In some embodiments, a segment is defined based on α and i. The segment is divided into points based on respective values of j, and the magnitude is calculated for each point of the segment. The defining and dividing segments and calculating the magnitude is iteratively repeated for each ...
[289] RoboGSim: A Real2Sim2Real Robotic Gaussian Splatting Simulator 🧑🔬 作者:Xinhai Li, Jialin Li, Ziheng Zhang, Rui Zhang, Fan Jia, Tiancai Wang, Haoqiang Fan, Kuo-Kun Tseng, Ruiping Wang 🏫 单位:Harbin Institute of Technology, Shenzhen ⟐ Chinese Academy of Sciences ⟐ ...
GSAVS: Gaussian Splatting-based Autonomous Vehicle Simulator 链接:https://arxiv.org/abs/2412.18816 作者: Rami Wilson 学校/机构:UC Santa Cruz 英文摘要: "Modern autonomous vehicle simulators feature an ever - growing library of assets, including vehicles, buildings, roads, pedestrians, and more. Wh...
Then, we propose Trick-GS, which is a careful combination of several strategies including (1) progressive training with resolution, noise and Gaussian scales, (2) learning to prune and mask primitives and SH bands by their significance, and (3) accelerated GS training framework. Trick-GS takes...
Fig. 10. Histogram of the objective function values of 100 local minmia given different noise levels. Dark color represents the distribution using the DGS gradient and light color represents the distribution using local gradient algorithm. (a) Gaussian noise N(0,0.1), (b) Gaussian noise N(0,...
However, the selected function should be flexible enough to capture underlying trends in the input rather than fitting data to mimic the simulator. To deal with these highly nonlinear problems, an approach based on the BLR and kernel method (nonlinear transformation) is adopted for the current ...
carried out in an LTE-A simulator, show that the proposed channel prediction method is able to provide consistent gain, in terms of packet loss rate, for users with low and average mobility, while its efficacy is reduced for high-velocity users. The proposed dual-control technique is then ap...
s i , j = 1 - α i + α i · 1 - α 2 C · j or s D - 1 , j = 1 - α D - 1 + α D - 1 · 1 2 C · j . In some embodiments, a segment is defined based on α and i. The segment is divided into points based on respective values of j, and the ...
The size of the training data set is determined as a balance between the required accuracy of the surrogate and the cost involved in running the simulator. In many CFD applications, Gaussian process regression (GPR), or the Kriging method [57], [27], has been employed to construct the ...
System identification of ship dynamic model based on Gaussian process regression with input noise 2020, Ocean Engineering Citation Excerpt : The container ship (Son and Nomoto, 1982) motion datasets used for training and validation are generated by the Marine Systems Simulator (MSS) (Perez et al....