Zobrazeno 1 - 10
of 90
pro vyhledávání: '"Nguyen, Ty"'
Autor:
Hoang Le Thuy Lan, Tran Van Giang, Nguyen Duc Thanh, Bui Van Loi, Tran Thi Kim Anh, Nguyen Ty
Publikováno v:
Croatian Journal of Fisheries, Vol 82, Iss 3, Pp 91-100 (2024)
Tank goby Glossogobius giuris is widely distributed across Vietnamese rivers, estuaries, and lagoons, particularly in the central region where this species plays a pivotal role as a high commercial source for local communities. In this study, we empl
Externí odkaz:
https://doaj.org/article/d4d71755cdc049c5935d55a2e9b38411
DEVELOPING E-LEARNING AND E-EDUCATIONAL RESOURES SYSTEM – A SOLUTION TO THE CURRENT TEACHER SHORTAGE
Autor:
Nguyen Ty, Ton Nu Oanh
Publikováno v:
Tạp chí Khoa học, Vol 53, Iss Special Issue 1, Pp 58-67 (2024)
This is scientific research on how to overcome the current shortage of high school teachers. Population growth and economic deterioration are the main causes of reduced investment in education; Schools receive little investment in additional construc
Externí odkaz:
https://doaj.org/article/1fd8d1735f9541c0aad78441e6e17f27
Autor:
Miller, Ian D., Cowley, Anthony, Konkimalla, Ravi, Shivakumar, Shreyas S., Nguyen, Ty, Smith, Trey, Taylor, Camillo Jose, Kumar, Vijay
Publikováno v:
in IEEE Robotics and Automation Letters, vol. 6, no. 2, pp. 2397-2404, April 2021
Currently, GPS is by far the most popular global localization method. However, it is not always reliable or accurate in all environments. SLAM methods enable local state estimation but provide no means of registering the local map to a global one, wh
Externí odkaz:
http://arxiv.org/abs/2203.08925
Autor:
Nguyen Xuan Huy1,2 nguyenxuanhuy@hueuni.edu.vn, Nguyen Ty2, Tran Van Giang2, Tran Vinh Phuong1
Publikováno v:
Israeli Journal of Aquaculture-Bamidgeh. 2024, Vol. 76 Issue 2, p1-9. 9p.
Autor:
Nguyen, Ty, Miller, Ian D., Cohen, Avi, Thakur, Dinesh, Prasad, Shashank, Taylor, Camillo J., Chaudrahi, Pratik, Kumar, Vijay
Scalable training data generation is a critical problem in deep learning. We propose PennSyn2Real - a photo-realistic synthetic dataset consisting of more than 100,000 4K images of more than 20 types of micro aerial vehicles (MAVs). The dataset can b
Externí odkaz:
http://arxiv.org/abs/2009.10292
Traditionally, controllers and state estimators in robotic systems are designed independently. Controllers are often designed assuming perfect state estimation. However, state estimation methods such as Visual Inertial Odometry (VIO) drift over time
Externí odkaz:
http://arxiv.org/abs/2007.04220
In this paper we consider the task of image-guided depth completion where our system must infer the depth at every pixel of an input image based on the image content and a sparse set of depth measurements. We propose a novel approach that builds upon
Externí odkaz:
http://arxiv.org/abs/1912.10336
We address the localization of robots in a multi-MAV system where external infrastructure like GPS or motion capture systems may not be available. Our approach lends itself to implementation on platforms with several constraints on size, weight, and
Externí odkaz:
http://arxiv.org/abs/1909.08200
Autor:
Nguyen, Ty, Shivakumar, Shreyas S., Miller, Ian D., Keller, James, Lee, Elijah S., Zhou, Alex, Ozaslan, Tolga, Loianno, Giuseppe, Harwood, Joseph H., Wozencraft, Jennifer, Taylor, Camillo J., Kumar, Vijay
Real-time semantic image segmentation on platforms subject to size, weight and power (SWaP) constraints is a key area of interest for air surveillance and inspection. In this work, we propose MAVNet: a small, light-weight, deep neural network for rea
Externí odkaz:
http://arxiv.org/abs/1904.01795
Autor:
Zhang, Yilun, Nguyen, Ty, Miller, Ian D., Shivakumar, Shreyas S., Chen, Steven, Taylor, Camillo J., Kumar, Vijay
Depth estimation is an important capability for autonomous vehicles to understand and reconstruct 3D environments as well as avoid obstacles during the execution. Accurate depth sensors such as LiDARs are often heavy, expensive and can only provide s
Externí odkaz:
http://arxiv.org/abs/1903.06397