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2020 – today
- 2024
[j16]Rui Fu, Li Ma, Yingshi Guo, Qinyu Sun, Chang Wang, Wei Yuan, Tingting Lan:
Long and short-term characteristics of motion sickness: a test track investigation in a passenger car. Cogn. Technol. Work. 26(2): 313-324 (2024)- 2023
- [j15]Rui Fu
, Tao Huang, Mingyue Li, Qinyu Sun, Yunxing Chen:
A multimodal deep neural network for prediction of the driver's focus of attention based on anthropomorphic attention mechanism and prior knowledge. Expert Syst. Appl. 214: 119157 (2023) - [j14]Li Ma, Yingshi Guo, Rui Fu, Qinyu Sun:
Passenger non-driving related tasks detection using a light weight neural network based on human prior knowledge and soft-hard feature constraints. Expert Syst. Appl. 219: 119631 (2023) - [j13]Qinyu Sun, Yingshi Guo, Yongtao Liu, Chang Wang, Menglu Gu, Yanqi Su:
Comparing the Effects of Visual Distraction in a High-Fidelity Driving Simulator and on a Real Highway. IEEE Trans. Intell. Transp. Syst. 24(4): 3738-3747 (2023) - [c3]Qinyu Sun:
Byzantine Fault-Tolerant Consensus Algorithm Based on Threshold Signature. ICIEAI 2023: 411-415 - 2022
- [j12]Tao Huang, Rui Fu, Qinyu Sun:
Driver's mobile phone usage detection using guided learning based on attention features and prior knowledge. Expert Syst. Appl. 206: 117877 (2022) - [j11]Tao Huang, Rui Fu, Yunxing Chen, Qinyu Sun:
Real-Time Driver Behavior Detection Based on Deep Deformable Inverted Residual Network With an Attention Mechanism for Human-Vehicle Co-Driving System. IEEE Trans. Veh. Technol. 71(12): 12475-12488 (2022) - 2021
- [j10]Qinyu Sun, Chang Wang, Rui Fu, Yingshi Guo, Wei Yuan, Zhen Li:
Lane change strategy analysis and recognition for intelligent driving systems based on random forest. Expert Syst. Appl. 186: 115781 (2021) - [c2]Shuaiyu Jia, Ling Gao, Hongbo Guo, Qinyu Sun, Hai Wang, Jie Zheng:
Action Recognition Based on Parallel Multi-Granularity Feature Refinement Networks. CBD 2021: 189-194 - [c1]Qinyu Sun, Ling Gao, Hongbo Guo, Shuaiyu Jia, Hai Wang, Jie Zheng:
Action recognition based on parallel convolutional recurrent neural networks. CBD 2021: 195-200 - 2020
- [j9]Chang Wang, Qinyu Sun, Zhen Li, Hongjia Zhang, Rui Fu:
A forward collision warning system based on self-learning algorithm of driver characteristics. J. Intell. Fuzzy Syst. 38(2): 1519-1530 (2020) - [j8]Hongjia Zhang, Yanjuan Liu, Chang Wang, Rui Fu, Qinyu Sun, Zhen Li:
Research on a Pedestrian Crossing Intention Recognition Model Based on Natural Observation Data. Sensors 20(6): 1776 (2020) - [j7]Chang Wang, Qinyu Sun, Zhen Li, Hongjia Zhang:
Human-Like Lane Change Decision Model for Autonomous Vehicles that Considers the Risk Perception of Drivers in Mixed Traffic. Sensors 20(8): 2259 (2020) - [j6]Qinyu Sun, Chang Wang, Yingshi Guo, Wei Yuan, Rui Fu:
Research on a Cognitive Distraction Recognition Model for Intelligent Driving Systems Based on Real Vehicle Experiments. Sensors 20(16): 4426 (2020) - [j5]Qinyu Sun, Yingshi Guo, Rui Fu, Chang Wang, Wei Yuan:
Human-Like Obstacle Avoidance Trajectory Planning and Tracking Model for Autonomous Vehicles That Considers the Driver's Operation Characteristics. Sensors 20(17): 4821 (2020) - [j4]Chang Wang, Qinyu Sun, Yingshi Guo, Rui Fu, Wei Yuan:
Improving the User Acceptability of Advanced Driver Assistance Systems Based on Different Driving Styles: A Case Study of Lane Change Warning Systems. IEEE Trans. Intell. Transp. Syst. 21(10): 4196-4208 (2020)
2010 – 2019
- 2019
- [j3]Yingshi Guo, Qinyu Sun, Rui Fu, Chang Wang:
Improved Car-Following Strategy Based on Merging Behavior Prediction of Adjacent Vehicle From Naturalistic Driving Data. IEEE Access 7: 44258-44268 (2019) - [j2]Qinyu Sun, Hongjia Zhang, Zhen Li, Chang Wang, Kang Du:
ADAS Acceptability Improvement Based on Self-Learning of Individual Driving Characteristics: A Case Study of Lane Change Warning System. IEEE Access 7: 81370-81381 (2019) - [j1]Chang Wang, Qinyu Sun, Zhen Li, Hongjia Zhang, Kaili Ruan:
Cognitive Competence Improvement for Autonomous Vehicles: A Lane Change Identification Model for Distant Preceding Vehicles. IEEE Access 7: 83229-83242 (2019)
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