UAV Landing Site Selection via Peripheral Feature Wind Analysis
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Solution Overview
Problem
Unmanned aerial vehicles (UAVs) face challenges in controlling landings due to the ground effect, where downwardly-blowing wind from the propeller hits and bounces off features in the peripheral area of the landing site, making it difficult to stabilize the landing process.
Innovation Solution
An information processing device and method that detect features in the peripheral area of potential landing sites, estimate the influence of downwardly-blowing wind on landing, and determine the suitability of the landing site based on this analysis, allowing for the selection of a suitable landing place that minimizes the impact of wind and features.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the UAV lands on a flat area without pre-prepared landing facilities, then the adaptability of the landing system is improved, but the control stability during landing deteriorates due to ground effect and wind bouncing off peripheral features
Solution Approach 1:
The system performs preliminary detection of features in the peripheral area before landing, and pre-calculates the wind influence degree based on these features. This advance preparation allows the UAV to select a landing site that minimizes ground effect, improving both adaptability and control stability.
Solution Approach 2:
The control device acts as an intermediary between the landing site selection and the actual landing execution. It calculates the wind influence degree as an intermediate parameter, uses this information to determine the optimal landing site, and then guides the UAV to land at this predetermined location, thereby resolving the contradiction between flexibility and stability.
2Reliability
If the UAV considers peripheral features when selecting landing site, then the landing control stability is improved, but the computational complexity and time required for landing site selection increases
Solution Approach 1:
The system focuses computational resources on detecting and analyzing only the peripheral features that significantly influence wind patterns, rather than performing comprehensive analysis of the entire landing area. This localized approach improves landing control stability while keeping the system complexity manageable.
Solution Approach 2:
The system transforms the complex physical problem of wind-flow interaction into a simplified calculation by using the wind influence degree as a key parameter. This parameter encapsulates the combined effect of multiple peripheral features, reducing the computational complexity while maintaining accurate prediction of landing control stability.
3Reliability
If the UAV performs detailed feature detection and wind influence calculation, then the landing control stability is improved, but the time required for landing preparation increases
Solution Approach 1:
The system performs feature detection and wind influence calculation as preliminary actions before the actual landing phase. By completing these computations in advance while the UAV is still approaching, the system ensures landing control stability without significantly delaying the final landing execution.
Solution Approach 2:
The system efficiently processes feature detection and wind calculation by skipping unnecessary intermediate steps and directly computing the wind influence degree from detected features. This streamlined approach reduces landing preparation time while maintaining the accuracy needed for stable landing control.
Data Source
AI summary
The information processing device detects a feature existing in the peripheral area of a landing candidate place of the UAV 1, estimates a degree of influence on a landing due to downwardly-blowing wind generated during the landing of the UAV 1, hitting and bouncing off the feature, which is the degree of influence at the landing candidate place, and determines whether or not the landing candidate place is suitable for landing on the basis of the estimated degree of influence.