Bingbing Nie

According to our database, Bingbing Nie authored at least 14 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Quantifying the Individual Differences of Drivers' Risk Perception via Potential Damage Risk Model.

Chen Chen, Zhiqian Lan, Guojian Zhan, Yao Lyu, Bingbing Nie, Shengbo Eben Li

IEEE Trans. Intell. Transp. Syst., July, 2024

Cross-modal knowledge learning with scene text for fine-grained image classification.

Li Xiong, Yingchi Mao, Zicheng Wang, Bingbing Nie, Chang Li

IET Image Process., May, 2024

STDA: Spatio-Temporal Dual-Encoder Network Incorporating Driver Attention to Predict Driver Behaviors Under Safety-Critical Scenarios.

Dongyang Xu, Yiran Luo, Tianle Lu, Qingfan Wang, Qing Zhou, Bingbing Nie

CoRR, 2024

Risk-Aware Vehicle Trajectory Prediction Under Safety-Critical Scenarios.

Qingfan Wang, Dongyang Xu, Gaoyuan Kuang, Chen Lv, Shengbo Eben Li, Bingbing Nie

CoRR, 2024

2023

A Prediction-Uncertainty-Aware Safety Decision-Making Algorithm Towards Injury Risk Minimization Under Safety-Critical Scenarios.

Qingfan Wang, Detong Qin, Gaoyuan Kuang, Ruiyang Li, Bingbing Nie

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

2022

Sensitivity of Electrodermal Activity Features for Driver Arousal Measurement in Cognitive Load: The Application in Automated Driving Systems.

Penghui Li, Yibing Li, Yao Yao, Changxu Wu, Bingbing Nie, Shengbo Eben Li

IEEE Trans. Intell. Transp. Syst., 2022

Multisource Adaption for Driver Attention Prediction in Arbitrary Driving Scenes.

Shun Gan, Xizhe Pei, Yulong Ge, Qingfan Wang, Shi Shang, Shengbo Eben Li, Bingbing Nie

IEEE Trans. Intell. Transp. Syst., 2022

Quantifying the Individual Differences of Driver' Risk Perception with Just Four Interpretable Parameters.

Chen Chen, Zhiqian Lan, Guojian Zhan, Yao Lyu, Bingbing Nie, Shengbo Eben Li

CoRR, 2022

A GAN based approach for inferring progression trajectories of costal cartilage calcification from cross-sectional data at image level.

Yuan Huang, Sven A. Holcombe, Qing Zhou, Stewart C. Wang, Jisi Tang, Bingbing Nie

Comput. Biol. Medicine, 2022

2021

Decision-Making under On-Ramp merge Scenarios by Distributional Soft Actor-Critic Algorithm.

Yiting Kong, Yang Guan, Jingliang Duan, Shengbo Eben Li, Qi Sun, Bingbing Nie

CoRR, 2021

Constructing personalized situation awareness dataset for hazard perception, comprehension, projection, and action of drivers.

Shun Gan, Quan Li, Qingfan Wang, WenTao Chen, Detong Qin, Bingbing Nie

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

2020

Mixed Reinforcement Learning with Additive Stochastic Uncertainty.

Yao Mu, Shengbo Eben Li, Chang Liu, Qi Sun, Bingbing Nie, Bo Cheng, Baiyu Peng

CoRR, 2020

Analysis of Motion Sickness Associated Brain Activity Using fNIRS: A Driving Simulator Study.

Chenyang Zhang, Shuguang Li, Yaohua Li, Shengbo Eben Li, Bingbing Nie

IEEE Access, 2020

2019

Accelerated Inverse Reinforcement Learning with Randomly Pre-sampled Policies for Autonomous Driving Reward Design.

Long Xin, Shengbo Eben Li, Pin Wang, Wenhan Cao, Bingbing Nie, Ching-Yao Chan, Bo Cheng

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019