Deep learning method for driver identification using vehicle sensor data
With greater emphasis on user privacy protection, sensor data without biometric identifier reflects driver style and is commonly used for non-invasive identification of driver behavior. In this project, we use the sampled Nervtech dataset and choose Driver2vec and Gradient boosting decision tree (GB...
Saved in:
Main Author: | Chen, Youzhen |
---|---|
Other Authors: | Tay Wee Peng |
Format: | Thesis-Master by Coursework |
Language: | English |
Published: |
Nanyang Technological University
2023
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/170706 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Detecting driver inattentiveness using deep learning approach
by: Chong, Bryan Kuo Wei
Published: (2022) -
Scene understanding for unmanned vehicle using deep learning
by: Lu, Yizhou
Published: (2022) -
Drivers' fatigue detection using image sensors
by: Siti Nadya Redzwan
Published: (2020) -
Drivers’ behaviours detection with privacy protection using deep learning techniques
by: Xing, Tong
Published: (2021) -
Tactile identification of textures using machine learning/ deep learning
by: Goh, Jun Bin
Published: (2022)