A Driving Fingerprint Map Method of Driving Characteristic Representation for Driver Identification
Safety and comfortability are important indicators to evaluate the performance of driver assistant systems (ADAS) and intelligent vehicle (IV) systems. Driver identification or driving characteristic learning is needed to achieve the comfortability function for ADAS or IV systems. The effectiveness...
Main Authors: | Hao Cai, Zhaozheng Hu, Zhijun Chen, Dunyao Zhu |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2018-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8537901/ |
Similar Items
-
A Review of UTDrive Studies: Learning Driver Behavior From Naturalistic Driving Data
by: Yongkang Liu, et al.
Published: (2021-01-01) -
Recognition of the Driving Style in Vehicle Drivers
by: Jorge Cordero, et al.
Published: (2020-05-01) -
Driver Attention Area Extraction Method Based on Deep Network Feature Visualization
by: Guodong Han, et al.
Published: (2020-08-01) -
Policy challenges of increasing automation in driving
by: Ata M. Khan, et al.
Published: (2012-03-01) -
Research Progress and Prospects of Vehicle Driving Behavior Prediction
by: Xinghua Hu, et al.
Published: (2021-06-01)