Zobrazeno 1 - 10
of 76
pro vyhledávání: '"Nina Mahmoudian"'
Autor:
Zihan Wang, Nina Mahmoudian
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 4755-4766 (2023)
Classification of aerial imagery is essential for water channel surveillance and waterfront land cover characterization. It is also beneficial to long-duration collaborative autonomous navigation of both unmanned aerial vehicles (UAVs) and autonomous
Externí odkaz:
https://doaj.org/article/53321c0432da47f0b9bdfddffdb3c97f
Publikováno v:
Sensors, Vol 23, Iss 7, p 3572 (2023)
This work presents a framework that allows Unmanned Surface Vehicles (USVs) to avoid dynamic obstacles through initial training on an Unmanned Ground Vehicle (UGV) and cross-domain retraining on a USV. This is achieved by integrating a Deep Reinforce
Externí odkaz:
https://doaj.org/article/0ac5030034084f5c98f4c055685600a0
Publikováno v:
Frontiers in Robotics and AI, Vol 8 (2021)
This paper presents a framework to alleviate the Deep Reinforcement Learning (DRL) training data sparsity problem that is present in challenging domains by creating a DRL agent training and vehicle integration methodology. The methodology leverages a
Externí odkaz:
https://doaj.org/article/6b42ca4c59de43a9a9d2da7ce975e31e
Publikováno v:
Sensors, Vol 22, Iss 13, p 4681 (2022)
Obstacle detection for autonomous navigation through semantic image segmentation using neural networks has grown in popularity for use in unmanned ground and surface vehicles because of its ability to rapidly create a highly accurate pixel-wise class
Externí odkaz:
https://doaj.org/article/0e3ceee294b24390a15aaabc75ae6dc1
Publikováno v:
Frontiers in Robotics and AI, Vol 8 (2021)
One of the main limiting factors in deployment of marine robots is the issue of energy sustainability. This is particularly challenging for traditional propeller-driven autonomous underwater vehicles which operate using energy intensive thrusters. On
Externí odkaz:
https://doaj.org/article/caf15abb4eaf4cd591461d47a465d884
Autor:
Brian R. Page, Reeve Lambert, Nina Mahmoudian, David H. Newby, Elizabeth L. Foley, Thomas W. Kornack
Publikováno v:
Sensors, Vol 21, Iss 4, p 1092 (2021)
This paper presents results from the integration of a compact quantum magnetometer system and an agile underwater glider for magnetic survey. A highly maneuverable underwater glider, ROUGHIE, was customized to carry an increased payload and reduce th
Externí odkaz:
https://doaj.org/article/ee8eb3d4f6d64f8293bcd778f31e06f2
Publikováno v:
Sensors, Vol 18, Iss 11, p 3859 (2018)
This work studies online learning-based trajectory planning for multiple autonomous underwater vehicles (AUVs) to estimate a water parameter field of interest in the under-ice environment. A centralized system is considered, where several fixed acces
Externí odkaz:
https://doaj.org/article/740a8f35255f487ba6aaaf5862ed22cf
Path Following Using Rendezvous Dubins Curves and Integral Line-of-Sight for Unmanned Marine Systems
Publikováno v:
Field Robotics. 2:1920-1942
Accurately following a prescribed path is critical for safe and efficient operation of autonomous systems in the field, especially for marine robots that typically operate away from human support and with sporadic communication abilities. Traditional
Publikováno v:
IFAC-PapersOnLine. 55:288-294
Publikováno v:
2023 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW).