Zobrazeno 1 - 10
of 2 262
pro vyhledávání: '"Zhan Wei"'
Publikováno v:
Jixie chuandong, Vol 46, Pp 59-66 (2022)
In order to accurately analyze the influence of the kinematic pair clearance on the mechanism dynamic characteristics， a nonlinear stiffness coefficient is introduced based on the Gonthier contact force model， and an improved Gonthier model is ob
Externí odkaz:
https://doaj.org/article/a401001f2ae740d4a52dc8e5ca31dfa1
Publikováno v:
Redai dili, Vol 41, Iss 6, Pp 1292-1302 (2021)
As the endogenous driving force of regional development, the development of urban entities in metropolitan areas has a great influence on the development of the metropolitan areas, while the interactions between the urban entities' systems directly a
Externí odkaz:
https://doaj.org/article/cc77828bd92f476dbeff15891cfa5a95
Autor:
Xie, Yichen, Xu, Chenfeng, Peng, Chensheng, Zhao, Shuqi, Ho, Nhat, Pham, Alexander T., Ding, Mingyu, Tomizuka, Masayoshi, Zhan, Wei
Recent advancements have exploited diffusion models for the synthesis of either LiDAR point clouds or camera image data in driving scenarios. Despite their success in modeling single-modality data marginal distribution, there is an under-exploration
Externí odkaz:
http://arxiv.org/abs/2411.01123
Autor:
Liu, Jiaqi, Xu, Chengkai, Hang, Peng, Sun, Jian, Ding, Mingyu, Zhan, Wei, Tomizuka, Masayoshi
The cooperative driving technology of Connected and Autonomous Vehicles (CAVs) is crucial for improving the efficiency and safety of transportation systems. Learning-based methods, such as Multi-Agent Reinforcement Learning (MARL), have demonstrated
Externí odkaz:
http://arxiv.org/abs/2410.24152
Autor:
Ge, Chongjian, Xu, Chenfeng, Ji, Yuanfeng, Peng, Chensheng, Tomizuka, Masayoshi, Luo, Ping, Ding, Mingyu, Jampani, Varun, Zhan, Wei
Recent breakthroughs in text-guided image generation have significantly advanced the field of 3D generation. While generating a single high-quality 3D object is now feasible, generating multiple objects with reasonable interactions within a 3D space,
Externí odkaz:
http://arxiv.org/abs/2410.20723
Autor:
Fei, Xin, Zheng, Wenzhao, Duan, Yueqi, Zhan, Wei, Tomizuka, Masayoshi, Keutzer, Kurt, Lu, Jiwen
We propose PixelGaussian, an efficient feed-forward framework for learning generalizable 3D Gaussian reconstruction from arbitrary views. Most existing methods rely on uniform pixel-wise Gaussian representations, which learn a fixed number of 3D Gaus
Externí odkaz:
http://arxiv.org/abs/2410.18979
Autor:
Jacobson, Philip, Xie, Yichen, Ding, Mingyu, Xu, Chenfeng, Tomizuka, Masayoshi, Zhan, Wei, Wu, Ming C.
Semi-supervised 3D object detection is a common strategy employed to circumvent the challenge of manually labeling large-scale autonomous driving perception datasets. Pseudo-labeling approaches to semi-supervised learning adopt a teacher-student fram
Externí odkaz:
http://arxiv.org/abs/2409.10901
Robot exploration aims at constructing unknown environments and it is important to achieve it with shorter paths. Traditional methods focus on optimizing the visiting order based on current observations, which may lead to local-minimal results. Recen
Externí odkaz:
http://arxiv.org/abs/2409.10878
Autor:
Tang, Weiliang, Pan, Jia-Hui, Zhan, Wei, Zhou, Jianshu, Yao, Huaxiu, Liu, Yun-Hui, Tomizuka, Masayoshi, Ding, Mingyu, Fu, Chi-Wing
Observing that the key for robotic action planning is to understand the target-object motion when its associated part is manipulated by the end effector, we propose to generate the 3D object-part scene flow and extract its transformations to solve th
Externí odkaz:
http://arxiv.org/abs/2409.10032
We study the mass spectra and radiative decays of $D_{s0}^*(2317)$ and $D_{s1}^{\prime}(2460)$ in an unquenched framework. In addition to coupled channel effects between the $c\bar{s}$ cores and $D^{(*)}K$ channels, $D^{(*)}K$-$D^{(*)}K$ self interac
Externí odkaz:
http://arxiv.org/abs/2409.05337