Drone Landing Surface Assessment Using Temporal Image Change
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Solution Overview
Problem
Existing drone aircraft landing techniques rely solely on image information, leading to inaccurate determination of landing surfaces, which can result in erroneous landing decisions.
Innovation Solution
A mobile object and information processing apparatus that calculate a temporal change of the landing surface from time-series images, considering altitude and environmental factors, to determine whether to land, thereby improving accuracy and preventing damage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If drone aircraft determines landing surface using only image information, then the determination process is simple, but the accuracy of landing determination is low
Solution Approach 1:
The patent applies dynamics by transitioning from static image analysis to dynamic temporal change analysis. The control unit calculates temporal changes of the landing surface by comparing images captured at different time points, allowing the system to detect surface characteristics and environmental factors dynamically, thereby improving determination accuracy without excessive complexity
Solution Approach 2:
The patent implements feedback by using altitude detection results and temporal change calculations to continuously refine landing determination. The control unit receives feedback from the altitude detection unit and adjusts landing decisions based on the calculated temporal changes, creating a closed-loop system that improves accuracy through iterative refinement
2Object-affected harmful factors
If drone aircraft hovers at high altitude, then wind interference from the mobile object is reduced, but the ability to detect temporal changes of the landing surface is weakened
Solution Approach 1:
The patent applies preliminary action by having the control unit calculate temporal changes of the landing surface while the mobile object is still at higher altitude, before descending. This allows the system to establish a baseline understanding of surface characteristics and environmental conditions without the干扰 of propeller-generated wind, enabling more accurate subsequent landing decisions
Data Source
AI summary
Proposed are a mobile object, an information processing apparatus, an information processing method, and a program that are capable of improving the accuracy of determining whether to land a drone aircraft on a landing surface. The mobile object of the present technology includes a control unit. The control unit calculates a temporal change of a landing surface from images in which the landing surface for the mobile object is imaged in time series by an imaging unit of the mobile object in a hovering state, and determines whether to land the mobile object on the landing surface on the basis of the calculated temporal change.