UAV Landing Site Selection Under Peripheral Downwash Effects
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Unmanned aerial vehicles (UAVs) face difficulties in landing due to the influence of downwardly-blowing wind hitting and bouncing off features in the peripheral area, making it challenging to control the landing process even on horizontal surfaces.
Innovation Solution
An information processing device and method that detects features in the peripheral area, estimates the degree of influence of downwardly-blowing wind on landing, and determines suitable landing places based on this analysis, considering attributes and three-dimensional sizes of features to select a landing site less affected by wind.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the landing place is selected based only on horizontal surface criteria, then the landing place appears suitable, but the downwardly-blowing wind from the propeller hits and bounces off peripheral features causing difficult landing control
Solution Approach 1:
The system performs preliminary detection of peripheral features and estimation of ground effect influence before finalizing the landing place selection. By analyzing the three-dimensional information of features in the peripheral area and calculating the magnitude of downwardly-blowing wind influence in advance, the system can identify and exclude landing places that would be adversely affected, ensuring easier landing control from the outset.
2Measurement precision
If the detection range is expanded to include peripheral features, then the accuracy of landing suitability determination is improved, but the computational complexity and time required increase
Solution Approach 1:
The system focuses detection and estimation efforts on the peripheral area surrounding each landing candidate place rather than uniformly analyzing the entire landing area. By detecting features specifically in the peripheral region and estimating ground effect influence locally for each candidate, the system achieves high accuracy in determining landing suitability while avoiding unnecessary computational complexity in areas that do not affect landing decisions.
3Reliability
If the peripheral area detection is performed for all landing candidate places, then the reliability of landing selection is improved, but the processing time and computational load increase
Solution Approach 1:
The system performs preliminary detection of peripheral features and estimation of ground effect influence for all landing candidate places during the initial analysis phase. By completing these computationally intensive tasks before the final selection decision, the system ensures reliable landing place selection based on comprehensive data while minimizing the time required for the actual landing execution phase.
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.