Zobrazeno 1 - 10
of 130
pro vyhledávání: '"Patel, Manthan"'
Autor:
Patel, Manthan, Frey, Jonas, Atha, Deegan, Spieler, Patrick, Hutter, Marco, Khattak, Shehryar
Autonomous robot navigation in off-road environments requires a comprehensive understanding of the terrain geometry and traversability. The degraded perceptual conditions and sparse geometric information at longer ranges make the problem challenging
Externí odkaz:
http://arxiv.org/abs/2409.10940
Autor:
Zhang, Ganlin, Sandström, Erik, Zhang, Youmin, Patel, Manthan, Van Gool, Luc, Oswald, Martin R.
Recent advancements in RGB-only dense Simultaneous Localization and Mapping (SLAM) have predominantly utilized grid-based neural implicit encodings and/or struggle to efficiently realize global map and pose consistency. To this end, we propose an eff
Externí odkaz:
http://arxiv.org/abs/2403.19549
Autor:
Frey, Jonas, Patel, Manthan, Atha, Deegan, Nubert, Julian, Fan, David, Agha, Ali, Padgett, Curtis, Spieler, Patrick, Hutter, Marco, Khattak, Shehryar
Autonomous navigation at high speeds in off-road environments necessitates robots to comprehensively understand their surroundings using onboard sensing only. The extreme conditions posed by the off-road setting can cause degraded camera image qualit
Externí odkaz:
http://arxiv.org/abs/2402.19341
Collaborative SLAM is at the core of perception in multi-robot systems as it enables the co-localization of the team of robots in a common reference frame, which is of vital importance for any coordination amongst them. The paradigm of a centralized
Externí odkaz:
http://arxiv.org/abs/2301.07147
Detecting objects of interest, such as human survivors, safety equipment, and structure access points, is critical to any search-and-rescue operation. Robots deployed for such time-sensitive efforts rely on their onboard sensors to perform their desi
Externí odkaz:
http://arxiv.org/abs/2210.14997
Autor:
Zaleski, Michael H., Omo-Lamai, Serena, Nong, Jia, Chase, Liam S., Myerson, Jacob W., Glassman, Patrick M., Lee, Florence, Reyes-Esteves, Sahily, Wang, Zhicheng, Patel, Manthan N., Peshkova, Alina D., Komatsu, Hiroaki, Axelsen, Paul H., Muzykantov, Vladimir R., Marcos-Contreras, Oscar A., Brenner, Jacob S.
Publikováno v:
In Journal of Controlled Release October 2024 374:425-440
UAVs have found an important application in archaeological mapping. Majority of the existing methods employ an offline method to process the data collected from an archaeological site. They are time-consuming and computationally expensive. In this pa
Externí odkaz:
http://arxiv.org/abs/2105.07644
Autor:
Patnaik, Adarsh, Patel, Manthan, Mohta, Vibhakar, Shah, Het, Agrawal, Shubh, Rathore, Aditya, Malik, Ritwik, Chakravarty, Debashish, Bhattacharya, Ranjan
This article is an overview of the various literature on path tracking methods and their implementation in simulation and realistic operating environments.The scope of this study includes analysis, implementation,tuning, and comparison of some select
Externí odkaz:
http://arxiv.org/abs/2012.02978
The efficiency of the stock market has a significant impact on the potential return on investment. An efficient market eliminates the possibility of arbitrage and unexploited profit opportunities. This study analyzes the weak form efficiency of the I
Externí odkaz:
http://arxiv.org/abs/2012.01160
Publikováno v:
In Procedia Computer Science 2024 233:175-183