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An Intelligent Multimode Clustering Mechanism Using Driving Pattern Recognition in Cognitive Internet of Vehicles [PDF]
Sensors, 2021 Connected autonomous vehicles can leverage communication and artificial intelligence technologies to effectively overcome the perceived limitations of individuals and enhance driving safety and stability.
Huigang Chang, Nianwen Ning
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IEEE Open Journal of Intelligent Transportation Systems, 2023 This study reviews the Artificial Intelligence and Machine Learning approaches developed thus far for driver profile and driving pattern recognition, representing a set of macroscopic and microscopic behaviors respectively, to enhance the understanding ...
Dimitrios I. Tselentis +1 more
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Discriminative Transfer Learning for Driving Pattern Recognition in Unlabeled Scenes
IEEE Transactions on Cybernetics, 2022 Driving pattern recognition based on features, such as GPS, gear, and speed information, is essential to develop intelligent transportation systems. However, it is usually expensive and labor intensive to collect a large amount of labeled driving data from real-world driving scenes.
Chenyang Shen, Qinghua Hu, Liu Yang
exaly +4 more sources
Energies, 2017 The driving pattern has an important influence on the parameter optimization of the energy management strategy (EMS) for hybrid electric vehicles (HEVs).
Zhenzhen Lei +5 more
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CNN and KPCA-Based Automated Feature Extraction for Real Time Driving Pattern Recognition [PDF]
IEEE Access, 2019 Driving conditions greatly affect the energy control and the fuel economy of a hybrid electric vehicle (HEV). In this paper, an automated feature extraction scheme based on convolution neural networks (CNNs) and Kernel PCA (KPCA) for real time driving ...
Liang Xie +3 more
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AlgorithmsEnergy management strategies (EMS) in the context of electric or hybrid vehicles can optimize the available energy by minimizing consumption. Most optimization-based EMS are not real-time-applicable for an accurate estimation of future consumption.
Bedatri Moulik +2 more
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Fuzzy Logic Based Driving Pattern Recognition for Driving Cycle Analysis
Journal of Asian Electric Vehicles, 2004 Conducting driving cycle analysis (DCA) using trip data collected from vehicles operated in the field is very difficult. In fact, no comprehensive approach has been conceived to date, except those using standard driving cycles. A successful DCA could significantly enhance our understanding of vehicle performance and readily relate it to real-life ...
Bor Yann Liaw
exaly +3 more sources
Driving Pattern Recognition System Using Smartphone sensor stream
Journal of the Korea Industrial Information Systems Research, 2012 The database for driving patterns can be utilized in various system such as automatic driving system, driver safety system, and it can be helpful to monitor driving style. Therefore, we propose a driving pattern recognition system in which the sensor streams from a smartphone are recorded and used for recognizing driving events.
Chung-Won Song +2 more
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Energy Management Strategy Optimization of HEV based on Driving Pattern Recognition
Jixie chuandong, 2016 The existing energy management strategy which is based on driving pattern recognition failed to fully consider the battery state of charge（ SOC） falling fast in some driving cycle into consideration in the progress of driving.
Liu Yonggang +3 more
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UnShadowNet: Illumination Critic Guided Contrastive Learning for Shadow Removal
IEEE Access, 2023 Shadows are frequently encountered natural phenomena that significantly hinder the performance of computer vision perception systems in practical settings, e.g., autonomous driving.
Subhrajyoti Dasgupta +6 more
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