Zobrazeno 1 - 10
of 2 920
pro vyhledávání: '"Cladera, A"'
Autor:
Lei, Jiuzhou, Prabhu, Ankit, Liu, Xu, Cladera, Fernando, Mortazavi, Mehrad, Ehsani, Reza, Chaudhari, Pratik, Kumar, Vijay
Automated persistent and fine-grained monitoring of orchards at the individual tree or fruit level helps maximize crop yield and optimize resources such as water, fertilizers, and pesticides while preventing agricultural waste. Towards this goal, we
Externí odkaz:
http://arxiv.org/abs/2409.19786
Traditionally, unmanned aerial vehicles (UAVs) rely on CMOS-based cameras to collect images about the world below. One of the most successful applications of UAVs is to generate orthomosaics or orthomaps, in which a series of images are integrated to
Externí odkaz:
http://arxiv.org/abs/2409.18120
Neural Radiance Fields (NeRFs) have shown significant promise in 3D scene reconstruction and novel view synthesis. In agricultural settings, NeRFs can serve as digital twins, providing critical information about fruit detection for yield estimation a
Externí odkaz:
http://arxiv.org/abs/2409.15487
Publikováno v:
IEEE Transactions on Field Robotics (2024)
Mapping and navigation have gone hand-in-hand since long before robots existed. Maps are a key form of communication, allowing someone who has never been somewhere to nonetheless navigate that area successfully. In the context of multi-robot systems,
Externí odkaz:
http://arxiv.org/abs/2407.09902
Autor:
Abella, David, Martínez, Johann H., Mazzoli, Mattia, Corre, Thibault Le, Migozzi, Julien, Alonso-Paulí, Eduard, Crespí-Cladera, Rafel, Louail, Thomas, Ramasco, José J.
The real estate market shows an inherent connection to space. Real estate agencies unevenly operate and specialize across space, price and type of properties, thereby segmenting the market into submarkets. We introduce here a methodology based on mul
Externí odkaz:
http://arxiv.org/abs/2405.08398
Autor:
Cladera, Fernando, Miller, Ian D., Ravichandran, Zachary, Murali, Varun, Hughes, Jason, Hsieh, M. Ani, Taylor, C. J., Kumar, Vijay
One common and desirable application of robots is exploring potentially hazardous and unstructured environments. Air-ground collaboration offers a synergistic approach to addressing such exploration challenges. In this paper, we demonstrate a system
Externí odkaz:
http://arxiv.org/abs/2405.07169
Autor:
Li, Alice K., Mao, Yue, Manjanna, Sandeep, Liu, Sixuan, Dhanoa, Jasleen, Mehta, Bharg, Edwards, Victoria M., Ojeda, Fernando Cladera, Men, Maël Le, Sigg, Eric, Ulloa, Hugo N., Jerolmack, Douglas J., Hsieh, M. Ani
Climate change has increased the frequency and severity of extreme weather events such as hurricanes and winter storms. The complex interplay of floods with tides, runoff, and sediment creates additional hazards -- including erosion and the undermini
Externí odkaz:
http://arxiv.org/abs/2312.14248
Autor:
Bhattacharya, Anish, Madaan, Ratnesh, Cladera, Fernando, Vemprala, Sai, Bonatti, Rogerio, Daniilidis, Kostas, Kapoor, Ashish, Kumar, Vijay, Matni, Nikolai, Gupta, Jayesh K.
We present EvDNeRF, a pipeline for generating event data and training an event-based dynamic NeRF, for the purpose of faithfully reconstructing eventstreams on scenes with rigid and non-rigid deformations that may be too fast to capture with a standa
Externí odkaz:
http://arxiv.org/abs/2310.02437
TreeScope: An Agricultural Robotics Dataset for LiDAR-Based Mapping of Trees in Forests and Orchards
Autor:
Cheng, Derek, Ojeda, Fernando Cladera, Prabhu, Ankit, Liu, Xu, Zhu, Alan, Green, Patrick Corey, Ehsani, Reza, Chaudhari, Pratik, Kumar, Vijay
Data collection for forestry, timber, and agriculture currently relies on manual techniques which are labor-intensive and time-consuming. We seek to demonstrate that robotics offers improvements over these techniques and accelerate agricultural resea
Externí odkaz:
http://arxiv.org/abs/2310.02162
Autor:
Cladera, Fernando, Ravichandran, Zachary, Miller, Ian D., Hsieh, M. Ani, Taylor, C. J., Kumar, Vijay
Multi-robot collaboration in large-scale environments with limited-sized teams and without external infrastructure is challenging, since the software framework required to support complex tasks must be robust to unreliable and intermittent communicat
Externí odkaz:
http://arxiv.org/abs/2309.15975