3 papers
cs.RO2025
Driving Style Recognition Like an Expert Using Semantic Privileged Information from Large Language Models
Zhaokun Chen, Chaopeng Zhang, Xiaohan Li +3
Existing driving style recognition systems largely depend on low-level sensor-derived features for training, neglecting the rich semantic reasoning capability inherent to human exp…
cs.RO2024
100 Drivers, 2200 km: A Natural Dataset of Driving Style toward Human-centered Intelligent Driving Systems
Chaopeng Zhang, Wenshuo Wang, Zhaokun Chen +1
Effective driving style analysis is critical to developing human-centered intelligent driving systems that consider drivers' preferences. However, the approaches and conclusions of…
cs.RO2023
Shareable Driving Style Learning and Analysis with a Hierarchical Latent Model
Chaopeng Zhang, Wenshuo Wang, Zhaokun Chen +3
Driving style is usually used to characterize driving behavior for a driver or a group of drivers. However, it remains unclear how one individual's driving style shares certain com…