Layered Sensor Data Request Interface for Targeted Map Updates
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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 sensor data request interface to optimize data collection and reduce resource usage, with vehicles transmitting data only in response to active requests.
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, validation requirements, and discovery priorities before actual data collection is required. This allows the campaign management platform to proactively identify which vehicles should collect which data, avoiding reactive bulk data requests that consume excessive bandwidth
Solution Approach 2:
The sensor data requests are segmented into specific geographic areas, road segments, and data types based on validated map data gaps and priority levels. Instead of requesting all possible sensor data from all vehicles, the system divides the request portfolio into targeted segments that address specific map maintenance needs, reducing overall network traffic
2Reliability
If comprehensive sensor data is collected from all vehicles to maintain up-to-date digital maps, then map data currency is improved, but computational resources and processing costs increase
Solution Approach 1:
The system applies different data collection strategies to different geographic areas and map features based on their importance and change frequency. Critical areas with high traffic or frequent changes receive more intensive monitoring, while stable areas use minimal validation, optimizing computational resource allocation across the entire map dataset
Solution Approach 2:
The system collects only the minimum necessary sensor data required to validate or update specific map features rather than comprehensive data from all vehicles. By identifying the exact data gaps in the digital map and requesting only those specific measurements, the system avoids excessive data collection and processing
3Ease of operation
If a layered request interface with multiple status layers is implemented, then request management and resource allocation are improved, but system complexity increases
Solution Approach 1:
The request interface is segmented into distinct operational layers (active requests, newly published requests, revoked requests) that separate different stages of the request lifecycle. This segmentation allows independent management and optimization of each layer without affecting others, making the overall system easier to operate despite the multi-layered structure
Data Source
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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 retreiving, 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.