Papers Driver Identification
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Fault Detection and Human Intervention in Vehicle Platooning: A Multi-Model Framework
Vehicle platooning has been a promising solution for improving traffic efficiency and throughput. However, a failure in a single vehicle, including communication loss with neighboring vehicles, can significantly disrupt …
Autonomous VehiclesComputational EfficiencyDriver IdentificationFault DetectionPDB: Not All Drivers Are the Same -- A Personalized Dataset for Understanding Driving Behavior
Driving behavior is inherently personal, influenced by individual habits, decision-making styles, and physiological states. However, most existing datasets treat all drivers as homogeneous, overlooking driver-specific va…
AllDecision MakingDriver IdentificationContinual Learning for Behavior-based Driver Identification
Behavior-based Driver Identification is an emerging technology that recognizes drivers based on their unique driving behaviors, offering important applications such as vehicle theft prevention and personalized driving ex…
Continual LearningDriver IdentificationIdentifying Key Drivers of Heatwaves: A Novel Spatio-Temporal Framework for Extreme Event Detection
Heatwaves (HWs) are extreme atmospheric events that produce significant societal and environmental impacts. Predicting these extreme events remains challenging, as their complex interactions with large-scale atmospheric …
Driver IdentificationEvent DetectioneDOC: Explainable Decoding Out-of-domain Cell Types with Evidential Learning
Single-cell RNA-seq (scRNA-seq) technology is a powerful tool for unraveling the complexity of biological systems. One of essential and fundamental tasks in scRNA-seq data analysis is Cell Type Annotation (CTA). In spite…
Driver IdentificationTowards Edge-Based Data Lake Architecture for Intelligent Transportation System
The rapid urbanization growth has underscored the need for innovative solutions to enhance transportation efficiency and safety. Intelligent Transportation Systems (ITS) have emerged as a promising solution in this conte…
Decision MakingDriver IdentificationSiamese Multiple Attention Temporal Convolution Networks for Human Mobility Signature Identification
The Human Mobility Signature Identification (HuMID) problem stands as a fundamental task within the realm of driving style representation, dedicated to discerning latent driving behaviors and preferences from diverse dri…
Driver IdentificationDriver Identification by an Ensemble of CNNs Obtained from Majority-Voting Model Selection
Driver identification refers to the task of identifying the driver behind the wheel among a set of drivers. It is applicable in intelligent insurance, public transportation control systems, and the rental car business. A…
Driver IdentificationModel SelectionA Machine Learning Approach for Driver Identification Based on CAN-BUS Sensor Data
Driver identification is a momentous field of modern decorated vehicles in the controller area network (CAN-BUS) perspective. Many conventional systems are used to identify the driver. One step ahead, most of the researc…
BIG-bench Machine LearningDiagnosticDriver IdentificationNightly Automobile Claims Prediction from Telematics-Derived Features: A Multilevel Approach
In recent years it has become possible to collect GPS data from drivers and to incorporate this data into automobile insurance pricing for the driver. This data is continuously collected and processed nightly into metada…
Driver IdentificationDiscrete Wavelet Transform for Generative Adversarial Network to Identify Drivers Using Gyroscope and Accelerometer Sensors
Driver identification is a central research area in intelligent transportation systems, with applications in commercial freight transport and usage-based insurance. One way to perform the identification is to use smartph…
ClassificationData AugmentationDriver AuthenticationDriver Identification+2Secure Routine: A Routine-Based Algorithm for Drivers Identification
The introduction of Information and Communication Technology (ICT) in transportation systems leads to several advantages (efficiency of transport, mobility, traffic management). However, it may bring some drawbacks in te…
Driver IdentificationManagementDriving Style Representation in Convolutional Recurrent Neural Network Model of Driver Identification
Identifying driving styles is the task of analyzing the behavior of drivers in order to capture variations that will serve to discriminate different drivers from each other. This task has become a prerequisite for a vari…
Autonomous VehiclesDriver IdentificationMemorizationDriver2vec: Driver Identification from Automotive Data
With increasing focus on privacy protection, alternative methods to identify vehicle operator without the use of biometric identifiers have gained traction for automotive data analysis. The wide variety of sensors instal…
Autonomous DrivingDriver IdentificationTripletComputational methods for cancer driver discovery: A survey
Motivation: Uncovering the genomic causes of cancer, known as cancer driver genes, is a fundamental task in biomedical research. Cancer driver genes drive the development and progression of cancer, thus identifying cance…
Driver IdentificationSurveyDriver Identification through Stochastic Multi-State Car-Following Modeling
Intra-driver and inter-driver heterogeneity has been confirmed to exist in human driving behaviors by many studies. In this study, a joint model of the two types of heterogeneity in car-following behavior is proposed as …
Driver IdentificationThis Car is Mine!: Automobile Theft Countermeasure Leveraging Driver Identification with Generative Adversarial Networks
As a car becomes more connected, a countermeasure against automobile theft has become a significant task in the real world. To respond to automobile theft, data mining, biometrics, and additional authentication methods a…
Driver AuthenticationDriver IdentificationDriver Identification Based on Vehicle Telematics Data using LSTM-Recurrent Neural Network
Despite advancements in vehicle security systems, over the last decade, auto-theft rates have increased, and cyber-security attacks on internet-connected and autonomous vehicles are becoming a new threat. In this paper, …
Autonomous VehiclesDriver IdentificationPredictionTime Series+2Automatic Driver Identification from In-Vehicle Network Logs
Data generated by cars is growing at an unprecedented scale. As cars gradually become part of the Internet of Things (IoT) ecosystem, several stakeholders discover the value of in-vehicle network logs containing the meas…
Driver IdentificationDriver Identification via the Steering Wheel
Driver identification has emerged as a vital research field, where both practitioners and researchers investigate the potential of driver identification to enable a personalized driving experience. Within recent years, a…
Driver Identification