obstacles detection in foggy environment IEEE PAPER
Obstacles detection in foggy environment
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Abstract In this paper, we propose a novel method of object detection in bad weather conditions like Fog and smoke. It is based on statistical model of dark channel prior to estimate the thickness of the haze and physics based image restoration approach. Further
Advances in the detection and analysis of fog at night using GOES multispectral infrared imagery
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The potential distribution of tropical lowland cloud forest as revealed by a novel MODIS-based fog/low stratus night-time detection scheme. Remote Sensing of Environment
Automatic fog detection and estimation of visibility distance through use of an onboard camera
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Region growinga system capable of either detecting the pres- ence of fog or estimatingDuring foggy weather, humans actually tend to overestimate visibility distances [1 in identifying a horizon suffers when images are complicated with clutter such as a very cloudy or foggyenvironment, an uneven4. Horizon Line Detection It appears that fog and scattered visibility caused the classifier to misinterpret the horizon line, which appeared right above
Ethernet FSO communications link performance study under a controlled fog environment
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atmospheric chamber, replicating the outdoor environment, is being used to evaluate the FSO link perfor- mance under the fog condition. Theoretical analysis supported by the experimental evaluation has been carried out for the intensity modulation/direct detection on-off It gives the thickness of fog in a picture by albedo.The experiment result show that the horizon detection used in this paper is robust in the foggy weather.on Intelligent Robots and Systems, Obstacle Detection for Small
A multiple-case analysis of nocturnal radiation-fog development in the central valley of California utilizing the GOES nighttime fog product
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describe the fogenvironment in terms of appropriate boundary layer temperature, humidity, wind speed, and wind direction, as well asBecause the five analysis divisions do not have equal distributions of foggy pixels, the Cp allows fog cover to be
Towards night fog detection through use of in-vehicle multipurpose cameras
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Fig. 5. ZNSSD correlation score between a reference image and a fog image grabbed during a fog dissipation in the fog chamber of ClermontThen, an evaluation of the approach is proposed on a video database recorded during foggy and clear nights.Light sources detection.
A satellite-based fog detection scheme using screen air temperature
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and Technology Branch, Cloud Physics and Severe Weather Research Section, Environment Canada, TorontoInitially, when all cases were included, fog detection (hit rate) by the satellite high-level clouds within the satellite imagery during the observed foggy periods affected
Ground fog detection from space based on MODIS daytime data-a feasibility study
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the results of the current study represent a clear step forward in fog detection from space.spatial comparison with NWP models that are devoted to the forecast of fog formation andspectral albedos used represent spatially integrated counts over the 1
The fog remote sensing and modeling field project
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Figure 6a is a false color RGB image of the foggy area.that use reflectivity obtained from the millimeter-cloud radars (eg,= 8.6, 3.2, 2.14, and 1.36 mm) for fogdetection (Mead etSome additional funding was also provided by the European COST-722 fog initiative project office
Raindrop detection on car windshields using geometric-photometric environment construction and intensity-based correlation
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Whereas many attempts have been made at resolving static weather problems like fog or haze [12], [15], [13], [8], research in machine vision forSimultane- ous contrast restoration and obstacles detection: First results.Visibility enhancement for roads with foggy or hazy scenes.
A shortwave parameterization revised to improve cloud absorption
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Ground FogDetection from Space Based on MODIS Daytime Data A Feasibility Study. Weather and Forecasting 20:6, 989-1005. Remote Sensing of Environment 91:1, 98-113. Online publication date: 1-May-2004.
Fog research in China: An overview
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Fog dynamic change detection based on Relation between fog formation and accumulation mode aerosols in urban environment of target Dusty-FoggyEnvironment Non Metal Shield Six-Port LNA LNA VCO10 dB Transceiver Antenna I2 I1 P1 P2 P3 P4 Since the six-port-based distance measurement technology provides very-high-accuracy distance detection down to the
Detection of visibility conditions through use of onboard cameras
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1. Results of fogdetection and measurement of the meteorological visibility distance; (a) under sunny weather, the region growing does not crossthe method indicates that there is no fog on the picture using a small triangle; (b) under foggy weather, the method detects fog.
New perspectives in remote sensing of fog and low stratus-TERRA/AQUA-MODIS and MSG
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using a hard classifier which flags pixels as foggy if at least 6 initial tests point to fog occurrence. Thus, the new approach for fog/low stratus detection with MSG-SEVIRI during daylight relies on the combinedIn figure 4, a fog/low stratus mask for November 5, 2003 can be seen.
Image based fog detection and visibility estimation for driving assistance systems
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Fogdetection system based onITSC '09, pp.1- Free Space Detection for Autonomous Navigation in Daytime Foggy Weather, IAPR Our results show that the concentration of airborne bacteria and yeasts is enriched in foggy conditions up to two orders ofAn automated fog water collector suitable for deposition networks: design, operation and field tests. Detection of uredospores of wheat rusts in spring rains. Detection of hydroxylated nitro aromatic and hydroxylated nitro polycyclic aromatic compounds in an ambient airon the occurrence and distribution of wood smoke marker compounds in foggy atmospheres.On the enrichment of hydrophobic organic compounds in fog droplets.
