Accident Detection Using Deep LearningReddy, K. NarenderSrinidhi, ParsiPatlola, SriyaSathwika, VanchaPapaiahgari, JaipalreddyJournal of Cardiovascular Disease Research (Journal of Cardiovascular Disease Research)
This paper presents a computer vision-based accident anticipation and detection method. The proposed approach employs a spatial feature based Recurrent Neural Network (RNN) along with Long Short-Term Memory (LSTM) cells to anticipate and detect accidents through dashcam video of vehicles. This method...
deep-learning time-series location spatio-temporal demand-forecasting probabilistic-models spatio-temporal-data anomaly-detection traffic-prediction spatio-temporal-modeling accident-detection multivariate-timeseries time-series-prediction spatio-temporal-prediction time-series-forecasting paper-list time-series-impu...
Highway crash detection and risk estimation using deep learning Tingting Huang, Shuo Wang, Anuj Sharma Article 105392 select article A review of spatial approaches in road safety Research articleAbstract only A review of spatial approaches in road safety ...
A good and early detection of faults, an efficient alarm management procedure or a fine sensor validation process help to avoid turning faults into failures and thus plant shutdowns and potential accidents. In this paper an integrated approach will be presented to manage the fault diagnosis and ...
A systematic literature survey on skin disease detection and classification using machine learning and deep learning The world population is growing very fast and the lifestyle of human beings is changing with time and place. So, there is a need for disease management whi... R Yadav,A Bhat -...
Traffic Accident Detection By Using Machine Learning Methods There are lots of studies about preventing or detecting the car accidents. Most of them includes sensing objects which might cause accident or statistics about accidents. In this study, a system which detects happening accidents will be .....
Kang M, Song J, Hwang K (2020) For preventative automated driving system (PADS): traffic accident context analysis based on deep neural networks. Electronics 9(11):1829 Google Scholar Lee H, Kang M, Song J, Hwang K (2020) The detection of black ice accidents for preventative automated ...
Discovering latent themes in traffic fatal crash narratives using text mining analytics and network topology Keneth Morgan Kwayu, Valerian Kwigizile, Kevin Lee, Jun-Seok Oh Article 105899 select article Sensitivity and specificity of the driver sleepiness detection methods using physiological signals: A...
select article Performance of ground-level signal detection when using a phone while walking Research articleAbstract only Performance of ground-level signal detection when using a phone while walking Eunjee Kim, Hyorim Kim, Yujin Kwon, Seobin Choi, Gwanseob Shin ...