Layered Sensor Data Request Interface for Map Update Campaigns
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Solution Overview
Problem
Automobile manufacturers and service providers face challenges in efficiently generating and maintaining high-quality digital map data for autonomous driving, particularly due to the high computational and network resource requirements of crowdsourced sensor data transmission.
Innovation Solution
A campaign management platform is introduced to coordinate map data validation, discovery, and updates by directing sensor data requests to targeted vehicles, utilizing a layered interface that includes active, newly published, and revoked request layers to optimize data collection and reduce resource usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If crowdsourced sensor data is transmitted from consumer vehicles to generate and maintain digital map data, then map data quality and currency are improved, but network bandwidth consumption and processing costs increase significantly
Solution Approach 1:
The system pre-generates sensor data requests based on predicted map data needs, geographic areas, and vehicle routes before actual data collection campaigns. This allows the platform to prepare targeted request sets in advance, ensuring that vehicles receive only relevant data requests aligned with current map maintenance priorities, thereby reducing unnecessary data transmission and processing
Solution Approach 2:
The sensor data requests are divided into discrete, targeted requests organized in layered structures (active, newly published, revoked layers). Each request is segmented by geographic area, map feature type, and campaign priority, allowing the system to transmit only specific, necessary data elements rather than bulk unsolicited sensor streams, thus reducing network bandwidth consumption while maintaining map data quality
2Reliability
If comprehensive sensor data requests are published to all vehicles, then complete map data coverage is achieved, but resource usage for data transmission and processing increases
Solution Approach 1:
The system implements location-aware request distribution where sensor data requests are tailored to specific geographic areas and vehicle locations. Vehicles receive customized request sets based on their current position, route, and the local map data needs in their operating area. This ensures each vehicle contributes to relevant local map segments without processing unnecessary global data requests, improving resource efficiency while maintaining comprehensive map coverage
Solution Approach 2:
The campaign management platform acts as an intermediary between map data requirements and vehicle sensor data collection. It publishes layered request interfaces that filter, prioritize, and route requests to appropriate vehicles based on campaign objectives, geographic relevance, and vehicle capabilities. This intermediary layer ensures complete map data coverage is achieved through coordinated, efficient request distribution rather than blanket broadcasting to all vehicles
Data Source
AI summary
An approach is provided for creating an interface for a campaign management platform to transmit a sensor data request for digital map data. The approach, for example, involves retrieving, by the campaign management platform, the sensor data request specifying a sensor data collection event to be performed on a road segment, a geographic area, or a combination thereof. The approach involves publishing the sensor data request to the interface. The interface comprises a plurality of layers including an active request layer, a newly published request layer, a revoked request layer, or a combination thereof. A plurality of vehicles, a manufacturer platform associated with the plurality of vehicles, or a combination thereof accesses at least one of the plurality of layers to fulfill the sensor data request. The publishing, for example, can be performed according to publishing time cadence or period.