Map Data Acquisition via Area Segmentation
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Solution Overview
Problem
The existing map crowdsourcing model is inefficient due to high costs and large bandwidth usage associated with acquiring and transmitting point cloud data from numerous terminals, leading to unnecessary data acquisition and resource wastage.
Innovation Solution
The method involves determining target areas of interest in a map, sending data acquisition instructions to terminals within those areas, and filtering data based on quality and redundancy, allowing for efficient data acquisition and reduction of redundant data transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all terminals acquire and transmit point cloud data to update maps, then map data coverage is improved, but acquisition cost and bandwidth consumption increase significantly
Solution Approach 1:
The map is divided into multiple areas of interest, and only terminals located within these specific areas are selected to acquire and transmit data. This segmentation approach ensures adequate map coverage while significantly reducing the number of terminals that need to participate in data acquisition, thereby lowering overall acquisition costs and bandwidth consumption.
Solution Approach 2:
Different regions of the map are treated differently by defining specific areas of interest. Instead of uniformly requiring all terminals to contribute data, the system focuses data collection efforts on locally relevant areas, optimizing resource allocation and reducing unnecessary data transmission from terminals outside these areas.
2Productivity
If numerous terminals simultaneously acquire and transmit map data, then data update speed is improved, but network bandwidth and system resources are overwhelmed
Solution Approach 1:
The system segments the terminal population based on their location relative to areas of interest. Only terminals within these segmented areas are activated for data acquisition, which maintains adequate data update speed while preventing network bandwidth and system resources from being overwhelmed by excessive simultaneous transmissions.
Solution Approach 2:
Instead of activating all available terminals for data acquisition, the system selectively activates only the necessary subset of terminals located within areas of interest. This partial action approach achieves sufficient data update speed without the resource exhaustion that would result from excessive terminal participation.
Data Source
AI summary
The present disclosure discloses a method, an apparatus, an electronic device and a medium for acquiring map data, and relates to the field of intelligent transportation. A specific implementation solution is: determining a target areas of interest in a map, wherein the map is divided into at least two areas of interest; sending a data acquisition instruction to data acquisition terminals to acquire the map data in the target areas of interest; and receiving the map data fed back from the data acquisition terminal and updating the target areas of interest in the map according to the map data.