Number of vehicles on road is very important traffic data and is essential for transportation safety and management. In this paper, an approach for vehicle detection is presented. In this approach, virtual line based ...
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ISBN:
(纸本)9781509002658
Number of vehicles on road is very important traffic data and is essential for transportation safety and management. In this paper, an approach for vehicle detection is presented. In this approach, virtual line based sensors which are just straight detection lines are first set on road lanes. Then two features, namely gradient and range feature, are proposed for vehicle detection. This is carried out by extracting and analyzing the two features on detection lines. Meanwhile, the solution for vehicle occlusion have also been proposed. Our proposed method has an outstanding advantage that it performs excellent in traffic jams as well as under various conditions, such as sunny, cloudy, and rainy days, or night time, or even tunnels with complex illumination. The high accuracy rate of our method is verified with the experiment results.
The geometric parameters acquisition of splice detector is the most important thing to validate and evaluate the success of splice, but there is no systematic approach to solve it. For the rotation between the two det...
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The geometric parameters acquisition of splice detector is the most important thing to validate and evaluate the success of splice, but there is no systematic approach to solve it. For the rotation between the two detectors, the translation of the vertical slit, the slit width and other geometric parameters, the method based on imaging can give very accurate results. On the other hand, the smart-scope can give us the actual mean width of detector splicing, and the results are similar to the above. It proves that the method based on imaging can complete various geometric parameters tests with a very high precision. It just meets the needs of easy and high precision of the aerospace application, and it can provide powerful technical support for the detector slit splicing.
This paper introduces a prototype grating spectrometer measuring atmospheric column carbon dioxide (CO2) with a 640x512 pixel indium gallium arsenide (InGaAs) focal plane array (FPA). The spectrometer achieves the spe...
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This Paper introduces a 640×512 InGaAs focal plane array (FPA) camera integrated into a grating spectrometer for measuring 1.58μm absorption spectra of CO2. To gain atmospheric CO 2 concentration by detecting sh...
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This paper introduces a prototype grating spectrometer measuring atmospheric column carbon dioxide (CO_2) with a 640×512 pixel indium gallium arsenide (InGaAs) focal plane array (FPA). The spectrometer achieves t...
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ISBN:
(纸本)9781457709098
This paper introduces a prototype grating spectrometer measuring atmospheric column carbon dioxide (CO_2) with a 640×512 pixel indium gallium arsenide (InGaAs) focal plane array (FPA). The spectrometer achieves the spectral resolutions of 0.1 nm at 1.61μm CO_2 band meets the measurement requirement. The structure of the spectrometer including optics and electronics has been described in this paper. The spectrometer features a relatively fast optics, f/1.8, which benefits the sensitivity, and combines a fine slit with a large planar reflective diffraction grating. The performance of the optical design is presented to demonstrate the optical system meets the requirements for spectral resolution and sensitivity. The 640×512 InGaAs FPA with a low noise acquisition system serves to provide low noise spectral signals. The 640×512 InGaAs FPA, 25 μm pixel size, is sensitive to 0.9μm-to-1.7μm short wave infrared (SWIR) band and features a 298 K temperature detectivity, D~*, greater than 5×10~(12) cm~(-1)√Hz/W.
作者：
陈文亮刘蓉崔厚欣徐可欣吕丽娜State Key Laboratory of Precision Measuring Technology and Instruments
Tianjin UniversityTianjin 300072 State Key Laboratory of Precision Measuring Technology and Instruments
Tianjin UniversityTianjin 300072n this paper the propagation characteristics of near-infrared (NIR) light in the palm tissue are analyzed and the principle and feasibility of using transcutaneous diffuse reflectance spectroscopy for non-invasive blood glucose detection are presented. An optical probe suitable for measuring the diffuse reflectance spectrum of human palm and a non-invasive blood glucose detection system using NIR spectroscopy are designed. Based on this system oral glucose tolerance tests are performed to measure the blood glucose concentrations of two young healthy volunteers. The partial least square calibration model is then constructed by all individual experimental data. The final result shows that correlation coefficients of the two experiments between the predicted blood glucose concentrations and the reference blood glucose concentrations are 0.9870 and 0.9854 respectively. The root mean square errors of prediction of full cross validation are 0.54 and 0.52 mmol/1 respectively.
In this paper, the propagation characteristics of near-infrared (NIR) light in the palm tissue are analyzed, and the principle and feasibility of using transcutaneous diffuse reflectance spectroscopy for non-invasive ...
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In this paper, the propagation characteristics of near-infrared (NIR) light in the palm tissue are analyzed, and the principle and feasibility of using transcutaneous diffuse reflectance spectroscopy for non-invasive blood glucose detection are presented. An optical probe suitable for measuring the diffuse reflectance spectrum of human palm and a non-invasive blood glucose detectionsystem using NIR spectroscopy are designed. Based on this system, oral glucose tolerance tests are performed to measure the blood glucose concentrations of two young healthy volunteers. The partial least square calibration model is then constructed by all individual experimental data. The final result shows that correlation coefficients of the two experiments between the predicted blood glucose concentrations and the reference blood glucose concentrations are 0.9870 and 0.9854, respectively. The root mean square errors of prediction of full cross validation are 0.54 and 0.52 mmol/1, respectively.
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