Map Update Campaign Platform for Targeted Vehicle Sensor Collection
Find Innovative SolutionsGenerate Solutions
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 used to coordinate map data validation, discovery, and updates by directing sensor data requests to targeted vehicles, optimizing data collection and transmission to reduce resource consumption.
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 the quality and up-to-date status of map data is improved, but network bandwidth consumption and processing resources increase significantly
Solution Approach 1:
The system pre-generates sensor data requests and distributes them to vehicles before the vehicles reach the target geographic areas. This preliminary action allows vehicles to collect and transmit data efficiently during their normal routing, reducing unnecessary network traffic while ensuring map data is updated with current information.
Solution Approach 2:
The patent introduces an intermediary processing layer that filters, validates, and manages sensor data from multiple vehicles. This intermediary system coordinates data collection campaigns, matches data to specific map update needs, and reduces redundant transmissions, thereby improving map data quality while reducing overall network bandwidth consumption.
2Reliability
If sensor data is collected from a large number of vehicles to ensure comprehensive map coverage, then the completeness of map data is improved, but the complexity of coordinating and processing the data increases
Solution Approach 1:
The system divides the map maintenance task into segmented geographic areas and data collection campaigns. Each campaign targets specific regions or map features, allowing the system to coordinate data collection from vehicles passing through those areas. This segmentation reduces overall coordination complexity by breaking down the large-scale problem into manageable, location-specific tasks.
Solution Approach 2:
Vehicles automatically receive sensor data requests, collect the required data during their normal operation, and transmit it back to the system. This self-service approach eliminates the need for manual data collection coordination, reducing system complexity while ensuring comprehensive coverage as vehicles naturally traverse various geographic areas.
3Reliability
If continuous sensor data transmission is implemented to maintain real-time map accuracy, then the up-to-date status of map data is improved, but the cost and bandwidth requirements increase
Solution Approach 1:
Instead of continuous transmission, the system implements periodic data collection campaigns triggered by specific events such as detected map changes, scheduled update intervals, or vehicle presence in target areas. This periodic approach maintains map data currency by updating information when changes occur or at appropriate intervals, while dramatically reducing overall data transmission volume compared to continuous monitoring.
Solution Approach 2:
The system requests sensor data from vehicles only in specific geographic areas where map updates are needed, rather than continuously from all vehicles. This local quality approach ensures that data transmission occurs only where and when it is necessary to maintain map accuracy, reducing total transmission volume while preserving data currency in critical areas.
Data Source
AI summary
An approach is provided for a campaign management platform to update map data. The approach, for example, involves receiving, by the campaign management platform, a map update request to update the digital map data for a geographic area. The approach also involves generating a sensor data request specifying a sensor data collection event to be performed within the geographic area. The sensor data collection event is part of a campaign to update the digital map for the geographic area. The approach further involves transmitting the sensor data request to a target number of vehicles. The target number of vehicles perform the sensor data collection event in the geographic area to collect sensor data. The approach further involves processing the sensor data to update the digital map data for the geographic area.