Driving Dataset

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1. Dataset Release

For academic purposes, we are happy to release our driving dataset. If you use our dataset for your experiment, please cite our paper.

Driving time : about 23 hours

Driving length : about 46km (round-trip)

Driving path : between Korea University and SANGAM World Cup Stadium

# of Driver : 10 (A to J classes in the dataset and our paper.) 

• •  Dataset Download Link: Download

• You can find more detailed description for each field in this paper written by Fabio Martinelli et al. (See Table 1 in https://www.iit.cnr.it/sites/default/files/human-behavior-characterization.pdf). This paper cited our dataset, and provide more information than our original dataset. ;-) 

2. Applicable Area 

• User (driver) classification based on driving pattern analysis 

• Personalization service (combined with infotainment service based on the classification result) 

• Auto theft detection 

3. Publication

Byung Il Kwak, Jiyoung Woo and Huy Kang Kim, "Know Your Master: Driver Profiling-based Anti-theft Method", PST (Privacy, Security and Trust) 2016

• Download full paper

• Download citation as BibTex

4. Acknowledgement

(new)

This dataset is used for the the AI/ML based driver classification challenge track in '2018 Information Security R&D dataset challenge' in South Korea. 

You can find additional resources and tutorials (written in Korean) in the above URLs. 

Contact : Byung Il Kwak (kwacka12@korea.ac.kr ) or Huy Kang Kim (cenda@korea.ac.kr)