Driver Identification
6 papers with code • 1 benchmarks • 1 datasets
Identifying who is behind the wheel from a set of drivers
Benchmarks
These leaderboards are used to track progress in Driver Identification
| Trend | Dataset | Best Model | Paper | Code | Compare |
|---|---|---|---|---|---|
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Overall-Driving-Behavior-Recognition-By-Smartphone
Most implemented papers
Characterizing Driving Styles with Deep Learning
sobhan-moosavi/characterizingdrivingstyleswithdeeplearning
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Characterizing driving styles of human drivers using vehicle sensor data, e. g., GPS, is an interesting research problem and an important real-world requirement from automotive industries.
Autoencoder Regularized Network For Driving Style Representation Learning
In this paper, we study learning generalized driving style representations from automobile GPS trip data.
Know Your Master: Driver Profiling-based Anti-theft Method
In our model, we add mechanical features of automotive parts that are excluded in previous works, but can be differentiated by drivers' driving behaviors.
Driver Identification Based on Vehicle Telematics Data using LSTM-Recurrent Neural Network
Abeni18/Deep-LSTM-for-Driver-Identification-
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Results show that the proposed model prediction accuracy remains satisfactory and outperforms the other approaches despite the extent of anomalies and noise-induced in the data.
Driving Style Representation in Convolutional Recurrent Neural Network Model of Driver Identification
Using CNN, we capture semantic patterns of driver behavior from trajectories (such as a turn or a braking event).
Discrete Wavelet Transform for Generative Adversarial Network to Identify Drivers Using Gyroscope and Accelerometer Sensors
Ruhallah93/Driver-Identification
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IEEE Sensors Journal 2022
After extracting features from smartphone-embedded sensors, various machine learning methods can be used to identify the driver.
