Results 41 to 50 of about 428,792 (296)
International Journal of Electrochemical Science, 2020 This paper presents an adaptive energy management strategy for fuel cell/battery/ supercapacitor hybrid energy storage systems of electric vehicles. The strategy consists of a game theory controller for power distribution and an neural network model for ...
Qiao Zhang +3 more
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Infrared Image Enhancement Using Convolutional Neural Networks for Auto-Driving
Applied Sciences, 2023 Auto-driving detection usually acquires low-light infrared images, which pose a great challenge to the autopilot function at night due to their low contrast and unclear texture details.
Shunshun Zhong, Luowei Fu, Fan Zhang
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Pattern recognition in interdisciplinary perception and intelligence [PDF]
, 2008 3 pages.-- Editorial to the monographic issue: "Pattern Recognition in Interdisciplinary Perception and Intelligence - PRintPerclntel".Pattern Recognition is the research area studying the operation and design of systems that recognise patterns in data ...
Yoshiaki Shirai +7 more
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Smartphone-based system for driver anger scale estimation using neural network on continuous wavelet transformation [PDF]
AUT Journal of Mathematics and Computing, 2020 Monitoring of the driver decreases accidents by reducing the risky behaviors and causes decreases the fuel consumption by preventing aggressive behavior. But this monitoring is costly due to built-in equipment.
Hamid Reza Eftekhari
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An investigation on the effect of driver style and driving events on energy demand of a PHEV [PDF]
, 2012 Environmental concerns, security of fuel supply and CO2 regulations are driving innovation in the automotive industry towards electric and hybrid electric vehicles.
McGordon, Andrew +5 more
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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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Pattern Recognition. 43rd DAGM German Conference, DAGM GCPR 2021. Proceedings
, 2023 The proceedings contain 46 papers. The special focus in this conference is on Pattern Recognition. The topics include: Sublabel-Accurate Multilabeling Meets Product Label Spaces; investigating the Consistency of Uncertainty Sampling in Deep Active ...
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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
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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