Forced-Landing Path Planning Using Terrain Image Recognition
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Solution Overview
Problem
Pilots face challenges in performing forced landings due to limited visibility or cloud occlusion, as they rely on visual recognition without auxiliary equipment, leading to difficulties in making accurate responses in high-pressure, real-time situations.
Innovation Solution
A method and system that utilize image recognition to plan a path for forced landings by obtaining historical satellite images, meteorological data, and sensor information to identify suitable landing areas, considering terrain type, uniformity, and consistency, and generate a path for safe aircraft landing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If pilots perform forced landing based on visual recognition only, then the operation simplicity is maintained, but the reliability of forced landing decreases under poor visibility conditions
Solution Approach 1:
The patent introduces an auxiliary decision-making system that acts as an intermediary between the pilot and the landing environment. This system processes satellite images, contour information, and terrain data to generate landing area recommendations, thereby improving reliability without requiring complex equipment modifications to the aircraft itself.
Solution Approach 2:
The system performs preliminary analysis of satellite images and terrain data before the forced landing occurs. By pre-identifying potential landing areas and their characteristics, the system prepares decision-support information in advance, allowing the pilot to make faster and more reliable decisions during the emergency situation.
2Measurement precision
If pilots rely on visual recognition without auxiliary equipment, then the device complexity is low, but the measurement precision of landing area identification deteriorates under cloud occlusion
Solution Approach 1:
The patent transitions from two-dimensional visual recognition by the pilot to multi-dimensional analysis by combining satellite images, contour data, and terrain information. This multi-dimensional approach enables more accurate identification of landing areas even when visual conditions are poor, as the system can analyze terrain features that are not visible to the human eye under cloud occlusion.
Solution Approach 2:
The patent replaces the human visual recognition system with an automated image recognition system that processes satellite imagery and terrain data. This substitution eliminates the limitations of human vision under poor weather conditions and provides more precise measurement and identification of suitable landing areas.
3Reliability
If comprehensive terrain analysis is performed for forced landing, then the reliability of landing site selection improves, but the loss of time in decision-making increases
Solution Approach 1:
The system performs comprehensive terrain analysis and identifies potential landing areas in advance, before the pilot needs to make a final decision. By pre-processing satellite images and evaluating multiple candidate sites, the system reduces the time required for critical decision-making during the forced landing sequence.
Solution Approach 2:
The auxiliary decision-making system autonomously processes and analyzes terrain data, satellite images, and contour information without requiring continuous pilot intervention. The system independently generates landing area recommendations, allowing the pilot to review and select from pre-evaluated options rather than performing time-consuming analysis under pressure.
Data Source
AI summary
A method, system, and device for planning a path for a forced landing of an aircraft based on image recognition are provided. The method includes: calculating an endurance distance of an aircraft based on sensor data and meteorological information; obtaining an alternative landing area by a satellite image containing contour information and a terrain image recognition model; obtaining a current satellite image of the alternative landing area and determining a landing area; and selecting a landing site by a landing site decision model and generating a path for a forced landing, such that the aircraft completes a forced landing task according to the path for the forced landing. The method, system, and device can automatically recognize image information, select a best landing site, and generate a path for a forced landing to assist a pilot in performing a forced landing task.