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Li, Z. (author), Lin, Yunlong (author), Cheng, Gong (author), Wang, X. (author), Liu, Qi (author), Gong, Jianwei (author), Lu, Chao (author)
Precisely modeling interactions and accurately predicting trajectories of surrounding vehicles are essential to the decision-making and path-planning of intelligent vehicles. This paper proposes a novel framework based on ensemble learning to improve the performance of trajectory predictions in interactive scenarios. The framework is termed...
conference paper 2022
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Li, X. (author), Cheng, Ai Jie (author), Lin, H.X. (author)
We present an approach which combines the sample regenerating particle filter (SRGPF) and unequal weight ensemble Kalman filter (UwEnKF) to obtain a more accurate forecast for nonlinear dynamic systems. Ensemble Kalman filter assumes that the model errors and observation errors are Gaussian distributed. Particle filter has demonstrated its...
journal article 2021
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Menenti, M. (author), Li, X. (author), Wang, J. (author), Vereecken, H. (author), Li, J. (author), Mancini, M. (author), Liu, Q. (author), Jia, L. (author), Li, J. (author), Kuenzer, C. (author), Huang, S. (author), Yesou, H. (author), Wen, J. (author), Kerr, Y. (author), Cheng, X. (author), Gourmelen, N. (author), Ke, C. (author), Ludwig, R. (author), Lin, H. (author), Eineder, M. (author), Ma, Y. (author), Su, Z.B. (author)
Ten Dragon 3 projects deal with hydrologic and cryosphere processes, with a focus on the Himalayas and Qinghai – Tibet Plateau, but not limited to that. At the 1st Dragon 3 Progress Symposium in 2013 a significant potential for a better and deeper integration appeared very clearly and we worked out an overview of the ten projects identifying...
conference paper 2015