Bingbing Nie

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 13

Top Topics

Vehicle Trajectory

Reinforcement Learning

Situation Aware

Top Venues

IEEE Trans. Intell. Transp. Syst.

IET Image Process.

Publications

Qingfan Wang, Dongyang Xu, Gaoyuan Kuang, Chen Lv, Shengbo Eben Li, Bingbing Nie
Risk-Aware Vehicle Trajectory Prediction Under Safety-Critical Scenarios. CoRR (2024)
Li Xiong, Yingchi Mao, Zicheng Wang, Bingbing Nie, Chang Li
Cross-modal knowledge learning with scene text for fine-grained image classification. IET Image Process. 18 (6) (2024)
Chen Chen, Zhiqian Lan, Guojian Zhan, Yao Lyu, Bingbing Nie, Shengbo Eben Li
Quantifying the Individual Differences of Drivers' Risk Perception via Potential Damage Risk Model. IEEE Trans. Intell. Transp. Syst. 25 (7) (2024)
Qingfan Wang, Detong Qin, Gaoyuan Kuang, Ruiyang Li, Bingbing Nie
A Prediction-Uncertainty-Aware Safety Decision-Making Algorithm Towards Injury Risk Minimization Under Safety-Critical Scenarios. ITSC (2023)
Penghui Li, Yibing Li, Yao Yao, Changxu Wu, Bingbing Nie, Shengbo Eben Li
Sensitivity of Electrodermal Activity Features for Driver Arousal Measurement in Cognitive Load: The Application in Automated Driving Systems. IEEE Trans. Intell. Transp. Syst. 23 (9) (2022)
Yuan Huang, Sven A. Holcombe, Qing Zhou, Stewart C. Wang, Jisi Tang, Bingbing Nie
A GAN based approach for inferring progression trajectories of costal cartilage calcification from cross-sectional data at image level. Comput. Biol. Medicine 146 (2022)
Chen Chen, Zhiqian Lan, Guojian Zhan, Yao Lyu, Bingbing Nie, Shengbo Eben Li
Quantifying the Individual Differences of Driver' Risk Perception with Just Four Interpretable Parameters. CoRR (2022)
Shun Gan, Xizhe Pei, Yulong Ge, Qingfan Wang, Shi Shang, Shengbo Eben Li, Bingbing Nie
Multisource Adaption for Driver Attention Prediction in Arbitrary Driving Scenes. IEEE Trans. Intell. Transp. Syst. 23 (11) (2022)
Yiting Kong, Yang Guan, Jingliang Duan, Shengbo Eben Li, Qi Sun, Bingbing Nie
Decision-Making under On-Ramp merge Scenarios by Distributional Soft Actor-Critic Algorithm. CoRR (2021)
Shun Gan, Quan Li, Qingfan Wang, WenTao Chen, Detong Qin, Bingbing Nie
Constructing personalized situation awareness dataset for hazard perception, comprehension, projection, and action of drivers. ITSC (2021)
Chenyang Zhang, Shuguang Li, Yaohua Li, Shengbo Eben Li, Bingbing Nie
Analysis of Motion Sickness Associated Brain Activity Using fNIRS: A Driving Simulator Study. IEEE Access 8 (2020)
Yao Mu, Shengbo Eben Li, Chang Liu, Qi Sun, Bingbing Nie, Bo Cheng, Baiyu Peng
Mixed Reinforcement Learning with Additive Stochastic Uncertainty. CoRR (2020)
Long Xin, Shengbo Eben Li, Pin Wang, Wenhan Cao, Bingbing Nie, Ching-Yao Chan, Bo Cheng
Accelerated Inverse Reinforcement Learning with Randomly Pre-sampled Policies for Autonomous Driving Reward Design. ITSC (2019)