UAV Vision Navigation With Day-Night Infrared Switching
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Solution Overview
Problem
Conventional vision-based navigation systems for unmanned aerial vehicles (UAVs) struggle in low-light or no-light conditions due to infrared data interference, leading to impaired autonomous navigation and potential damage or injury.
Innovation Solution
The UAV is equipped with onboard cameras that collect image data including infrared data, switching between day and night modes based on environmental light conditions, using infrared data for obstacle avoidance in night mode and filtering it out in day mode to enhance navigation accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the UAV uses onboard cameras to collect image data including infrared data for autonomous navigation, then navigation capability in low-light conditions is improved, but navigation accuracy in day mode deteriorates due to infrared data interference
Solution Approach 1:
The system dynamically switches between day mode and night mode based on environmental light conditions. The processing apparatus determines whether the UAV is operating in day mode or night mode and selectively applies different image processing strategies: using infrared data in night mode while filtering it out in day mode, thereby optimizing navigation performance across varying light conditions
Solution Approach 2:
The system changes the processing parameters of image data based on operating conditions. In night mode, the system processes image data including infrared data to detect objects. In day mode, the system filters out infrared data to prevent interference with navigation accuracy. This parameter change resolves the contradiction by adapting the data processing approach to match environmental conditions
2Measurement precision
If the UAV filters out infrared data in day mode to improve navigation accuracy, then measurement precision is improved, but navigation capability in low-light conditions deteriorates
Solution Approach 1:
The system dynamically adjusts its data processing strategy based on detected light conditions. The processing apparatus determines whether the UAV is in day mode or night mode and switches between filtering infrared data (day mode) and utilizing infrared data (night mode), ensuring optimal performance across different operational environments
Solution Approach 2:
The system changes the infrared data processing parameter from 'filter out' in day mode to 'use for detection' in night mode. This parameter change allows the system to maintain high navigation accuracy during the day while ensuring reliable navigation capability in low-light conditions
3Reliability
If the UAV uses infrared data for obstacle avoidance in night mode, then reliability in low-light conditions is improved, but device complexity increases due to mode switching and conditional processing
Solution Approach 1:
The onboard cameras serve multiple functions: they collect both visible light and infrared data simultaneously. The processing apparatus performs multiple functions by determining operating mode and selectively processing image data accordingly - using infrared data for night mode obstacle avoidance while filtering it for day mode navigation, thereby extracting maximum utility from a single sensor system
Solution Approach 2:
The system extracts only the necessary information from image data based on operating conditions. In night mode, it extracts and utilizes infrared data for obstacle detection. In day mode, it filters out infrared data to prevent interference. This selective extraction approach maintains reliability while managing processing complexity
Data Source
AI summary
Autonomous aerial navigation in low-light and no-light conditions includes using night mode obstacle avoidance intelligence and mechanisms for vision-based unmanned aerial vehicle (UAV) navigation to enable autonomous flight operations of a UAV in low-light and no-light environments using infrared data.