UAV Ground Attribute Sensing for Delivery Placement
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Solution Overview
Problem
Unmanned aerial vehicles (UAVs) face challenges in accurately arranging articles at transport destinations due to unpredictable ground conditions, making it difficult to choose appropriate landing sites, especially in outdoor environments where the ground is not always orderly or suitable for the type of article being transported.
Innovation Solution
A method and system that uses sensing data from UAVs to identify ground attributes, determining optimal arrangement locations based on these attributes, type of article, and priority, ensuring articles are placed in suitable areas for safe and efficient delivery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If articles are transported by unmanned aerial vehicle to outdoor destinations, then delivery speed and efficiency are improved, but ground condition variability makes it difficult to choose appropriate arrangement locations
Solution Approach 1:
The system performs preliminary ground sensing and attribute identification before article delivery, allowing the UAV to pre-determine suitable arrangement locations based on ground attributes. This advance preparation enables the system to adapt to outdoor ground condition variability while maintaining fast delivery speeds.
Solution Approach 2:
The system uses the UAV itself to perform ground sensing and attribute identification, rather than relying on external ground infrastructure or pre-prepared location data. This self-service capability allows the UAV to independently adapt to any outdoor destination's ground conditions.
2Manufacturing precision
If ground sensing is performed to identify attributes and determine optimal arrangement places, then article placement accuracy is improved, but additional time is required for sensing and determination
Solution Approach 1:
The ground sensing and attribute identification are performed as preliminary actions during the UAV's approach to the destination, before the actual delivery. This allows placement accuracy to be ensured without adding significant time to the delivery process, as the sensing occurs concurrently with navigation.
Solution Approach 2:
The system changes the parameter of ground observation from post-arrival inspection to in-flight sensing, allowing attribute identification to occur during the UAV's approach. This parameter change enables simultaneous navigation and ground assessment, reducing time loss.
3Reliability
If multiple ground attributes are analyzed to determine optimal arrangement places for different article types, then delivery appropriateness is improved, but system complexity increases
Solution Approach 1:
The UAV system is designed with multi-functionality, combining ground sensing, attribute identification, and arrangement place determination in a single integrated system. This universal approach allows the same system to handle different article types and ground conditions without requiring separate specialized equipment for each function.
Solution Approach 2:
The system introduces ground attribute information as an intermediary element that mediates between the article characteristics and the arrangement location selection. This intermediary enables automated determination of appropriate placement locations based on the relationship between article type and ground attributes.
Data Source
AI summary
A transport system identifies an attribute of a ground on the basis of sensing data obtained by sensing the ground in a transport destination area, which is performed in flight by an Unmanned Aerial Vehicle transporting an article, and determines a region in the ground as an arrangement place of the article on the basis of the identified attribute.