Multispectral Imaging for Vehicle Navigation Reliability
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Solution Overview
Problem
Conventional imaging systems for navigation of mobile platforms are often too expensive, bulky, or lack sufficient contrast under common environmental conditions, making them unreliable for safe auto or assisted navigation.
Innovation Solution
A multispectral navigation system that includes a multispectral imaging module, a communication module, an orientation and/or position sensor, a controller, and additional sensors to provide multispectral image data, orientation data, and maneuvering obstacle information for improved navigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional imaging systems are used for navigation, then the system structure is simple, but the contrast under common environmental conditions is insufficient and reliability is poor
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 each channel to be optimized for specific detection tasks, improving overall navigation reliability while managing system complexity through modular architecture
Solution Approach 2:
The multispectral imaging system serves multiple functions simultaneously: it provides day-and-night imaging capability, weather penetration, obstacle detection, and navigation guidance within a single integrated platform, thereby improving reliability without requiring separate specialized systems
2Reliability
If conventional imaging systems are used, then the device size is small, but the system lacks sufficient contrast and is too expensive for reliable navigation
Solution Approach 1:
Multiple detector arrays for different spectral bands are nested within a single imaging module structure, with each detector layer optimized for specific wavelength ranges. This nesting approach consolidates what would otherwise be separate heavy systems into a compact integrated unit, improving reliability while controlling weight
Solution Approach 2:
The system employs composite detector structures that combine multiple semiconductor materials optimized for different spectral responses within a single integrated detector array, achieving enhanced multi-spectral detection capability with reduced overall system weight compared to separate specialized detectors
3Illumination intensity
If conventional imaging systems are used, then the system is compact, but contrast under common environmental conditions is insufficient
Solution Approach 1:
The system transitions from single-spectral-band imaging to multi-spectral-band imaging by adding the spectral dimension to the traditional two-dimensional spatial imaging. This allows differentiation of objects based on their spectral signatures, dramatically improving contrast and detectability without requiring increases in illumination intensity
Solution Approach 2:
Different spectral channels are assigned to detect specific types of objects or environmental conditions (e.g., near-infrared for vegetation detection, short-wave infrared for thermal contrast), allowing each part of the spectral range to be optimized for specific detection tasks, thereby improving overall image contrast and information content
Data Source
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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 system includes a thermal imaging device configured to be mounted on a vehicle. The thermal imaging device is configured to, when mounted on the vehicle, capture a first image of a scene encompassing a portion of the vehicle and capture a second image associated with a reflection of the scene from the portion of the vehicle. The system further includes a logic device configured to communicate with the thermal imaging device and determine a disparity map based on the first image and the second image.