Image based fog detection in vehicles
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Detecting context information describing the environment surrounding, like fog, rain or snow, is stillPrevious camera based fogdetection systems analyze therefore distinct objects in the image [7stable information that we can always see in images of foggy weather conditions is
Fog Detection With Terra-MODIS and MSG-SEVIRI
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ABSTRACT A method is proposed to discriminate bewteen ground and uplifted fog by means of TERRA-MODIS data. First results of the MODIS fog/low stratus detection scheme are presented. The method is based on radiative transfer calculations which provide
Using surface data to validate a satellite based fog detection scheme
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Fog/low stratus detection and discrimination using satellite data
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1.1. Background Fog is a meteorological phenomenon with distinct spatio-temporal ramifications. The interpolation of point measurements of cloud cover and visibility entails significant uncertainties; satellite retrievals of fog and low stratus presence on the other
Performance of satellite fog detection techniques with major, fog-related highway accidents
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Abstract Five multi-vehicular highway accidents caused by low visibilities in fog were examined as to the ability of Geostationary Operational Environmental Satellite (GOES) techniques to detect the fog in advance. All of the accidents occurred near or shortly after
Detection of nighttime sea fog/stratus over the Huang-hai Sea using MTSAT-1R IR data
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Abstract A dual channel difference (DCD) method is applied to detect nighttime sea fog/stratus over the Huanghai Sea using the infrared (IR) data of shortwave (3.5–4.0 µm) and longwave (10.3–11.3 µm) channels from the Multi-functional Transport Satellite (
Fog detection and visibility measurements using forward scattered radiation
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An optoelectronic system for fog detection and vt'sibility measurement is presented. The visibility measurements are based on the forward scattering of light emitted by the LED transmitter. The paper contains the description of the system, principles of its operation
Operational detection of fog in the Alpine region by means of Advanced Very High Resolution Radiometer (AVHRR) imagery of NOAA-Satellites
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ABSTRACT A method for the detection of fog in the Alpine region is presented which is suitable for operational purposes. The classification of fog has been performed by means of brightness temperature differences (T4-T3) between channel 3 and 4 of NOAA/AVHRR.
Aging and the detection of collision events in fog
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Summary: The current study investigated age-related differences in the detection of collision events in fog. Observers were presented with displays simulating an object moving towards a driver at a constant speed and linear trajectory. The observers' task was to detect
Fog Border Detection in the Airflow Image
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Abstract: The airflow into a room greatly affects temperature comfort inside. To attest the function of an air conditioning system that distributes air into a room, it is necessary to state important properties of the distributed air, as for example its location and shape. Therefore
P6A. 2 FOG DETECTION BY KA-BAND METEOROLOGICAL DOPPLER RADAR
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A Ka-band meteorological Doppler radar was co-developed by Mitsubishi Electric Corporation and Kyoto University for experimental observations of fog . The appearance of radar mounted on a truck is
Detection of Hazardous Fog at Night Using Data From Meteorological Satellites and Surface Reporting Stations
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Is it fog or stratus Page 5. NHVC, Madison, WI 11-12 May 2004 Nighttime FogDetection Using GOES Multi-spectral Image Data Page 6.Page 9. NHVC, Madison, WI 11-12 May 2004 Daytime FogDetectionVisible images – Smooth texture, sharply defined borders,
OF MODERATE-RESOLUTION IMAGING SPECTRORADIOMETER (MODIS) SHORTWAVE INFRARED BANDS FOR OPTIMUM NIGHTTIME FOG DETECTION
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A bi-spectral technique for nighttime detection of potentially hazardous low clouds and fog based on shortwave Infrared (SWIR) data near 4.0 µm and longwave Infrared (LWIR) data near 11µm obtained from meteorological satellites has been in use for over two decades.
Detection of sea fog over China Seas from NOAA/AVHRR3
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ABSTRACT A study of detecting the sea fog from NOAA-16, and-17 Advanced Very High Resolution Radiometers (AVHRR3) is presented. Sea fog occurs frequently over China Sea at different season, especially on spring, and forms an obstacle for sea traffic. In this paper
AUTOMATIC FOG DETECTION ALGORITHM WITH APPLICATUION OF DYNAMIC THRESHOLDS
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Abstract One of keys to get fog information from satellite imagery is using emissivity difference between infrared (IR) and shortwave-infrared (SWIR), and it can be used in a nighttime algorithm. However, the difference varies according to time because SWIR
Detection of Fog/Low Stratus Using MSG SEVIRI Images
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Abstract Under winter conditions, fog is severely affecting air, sea and land transportation. Automatic detection of fog and low stratus using satellite data is crucial in operational nowcasting. The high temporal resolution and the high spectral discrimination of MSG
Detection of Infectious Tomato Mosaic Tobamovirus in Fog and Clouds
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MATERIALS AND METHODS Collection and concentration of cloud, fog, and water. To determine whether waterborne ToMV was present in our laboratory water, 12 deionized water samples (ranging in volume from 33 to 140 ml) from our laboratories at the Slate
Intrusion detection using fog computing
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Abstract: Cloud computing has been making a historic change in the way we access and store our information in computers. Cloud Storage is most widely used in various industrial sectors. Despite many advantages in storage of information on cloud, the security of data
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