Multispectral Thermal Imaging for Low-Contrast Navigation Obstacles
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Solution Overview
Problem
Conventional imaging systems for mobile platforms are either too expensive and bulky or lack sufficient contrast under common environmental conditions, making them unreliable for safe and efficient auto or assisted navigation.
Innovation Solution
Implementing a multispectral imaging system that includes a multispectral imaging module, communication module, orientation and position sensors, and a controller to process multispectral image data, providing enhanced scene evaluation and obstacle detection for navigation systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If conventional imaging systems are used for mobile platforms, then the system structure is simple, but the image contrast is insufficient under common environmental conditions
Solution Approach 1:
The imaging system is segmented into multiple spectral channels (visible, near-infrared, short-wave infrared) with dedicated detectors for each band. This segmentation allows optimal detection in each spectral region, improving overall image contrast and scene differentiation while maintaining manageable system complexity through modular architecture
Solution Approach 2:
The system transitions from single-spectrum imaging to multispectral imaging by adding spectral dimension. This enables differentiation of scene content based on spectral signatures, dramatically improving contrast and detection capability beyond what is possible with conventional visible-light cameras alone
2Reliability
If conventional imaging systems are used for mobile platforms, then the system is compact, but the navigation reliability is insufficient
Solution Approach 1:
The system uses separate detector arrays for different spectral bands (visible, NIR, SWIR) rather than attempting to capture all spectra with a single sensor. This segmentation improves reliability by ensuring optimal performance in each band while keeping individual detector modules compact and manageable
Solution Approach 2:
A beam splitter or dichroic mirror system acts as an intermediary to divide incoming light into different spectral paths that lead to specialized detectors. This intermediary structure enables reliable multispectral detection without requiring each detector to handle the full spectral range, improving overall system reliability
3Reliability
If expensive and bulky conventional imaging systems are used, then the image quality may be sufficient, but the size and power requirements increase
Solution Approach 1:
Multiple spectral detection capabilities are merged into a single integrated imaging module rather than using separate camera systems for each band. This merging reduces overall system weight and size while maintaining the navigation reliability benefits of multispectral imaging
Solution Approach 2:
The imaging system is designed with universal detectors that can capture multiple spectral bands simultaneously, eliminating the need for multiple specialized camera systems. This multi-functionality reduces weight and complexity while providing reliable navigation data across diverse environmental conditions
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The multispectral imaging system improves navigation reliability and flexibility by differentiating scene content, reducing size and power requirements, and increasing the operational range of mobile platforms.
Implementation Method 1
a thermal imaging module configured to provide thermal image data corresponding to a projected course for a mobile platform
Data Source
AI summary
Thermal imaging and navigation systems and related techniques are provided to improve the operation of manned or unmanned mobile platforms, including passenger vehicles. A thermal imaging navigation system includes a thermal imaging system and a logic device configured to communicate with the thermal imaging system. The thermal imaging system includes a thermal imaging module configured to provide thermal image data corresponding to a projected course for a mobile platform. The logic device is configured to receive the thermal image data, receive orientation and/or position data corresponding to the thermal image data, and generate maneuvering obstacle information corresponding to the projected course based, at least in part, on the orientation and/or position data and/or the thermal image data.