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ORCIDJinghang Li
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[c6]Jinghang Li
, Bangyan Liao, Xiuyuan Lu, Peidong Liu, Shaojie Shen, Yi Zhou:
Event-Aided Time-to-Collision Estimation for Autonomous Driving. ECCV (54) 2024: 57-73- [c5]Zhongyang Ren, Bangyan Liao, Delei Kong, Jinghang Li, Peidong Liu, Laurent Kneip, Guillermo Gallego, Yi Zhou:
Motion and Structure from Event-Based Normal Flow. ECCV (56) 2024: 108-125 - [c4]Wenpu Li, Pian Wan, Peng Wang, Jinghang Li, Yi Zhou, Peidong Liu:
BeNeRF: Neural Radiance Fields from a Single Blurry Image and Event Stream. ECCV (31) 2024: 416-434 - [i8]Jinghang Li, Tales S. Santini, Yuanzhe Huang, Joseph M. Mettenburg, Tamer S. Ibrahim, Howard J. Aizenstein, Minjie Wu:
wmh_seg: Transformer based U-Net for Robust and Automatic White Matter Hyperintensity Segmentation across 1.5T, 3T and 7T. CoRR abs/2402.12701 (2024) - [i7]Wenpu Li, Pian Wan, Peng Wang, Jinghang Li, Yi Zhou, Peidong Liu:
BeNeRF: Neural Radiance Fields from a Single Blurry Image and Event Stream. CoRR abs/2407.02174 (2024) - [i6]Jinghang Li, Bangyan Liao, Xiuyuan Lu, Peidong Liu, Shaojie Shen, Yi Zhou:
Event-Aided Time-to-Collision Estimation for Autonomous Driving. CoRR abs/2407.07324 (2024) - [i5]Zhongyang Ren, Bangyan Liao, Delei Kong, Jinghang Li, Peidong Liu, Laurent Kneip, Guillermo Gallego, Yi Zhou:
Motion and Structure from Event-based Normal Flow. CoRR abs/2407.12239 (2024) - 2023
- [j5]Jinghang Li, Chao Lu, Penghui Li, Zheyu Zhang, Cheng Gong, Jianwei Gong:
Driver-Specific Risk Recognition in Interactive Driving Scenarios Using Graph Representation. IEEE Trans. Veh. Technol. 72(4): 4453-4465 (2023) - 2022
- [j4]Kunyi Zhang, Chenxing Jiang, Jinghang Li, Sheng Yang, Teng Ma, Chao Xu, Fei Gao:
DIDO: Deep Inertial Quadrotor Dynamical Odometry. IEEE Robotics Autom. Lett. 7(4): 9083-9090 (2022) - [j3]Zirui Li, Jianwei Gong, Chao Lu, Jinghang Li:
Personalized Driver Braking Behavior Modeling in the Car-Following Scenario: An Importance-Weight-Based Transfer Learning Approach. IEEE Trans. Ind. Electron. 69(10): 10704-10714 (2022) - [c3]Lei Wang, Jinghang Li, Junyan Qi, Junyi He:
AUV underwater 3D path planning based on particle swarm optimization-adaptive step-size cuckoo search algorithm. ICNCC 2022: 215-225 - [i4]Kunyi Zhang, Chenxing Jiang, Jinghang Li, Sheng Yang, Teng Ma, Chao Xu, Fei Gao:
DIDO: Deep Inertial Quadrotor Dynamical Odometry. CoRR abs/2203.03149 (2022) - 2021
- [j2]Cheng Su, Jinghang Li, Wangcai Ding, Zhigang Zhao:
Static workspace analysis of a multi-robot collaborative towing system with floating base. Int. J. Model. Simul. Sci. Comput. 12(2): 2150009:1-2150009:14 (2021) - [j1]Jinghang Li, Mengqi Hu:
Continuous Model Adaptation Using Online Meta-Learning for Smart Grid Application. IEEE Trans. Neural Networks Learn. Syst. 32(8): 3633-3642 (2021) - [i3]Zheyu Zhang, Boyang Wang, Chao Lu, Jinghang Li, Cheng Gong, Jianwei Gong:
Prediction of Pedestrian Spatiotemporal Risk Levels for Intelligent Vehicles: A Data-driven Approach. CoRR abs/2111.03822 (2021) - [i2]Jinghang Li, Chao Lu, Penghui Li, Zheyu Zhang, Cheng Gong, Jianwei Gong:
Driver-Specific Risk Recognition in Interactive Driving Scenarios using Graph Representation. CoRR abs/2111.06342 (2021) - 2020
- [c2]Zheyu Zhang, Chao Lu, Jinghang Li, Youzhi Xu, Junyan Lu, Zirui Li:
Prediction of Pedestrian Risky Level for Intelligent Vehicles. IV 2020: 169-174 - [i1]Zirui Li, Chao Lu, Cheng Gong, Jianwei Gong, Jinghang Li, Lianzhen Wei:
Driver Behavior Modelling at the Urban Intersection via Canonical Correlation Analysis. CoRR abs/2007.05751 (2020)
2010 – 2019
- 2019
- [c1]Jinghang Li, Chao Lu, Youzhi Xu, Zhao Zhang, Jianwei Gong, Huijun Di:
Manifold Learning for Lane-changing Behavior Recognition in Urban Traffic. ITSC 2019: 3663-3668
Coauthor Index
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