Driver Identification

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

1 dataset whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

9 shown of 9 papers with code (24 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Characterizing Driving Styles with Deep Learning
  13 Jul 2016 2 repositories listed
  Characterizing driving styles of human drivers using vehicle sensor data, e.
• Continual Learning for Behavior-based Driver Identification
  14 Dec 2024 1 repository listed
  These challenges include operating under limited computational resources, adapting to new drivers, and changes in driving behavior over time.
• Identifying Key Drivers of Heatwaves: A Novel Spatio-Temporal Framework for Extreme Event Detection
  15 Nov 2024 1 repository listed
  Heatwaves (HWs) are extreme atmospheric events that produce significant societal and environmental impacts.
• Driver Identification by an Ensemble of CNNs Obtained from Majority-Voting Model Selection
  5 Oct 2023 1 repository listed
  Driver identification refers to the task of identifying the driver behind the wheel among a set of drivers.
• Discrete Wavelet Transform for Generative Adversarial Network to Identify Drivers Using Gyroscope and Accelerometer Sensors
  1 Apr 2022 1 repository listed
  After extracting features from smartphone-embedded sensors, various machine learning methods can be used to identify the driver.
• Driving Style Representation in Convolutional Recurrent Neural Network Model of Driver Identification
  11 Feb 2021 1 repository listed
  Using CNN, we capture semantic patterns of driver behavior from trajectories (such as a turn or a braking event).
• Driver Identification Based on Vehicle Telematics Data using LSTM-Recurrent Neural Network
  19 Nov 2019 1 repository listed
  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.
• Know Your Master: Driver Profiling-based Anti-theft Method
  18 Apr 2017 1 repository listed
  In our model, we add mechanical features of automotive parts that are excluded in previous works, but can be differentiated by drivers' driving behaviors.
• Autoencoder Regularized Network For Driving Style Representation Learning
  5 Jan 2017 1 repository listed
  In this paper, we study learning generalized driving style representations from automobile GPS trip data.