230.548 People
Yang, Bin
Aalborg University
in Cooperation with on an Cooperation-Score of 37%
Topics
- steel
- assessment
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- Research Context United States of America
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- show 244 more
Publications
- 2022Field Evaluation of Using Slag as Aggregates for Otta Seal Surfacing
- 2022Germanium Halides Serving as Ideal Precursors:Designing a More Effective and Less Toxic Route to High-Optoelectronic-Quality Metal Halide Perovskite Nanocrystals
- 2021A Lane Level Bi-Directional Hybrid Path Planning Method Based on High Definition Map
- 2021Evaluation of Driver Assistance System Presenting Information of Other Vehicles through Peripheral Vision at Unsignalized Intersectionscitations
- 2021Evaluations of Different Human Machine Interfaces for Presenting Right-Turn Timing at Intersectionscitations
- 2020A Hybrid Learning Approach to Stochastic Routingcitations
- 2020Anytime Stochastic Routing with Hybrid Learningcitations
- 2020Design and implementation of Battery/SMES hybrid energy storage systems used in electric vehicles: A nonlinear robust fractional-order control approachcitations
- 2020Applications of battery/supercapacitor hybrid energy storage systems for electric vehicles using perturbation observer based robust controlcitations
- 2020Design of Longitudinal Controller for Automated Driving Buscitations
- 2020Study on the Green Wave Optimal Speed Guidance System Based on V2X
- 2020Fast stochastic routing under time-varying uncertaintycitations
- 2020A Correlated Time Series Forecast System
- 2020Stochastic Origin-Destination Matrix Forecasting Using Dual-Stage Graph Convolutional, Recurrent Neural Networkscitations
- 2020Estimating travel speed distributions of paths in road networks using dual-input LSTMscitations
- 2019LOW-COST WHEELED ROBOT-BORNE LASER SCANNING SYSTEM FOR INDOOR AND OUTDOOR 3D MAPPING APPLICATIONcitations
- 2019Comparison of satellite reflectance algorithms for estimating turbidity and cyanobacterial concentrations in productive freshwaters using hyperspectral aircraft imagery and dense coincident surface observationscitations
- 2019Real-time Controlling Dynamics Sensing in Air Traffic Systemcitations
- 2019Stochastic Weight Completion for Road Networks using Graph Convolutional Networkscitations
- 2018A total bounded variation approach to low visibility estimation on expresswayscitations
- 2018A Cask Evaluation Model to Assess Safety in Chinese Rural Roadscitations
- 2018Risk-aware path selection with time-varying, uncertain travel costs: a time series approachcitations
- 2018Polymer-Passivated Inorganic Cesium Lead Mixed-Halide Perovskites for Stable and Efficient Solar Cells with High Open-Circuit Voltage over 1.3 V.citations
- 2017PACE: a PAth-CEntric paradigm for stochastic path findingcitations
- 2017A new lattice hydrodynamic model considering the effects of bilateral gaps on vehicular traffic flowcitations
- 2017Comparison of satellite reflectance algorithms for estimating phycocyanin values and cyanobacterial total biovolume in a temperate reservoir using coincident hyperspectral aircraft imagery and dense coincident surface observationscitations
- 2017Influences of Waiting Time on Driver Behaviors While Implementing In-Vehicle Traffic Light for Priority-Controlled Unsignalized Intersectionscitations
- 2016Comparison of satellite reflectance algorithms for estimating chlorophyll-a in a temperate reservoir using coincident hyperspectral aircraft imagery and dense coincident surface observationscitations
- 2016Distributed Control for Charging Multiple Electric Vehicles with Overload Limitationcitations
- 2016Fault diagnosis of internal combustion engine valve clearance: The survey of the-state-of-the-artcitations
- 2016Enabling time-dependent uncertain eco-weights for road networkscitations
- 2016Variable structure single neuron adaptive PSD control of automotive electronic throttlecitations
- 2016Analyzing the Impact of Trucks on Traffic Flow Based on an Improved Cellular Automaton Modelcitations
- 2015Toward personalized, context-aware routingcitations
- 2014Scheduling of electric vehicle charging request and power allocation at charging stations with renewable energycitations
- 2014Using Incomplete Information for Complete Weight Annotation of Road Networks:Extended Version
- 2014EcoMark 2.0: empowering eco-routing with vehicular environmental models and actual vehicle fuel consumption datacitations
- 2014Plug-in electric vehicles charging with different electricity pricing strategiescitations
- 2014Using Incomplete Information for Complete Weight Annotation of Road Networkscitations
- 2014Stochastic skyline route planning under time-varying uncertaintycitations
- 2013Travel Cost Inference from Sparse, Spatio-Temporally Correlated Time Series Using Markov Models
- 2013EcoTour: Reducering af det miljømæssige fodspor fra køretøjer ved brug af øko-ruter ; EcoTour:Reducing the Environmental Footprint of Vehicles Using Eco-routescitations
- 2012A 77 GHz automotive radar transmitter in 65-nm CMOScitations
- 2011A data imputation method with support vector machines for activity-based transportation modelscitations
Places of action
article
A total bounded variation approach to low visibility estimation on expressways
Abstract
Low visibility on expressways caused by heavy fog and haze is a main reason for traffic accidents. Real-time estimation of atmospheric visibility is an effective way to reduce traffic accident rates. With the development of computer technology, estimating atmospheric visibility via computer vision becomes a research focus. However, the estimation accuracy should be enhanced since fog and haze are complex and time-varying. In this paper, a total bounded variation (TBV) approach to estimate low visibility (less than 300 m) is introduced. Surveillance images of fog and haze are processed as blurred images (pseudo-blurred images), while the surveillance images at selected road points on sunny days are handled as clear images, when considering fog and haze as noise superimposed on the clear images. By combining image spectrum and TBV, the features of foggy and hazy images can be extracted. The extraction results are compared with features of images on sunny days. Firstly, the low visibility surveillance images can be filtered out according to spectrum features of foggy and hazy images. For foggy and hazy images with visibility less than 300 m, the high-frequency coefficient ratio of Fourier (discrete cosine) transform is less than 20%, while the low-frequency coefficient ratio is between 100% and 120%. Secondly, the relationship between TBV and real visibility is established based on machine learning and piecewise stationary time series analysis. The established piecewise function can be used for visibility estimation. Finally, the visibility estimation approach proposed is validated based on real surveillance video data. The validation results are compared with the results of image contrast model. Besides, the big video data are collected from the Tongqi expressway, Jiangsu, China. A total of 1,782,000 frames were used and the relative errors of the approach proposed are less than 10%.
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