SOTAVerified

Driver Identification

Papers

Showing 1–24 of 24 papers

TitleStatusHype
Fault Detection and Human Intervention in Vehicle Platooning: A Multi-Model Framework—0
PDB: Not All Drivers Are the Same -- A Personalized Dataset for Understanding Driving Behavior—0
Continual Learning for Behavior-based Driver IdentificationCode0
Identifying Key Drivers of Heatwaves: A Novel Spatio-Temporal Framework for Extreme Event DetectionCode0
eDOC: Explainable Decoding Out-of-domain Cell Types with Evidential Learning—0
Towards Edge-Based Data Lake Architecture for Intelligent Transportation System—0
Siamese Multiple Attention Temporal Convolution Networks for Human Mobility Signature Identification—0
Driver Identification by an Ensemble of CNNs Obtained from Majority-Voting Model SelectionCode0
A Machine Learning Approach for Driver Identification Based on CAN-BUS Sensor Data—0
Nightly Automobile Claims Prediction from Telematics-Derived Features: A Multilevel Approach—0
Discrete Wavelet Transform for Generative Adversarial Network to Identify Drivers Using Gyroscope and Accelerometer SensorsCode0
Secure Routine: A Routine-Based Algorithm for Drivers Identification—0
Driving Style Representation in Convolutional Recurrent Neural Network Model of Driver IdentificationCode1
Driver2vec: Driver Identification from Automotive Data—0
Computational methods for cancer driver discovery: A survey—0
Driver Identification through Stochastic Multi-State Car-Following Modeling—0
This Car is Mine!: Automobile Theft Countermeasure Leveraging Driver Identification with Generative Adversarial Networks—0
Driver Identification Based on Vehicle Telematics Data using LSTM-Recurrent Neural NetworkCode0
Automatic Driver Identification from In-Vehicle Network Logs—0
Driver Identification via the Steering Wheel—0
Driver Identification Using Automobile Sensor Data from a Single Turn—0
Know Your Master: Driver Profiling-based Anti-theft MethodCode0
Autoencoder Regularized Network For Driving Style Representation LearningCode0
Characterizing Driving Styles with Deep LearningCode1
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