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Nengchao Lyu
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2020 – today
- 2024
- [j15]Qianxi Zhao
, Liu Yang
A driver stress detection model via data augmentation based on deep convolutional recurrent neural network. Expert Syst. Appl. 238(Part E): 122056 (2024) - [j14]Yugang Wang, Nengchao Lyu, Jianghui Wen:
Modeling risk potential fields for mandatory lane changes in intelligent connected vehicle environment. Expert Syst. Appl. 255: 124814 (2024) - [j13]Jiaqiang Wen, Toshiyuki Yamamoto, Nengchao Lyu:
A Two-Stage Behavioral Model Considering Vehicle Motion Fluctuations for Decision-Making During Lane Changes in Diverging Areas. Int. J. Intell. Transp. Syst. Res. 22(3): 561-578 (2024) - [i2]Junzhou Chen, Heqiang Huang, Ronghui Zhang, Nengchao Lyu, Yanyong Guo, Hong-Ning Dai, Hong Yan:
YOLO-TS: Real-Time Traffic Sign Detection with Enhanced Accuracy Using Optimized Receptive Fields and Anchor-Free Fusion. CoRR abs/2410.17144 (2024) - 2023
- [j12]Da Xu, Mengfei Liu, Xinpeng Yao, Nengchao Lyu
Integrating Surrounding Vehicle Information for Vehicle Trajectory Representation and Abnormal Lane-Change Behavior Detection. Sensors 23(24): 9800 (2023) - [j11]Jianghui Wen
A Longitudinal Velocity CF-MPC Model for Connected and Automated Vehicle Platooning. IEEE Trans. Intell. Transp. Syst. 24(6): 6463-6476 (2023) - 2022
- [j10]Nengchao Lyu
Vehicle Trajectory Prediction and Cut-In Collision Warning Model in a Connected Vehicle Environment. IEEE Trans. Intell. Transp. Syst. 23(2): 966-981 (2022) - [j9]Wei Hao
Development of a Safety Prediction Method for Arterial Roads Based on Big-Data Technology and Stacked AutoEncoder-Gated Recurrent Unit. IEEE Trans. Intell. Transp. Syst. 23(11): 20110-20122 (2022) - 2021
- [j8]Daiquan Xiao
Addressing Driving Actions of At-Fault Older Drivers: Bayesian Bivariate Ordered Probit Analysis. IEEE Access 9: 45803-45811 (2021) - [j7]Nengchao Lyu, Zhicheng Duan, Changxi Ma, Chaozhong Wu:
Safety margins - a novel approach from risk homeostasis theory for evaluating the impact of advanced driver assistance systems on driving behavior in near-crash events. J. Intell. Transp. Syst. 25(1): 93-106 (2021) - 2020
- [j6]Hasan Abdullah Hasan Naji
Investigating the Significant Individual Historical Factors of Driving Risk Using Hierarchical Clustering Analysis and Quasi-Poisson Regression Model. Sensors 20(8): 2331 (2020)
2010 – 2019
- 2019
- [j5]Chaozhong Wu, Haoran Wu, Nengchao Lyu
Take-Over Performance and Safety Analysis Under Different Scenarios and Secondary Tasks in Conditionally Automated Driving. IEEE Access 7: 136924-136933 (2019) - 2017
- [j4]Zhijun Chen, Chaozhong Wu, Zhen Huang, Nengchao Lyu, Zhaozheng Hu
Dangerous driving behavior detection using video-extracted vehicle trajectory histograms. J. Intell. Transp. Syst. 21(5): 409-421 (2017) - [j3]Nengchao Lyu
Modeling Vehicle Collision Angle in Traffic Crashes Based on Three-Dimensional Laser Scanning Data. Sensors 17(3): 482 (2017) - [j2]Zhijun Chen, Chaozhong Wu, Yishi Zhang
Vehicle Behavior Learning via Sparse Reconstruction with ℓ2-ℓp Minimization and Trajectory Similarity. IEEE Trans. Intell. Transp. Syst. 18(2): 236-247 (2017) - 2015
- [j1]Zhijun Chen, Chaozhong Wu, Yishi Zhang
Feature selection with redundancy-complementariness dispersion. Knowl. Based Syst. 89: 203-217 (2015) - [i1]Zhijun Chen, Chaozhong Wu, Yishi Zhang, Zhen Huang, Bin Ran, Ming Zhong, Nengchao Lyu:
Feature Selection with Redundancy-complementariness Dispersion. CoRR abs/1502.00231 (2015) - 2014
- [c1]Zhijun Chen, Chaozhong Wu, Nengchao Lyu, Gang Liu, Yi He
Pedestrian-vehicular collision avoidance based on vision system. ITSC 2014: 11-15
Coauthor Index
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