Zobrazeno 1 - 10
of 84
pro vyhledávání: '"Kevin Kochersberger"'
Publikováno v:
Remote Sensing, Vol 14, Iss 19, p 4952 (2022)
With natural disasters continuing to become more prevalent in recent years, the need for effective disaster management efforts becomes even more critical. Specifically, flooding is an extremely common natural disaster which can cause significant dama
Externí odkaz:
https://doaj.org/article/53d47fcc22514b9da2da6a5c6e7522e4
Autor:
Brian Cèsar-Tondreau, Garrett Warnell, Ethan Stump, Kevin Kochersberger, Nicholas R. Waytowich
Publikováno v:
Frontiers in Robotics and AI, Vol 8 (2021)
Autonomous navigation to a specified waypoint is traditionally accomplished with a layered stack of global path planning and local motion planning modules that generate feasible and obstacle-free trajectories. While these modules can be modified to m
Externí odkaz:
https://doaj.org/article/e75f7f4fe8da4a55bf14310d5c1ea47e
Publikováno v:
Robotics, Vol 11, Iss 4, p 67 (2022)
Current research in experimental robotics has had a focus on traditional, cost-based, navigation methods. These methods ascribe a value of utility for occupying certain locations in the environment. A path planning algorithm then uses this cost funct
Externí odkaz:
https://doaj.org/article/6b41176319354dfdb2b7df60bd4d97b6
Drone-Based Community Assessment, Planning, and Disaster Risk Management for Sustainable Development
Publikováno v:
Remote Sensing, Vol 13, Iss 9, p 1739 (2021)
Accessible, low-cost technologies and tools are needed in the developing world to support community planning, disaster risk assessment, and land tenure. Enterprise-scale geographic information system (GIS) software and high-resolution aerial or satel
Externí odkaz:
https://doaj.org/article/b218df743fa8440881f9b5a2e0b87492
Publikováno v:
Remote Sensing, Vol 12, Iss 11, p 1724 (2020)
This paper introduces a novel protocol for managing low altitude 3D aeronautical chart data to address the unique navigational challenges and collision risks associated with populated urban environments. Based on the Open Geospatial Consortium (OGC)
Externí odkaz:
https://doaj.org/article/0d6aeb41d3a4410d8da0740e7cf9f1d3
Publikováno v:
Remote Sensing, Vol 4, Iss 7, Pp 1995-2015 (2012)
Recent events have highlighted the need for unmanned remote sensing in dangerous areas, particularly where structures have collapsed or explosions have occurred, to limit hazards to first responders and increase their efficiency in planning response
Externí odkaz:
https://doaj.org/article/397239ed06f64d8690a2a0e64601ef1c
Publikováno v:
Sensors, Vol 18, Iss 2, p 630 (2018)
This work presents a collaborative unmanned aerial and ground vehicle system which utilizes the aerial vehicle’s overhead view to inform the ground vehicle’s path planning in real time. The aerial vehicle acquires imagery which is assembled into
Externí odkaz:
https://doaj.org/article/67f58665e9bd4f84b6bf5679d2091ff3
Publikováno v:
Crop Science. 61:3134-3144
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::79a462dc8c3b1c1e5c2aa9b9ec3085b0
https://doi.org/10.1002/csc2.20623
https://doi.org/10.1002/csc2.20623
Publikováno v:
Journal of Aerospace Information Systems. 18:645-658
Two image-based sensing methods are merged to mimic human vision in support of airborne detect-and-avoid and counter–unmanned aircraft systems applications. In the proposed sensing system architect...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::355c9d92a4585b55f97ce2fbfe4bd516
https://doi.org/10.2514/1.i010909
https://doi.org/10.2514/1.i010909
Online Aerial 2.5D Terrain Mapping and Active Aerial Vehicle Exploration for Ground Robot Navigation
Publikováno v:
Journal of Intelligent & Robotic Systems. 106
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::594d95d8894b577533a6df9ebb09196a
https://doi.org/10.1007/s10846-022-01751-9
https://doi.org/10.1007/s10846-022-01751-9