Results 21 to 30 of about 91,459 (254)
Driving style recognition method using braking characteristics based on hidden Markov model. [PDF]
PLoS ONE, 2017 Since the advantage of hidden Markov model in dealing with time series data and for the sake of identifying driving style, three driving style (aggressive, moderate and mild) are modeled reasonably through hidden Markov model based on driver braking ...
Chao Deng +3 more
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Convolutional Neural Network Classification of Telematics Car Driving Data
Risks, 2019 The aim of this project is to analyze high-frequency GPS location data (second per second) of individual car drivers (and trips). We extract feature information about speeds, acceleration, deceleration, and changes of direction from this high-frequency ...
Guangyuan Gao, Mario V. Wüthrich
doaj +1 more source
Driving Pattern Recognition for Control of Hybrid Electric Trucks [PDF]
Vehicle System Dynamics, 2004 The design procedure for an adaptive power management control strategy, based on a driving pattern recognition algorithm is proposed. The design goal of the control strategy is to minimize fuel consumption and engine-out NOx and PM emissions on a set of diversified driving schedules.
Chan-Chiao Lin +3 more
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Recognition of Driving Patterns Using Accelerometers
Journal of Institute of Control, Robotics and Systems, 2010 In this paper, we proposed an algorithm to detect aggressive driving status by analysing six kinds of driving patterns, which was achieved by comparing for the feature vectors using mahalanobis distance. The first step is to construct feature matrix of size using frequency response of the time-series accelerometer data.
Gun-Sup Hhu +3 more
openaire +2 more sources
Recognition of the Driving Style in Vehicle Drivers
Sensors, 2020 This paper presents three different approaches to recognize driving style based on a hierarchical-model. Specifically, it proposes a hierarchical model for the recognition of the driving style for advanced driver-assistance systems (ADAS) for vehicles ...
Jorge Cordero +4 more
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Response properties of spiking and non-spiking brain neurons mirror pulse interval selectivity
Frontiers in Cellular Neuroscience, 2022 In the bispotted field cricket auditory pulse pattern recognition of the species-specific calling song is based on a delay-line and coincidence detection network, established by the activity and synaptic connections of only 5 auditory neurons in the ...
Xinyang Zhang, Berthold Hedwig
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The Role of Airway Epithelial Cell Alarmins in Asthma
Cells, 2022 The airway epithelium is the first line of defense for the lungs, detecting inhaled environmental threats through pattern recognition receptors expressed transmembrane or intracellularly.
Christiane E. Whetstone +4 more
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Sensors, 2023 Energy management methods (EMMs) utilizing sensing, communication, and networking technologies appear to be one of the most promising directions for energy saving and environmental protection of fuel cell vehicles (FCVs). In real-world driving situations,
Wei Wang +7 more
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Applied Sciences, 2019 The energy management strategy has a great influence on the fuel economy of hybrid electric vehicles, and the equivalent consumption minimization strategy (ECMS) has proved to be a useful tool for the real-time optimal control of Hybrid Electric Vehicles
Hangyang Li +4 more
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A Pattern Recognition System for Detecting Use of Mobile Phones While Driving [PDF]
Proceedings of the 9th International Conference on Computer Vision Theory and Applications, 2014 It is estimated that 80% of crashes and 65% of near collisions involved drivers inattentive to traffic for three seconds before the event. This paper develops an algorithm for extracting characteristics allowing the cell phones identification used during driving a vehicle.
Rafael A. Berri +4 more
openaire +2 more sources