Zobrazeno 1 - 10
of 121
pro vyhledávání: '"Yun, Kyongsik"'
Future spacecraft and surface robotic missions require increasingly capable autonomy stacks for exploring challenging and unstructured domains, and trajectory optimization will be a cornerstone of such autonomy stacks. However, the nonlinear optimiza
Externí odkaz:
http://arxiv.org/abs/2312.14336
Autor:
Yun, Kyongsik, Adams, Kyra, Reager, John, Liu, Zhen, Chavez, Caitlyn, Turmon, Michael, Lu, Thomas
California's Central Valley is the national agricultural center, producing 1/4 of the nation's food. However, land in the Central Valley is sinking at a rapid rate (as much as 20 cm per year) due to continued groundwater pumping. Land subsidence has
Externí odkaz:
http://arxiv.org/abs/2212.04813
There are two main algorithmic approaches to autonomous driving systems: (1) An end-to-end system in which a single deep neural network learns to map sensory input directly into appropriate warning and driving responses. (2) A mediated hybrid recogni
Externí odkaz:
http://arxiv.org/abs/2203.15076
In this paper we describe a machine learning based framework for spacecraft swarm trajectory planning. In particular, we focus on coordinating motions of multi-spacecraft in formation flying through passive relative orbit(PRO) transfers. Accounting f
Externí odkaz:
http://arxiv.org/abs/2201.12338
Deep learning (DL) has proven to be an effective machine learning and computer vision technique. DL-based image segmentation, object recognition and classification will aid many in-situ Mars rover tasks such as path planning and artifact recognition/
Externí odkaz:
http://arxiv.org/abs/2201.05775
The Deep Space Network is NASA's international array of antennas that support interplanetary spacecraft missions. A track is a block of multi-dimensional time series from the beginning to end of DSN communication with the target spacecraft, containin
Externí odkaz:
http://arxiv.org/abs/2111.01393
Autor:
Yun, Kyongsik, Choi, Changrak, Alimo, Ryan, Davis, Anthony, Forster, Linda, Rahmani, Amir, Adil, Muhammad, Madani, Ramtin
State-of-the-art motion planners cannot scale to a large number of systems. Motion planning for multiple agents is an NP (non-deterministic polynomial-time) hard problem, so the computation time increases exponentially with each addition of agents. T
Externí odkaz:
http://arxiv.org/abs/2010.07935
Paramedics often have to make lifesaving decisions within a limited time in an ambulance. They sometimes ask the doctor for additional medical instructions, during which valuable time passes for the patient. This study aims to automatically fuse voic
Externí odkaz:
http://arxiv.org/abs/2006.04946
Wildfire has had increasing impacts on society as the climate changes and the wildland urban interface grows. As such, there is a demand for innovative solutions to help manage fire. Managing wildfire can include proactive fire management such as pre
Externí odkaz:
http://arxiv.org/abs/1911.08288
Autor:
Yun, Kyongsik, Nguyen, Luan, Nguyen, Tuan, Kim, Doyoung, Eldin, Sarah, Huyen, Alexander, Lu, Thomas, Chow, Edward
It is important to find the target as soon as possible for search and rescue operations. Surveillance camera systems and unmanned aerial vehicles (UAVs) are used to support search and rescue. Automatic object detection is important because a person c
Externí odkaz:
http://arxiv.org/abs/1904.11619