UAV Autonomous Mission Alteration via Sensor Cue Detection
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Solution Overview
Problem
Unmanned aerial vehicles (UAVs) face challenges in efficiently adapting their data gathering operations based on changing environments and mission cues, leading to suboptimal data collection and storage.
Innovation Solution
UAVs are equipped with cameras and sensors that generate images and sensor data, with onboard processors executing travel instructions to adjust flight paths and data generation rates in response to pre-defined image and sensor data characteristics, allowing for adaptive data gathering by altering image generation operations and flight velocities based on detected topology and mission cues.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If the UAV continuously gathers and stores large amounts of data during the entire mission, then the data coverage is comprehensive, but the data storage requirements and transmission bandwidth increase significantly
Solution Approach 1:
The system pre-loads travel instructions and mission cue definitions into onboard memory before the mission begins. This allows the UAV to autonomously process and react to mission cues during flight without requiring continuous real-time analysis or additional data storage for instruction sets.
Solution Approach 2:
The system extracts only the essential mission cues from the complete dataset and processes these selectively. By identifying and focusing on pre-defined mission cues rather than analyzing all collected data, the UAV reduces the effective data volume that requires storage and transmission while maintaining comprehensive monitoring coverage.
2Adaptability or versatility
If the UAV follows a pre-defined flight path strictly, then the mission execution is predictable and controllable, but the UAV cannot adapt to changing environments or interesting targets
Solution Approach 1:
The system continuously monitors the environment for mission cues during flight and uses this feedback to dynamically adjust the flight path. When mission cues are detected, the UAV automatically generates alternative travel instructions to investigate these cues, creating a closed-loop control system that adapts to environmental changes while maintaining overall mission objectives.
Solution Approach 2:
The flight control system transitions from static, pre-programmed paths to dynamic, adaptive routing. The UAV maintains a baseline flight path for predictable control but incorporates real-time modifications when mission cues are detected, allowing the system to balance predictability with environmental adaptability through conditional path adjustment.
3Measurement precision
If the UAV processes and analyzes all collected data in real-time, then the mission response is highly accurate, but the computational load and energy consumption increase
Solution Approach 1:
Mission cues and their corresponding detection criteria are pre-loaded into onboard memory before the mission begins. This preliminary preparation allows the UAV to perform simple pattern matching during flight rather than executing complex real-time analysis, significantly reducing computational energy requirements while maintaining detection accuracy.
Solution Approach 2:
The system extracts and processes only the specific mission cue patterns that are relevant to the current mission objectives, rather than analyzing all collected data in full detail. This selective processing approach reduces computational load and energy consumption while maintaining high detection accuracy for the predefined cues of interest.
4Manufacturing precision
If the UAV collects high-resolution data continuously, then the data quality is high, but the storage requirements and transmission time increase
Solution Approach 1:
The system extracts and processes only the essential mission cues from the continuous data stream, identifying and focusing on the most relevant information. By selectively processing and transmitting only the critical mission-related data rather than all collected high-resolution data, the UAV maintains high data quality for important findings while significantly reducing overall transmission time and storage requirements.
Data Source
AI summary
An unmanned aerial vehicle responds to mission cues during a mission. The mission cues are characteristics of image and/or sensor data. The unmanned aerial vehicle may change data gathering operations or may perform sub-missions within a mission in response to the mission cues.