates are propagated to the backend database.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If vehicles transmit captured route data to backend database for updating, then the digital map data can be kept relevant and up-to-date, but large data volumes are transmitted consuming communication resources even when data is already statistically significant
Solution Approach 1:
The patent segments the data transmission process by dividing updates into individual events (single objects or groups of objects) rather than transmitting all captured data. Vehicles only transmit data when specific events occur (new objects, modified objects, deleted objects), breaking the continuous data stream into discrete, meaningful units that reduce overall transmission volume while maintaining data quality.
Solution Approach 2:
The system implements periodic action through event-triggered transmission rather than continuous transmission. Vehicles monitor their surroundings and only initiate data transmission when events occur (detected objects, modified objects, or deleted objects), creating a periodic rather than continuous communication pattern that conserves resources while ensuring timely updates.
2Loss of information
If all captured data is transmitted from vehicles to backend, then comprehensive updates are achieved, but communication resources are wasted when backend already has statistically significant data
Solution Approach 1:
The patent extracts only the essential information needed for updates by identifying and transmitting only events (changes in the environment) rather than all captured data. The system extracts new objects, modified objects, and deleted objects from the vehicle's sensor data and transmits only these event-related data packets to the backend, leaving redundant data behind at the vehicle.
Solution Approach 2:
The system creates simplified copies of data for transmission by generating event data packets that contain only the necessary information about changes (object ID, type, position, etc.) rather than transmitting complete sensor datasets. These event copies are sufficient for backend updates without requiring the original full-resolution sensor data.
3Reliability
If vehicles continuously transmit surroundings data, then the backend database remains updated, but communication bandwidth is inefficiently utilized
Solution Approach 1:
The system replaces continuous transmission with periodic, event-triggered transmission. Vehicles continuously monitor their surroundings but only transmit data periodically when events occur (detected objects, modifications, deletions). This maintains data currency at the backend while dramatically improving communication efficiency by eliminating unnecessary transmissions during periods of no change.
Solution Approach 2:
The transmission system dynamically adjusts its behavior based on environmental conditions and event occurrence. Rather than operating in a fixed continuous mode, the system transitions between active transmission (when events occur) and idle states (when no events are detected), making the communication process adaptive and efficient while maintaining data reliability.
Data Source
AI summary
A system for generating and/or updating a digital model of at least one sub-region of a digital map includes on the vehicle-side: a vehicle database with vehicle-side map data which image at least one sub-region of the digital map, one or more sensors for capturing vehicle surroundings data; one or more processors, which are configured to generate at least one snippet from the vehicle surroundings data; and from the snippet to determine updating data of the sub-region of the digital map if an event occurs in the form of a difference between objects in the map data and objects in the snippet; and the system having on the backend side a server database with backend-side map data of the digital model; and one or more processors, which are configured to statistically evaluate the updating data and to perform an update of the backend-side map data depending on the statistical evaluation.