Zobrazeno 1 - 10
of 87
pro vyhledávání: '"YANG, ALLEN Y."'
Autor:
Huang, Zixun, Yao, Keling, Zhao, Seth Z., Pan, Chuanyu, Xu, Chenfeng, Zhuang, Kathy, Xu, Tianjian, Feng, Weiyu, Yang, Allen Y.
Robust 6DoF pose estimation with mobile devices is the foundation for applications in robotics, augmented reality, and digital twin localization. In this paper, we extensively investigate the robustness of existing RGBD-based 6DoF pose estimation met
Externí odkaz:
http://arxiv.org/abs/2309.13570
This paper studies the design of a Model Predictive Controller (MPC) for integrated lateral stability, traction/braking control, and rollover prevention of electric vehicles intended for very high speed (VHS) racing applications. We first identify th
Externí odkaz:
http://arxiv.org/abs/2306.06096
Autor:
Feng, Weiyu, Zhao, Seth Z., Pan, Chuanyu, Chang, Adam, Chen, Yichen, Wang, Zekun, Yang, Allen Y.
Digital twin is a problem of augmenting real objects with their digital counterparts. It can underpin a wide range of applications in augmented reality (AR), autonomy, and UI/UX. A critical component in a good digital-twin system is real-time, accura
Externí odkaz:
http://arxiv.org/abs/2302.05991
Remote telepresence via next-generation mixed reality platforms can provide higher levels of immersion for computer-mediated communications, allowing participants to engage in a wide spectrum of activities, previously not possible in 2D screen-based
Externí odkaz:
http://arxiv.org/abs/2204.00161
Autor:
Keshavarzi, Mohammad, Reyes, Flaviano Christian, Shrivastava, Ritika, Afolabi, Oladapo, Caldas, Luisa, Yang, Allen Y.
Indoor scene augmentation has become an emerging topic in the field of computer vision and graphics with applications in augmented and virtual reality. However, current state-of-the-art systems using deep neural networks require large datasets for tr
Externí odkaz:
http://arxiv.org/abs/2103.15369
The availability of rich 3D datasets corresponding to the geometrical complexity of the built environments is considered an ongoing challenge for 3D deep learning methodologies. To address this challenge, we introduce GenScan, a generative system tha
Externí odkaz:
http://arxiv.org/abs/2012.03998
Spatial computing experiences are constrained by the real-world surroundings of the user. In such experiences, augmenting virtual objects to existing scenes require a contextual approach, where geometrical conflicts are avoided, and functional and pl
Externí odkaz:
http://arxiv.org/abs/2009.12395
Recent advances in computer graphics and computer vision have found successful application of deep neural network models for 3D shapes based on signed distance functions (SDFs) that are useful for shape representation, retrieval, and completion. Howe
Externí odkaz:
http://arxiv.org/abs/2004.09048
Spatial computing experiences are physically constrained by the geometry and semantics of the local user environment. This limitation is elevated in remote multi-user interaction scenarios, where finding a common virtual ground physically accessible
Externí odkaz:
http://arxiv.org/abs/1910.05998
Autor:
Huang, Zhijiong, Zhang, Yu, Quigley, Kathryn C., Sankar, Ramya, Wormser, Clemence, Mo, Xinxin, Yang, Allen Y.
Virtual reality (VR) is an important new technology that is fun-damentally changing the way people experience entertainment and education content. Due to the fact that most currently available VR products are one size fits all, the accessibility of t
Externí odkaz:
http://arxiv.org/abs/1904.08009