Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Stephen Nuske"'
Publikováno v:
Sensors, Vol 17, Iss 1, p 11 (2016)
State estimation is the most critical capability for MAV (Micro-Aerial Vehicle) localization, autonomous obstacle avoidance, robust flight control and 3D environmental mapping. There are three main challenges for MAV state estimation: (1) it can deal
Externí odkaz:
https://doaj.org/article/e208858961b14ce68f1cab6ce767e802
Autor:
Stephen Nuske
Dynamic non-uniform lighting conditions, prevalent in many field robot applications, cause drastic changes in the visual information captured by camera images, resulting in major difficulties for mobile robots attempting to localise visually. Most cu
Externí odkaz:
http://espace.library.uq.edu.au/view/UQ:157796
Publikováno v:
Australian Journal of Grape and Wine Research. 25:144-155
Crop load, the ratio of vine size to mass of fruit harvested, is fundamental to viticulture. Measuring vine size and crop yield, the components of crop load, has historically been a labour intensive exercise that has limited the use of crop load info
Publikováno v:
ICMLA
Extensive genetic and phenotypic research is necessary for any effective plant breeding program. Such studies, however, require an immense amount of time and resources. In order to expedite the breeding process, we provide a novel method for rapid ge
Autor:
Silvio M. Maeta, Yu Zhang, Stephan Roth, Sezal Jain, Stephen Nuske, Shichao Yang, Sebastian Scherer, Geetesh Dubey, Zheng Fang
Publikováno v:
Journal of Field Robotics. 34:25-52
This paper addresses the problem of autonomous navigation of a micro aerial vehicle MAV for inspection and damage assessment inside a constrained shipboard environment, which might be perilous or inaccessible for humans, especially in emergency scena
Autor:
Seiji Tamiya, Kentaro Nishiwaki, Ryo Sugiura, Masayuki Hirafuji, Yukinori Shibuya, Shogo Tsuda, Atsushi Itoh, Stephen Nuske, Noriyuki Murakami
Publikováno v:
SC30201706140010
In tests for field resistance of potato (Solanum tuberosum L.) to late blight, crop scientists rate the disease severity exclusively using visual examinations of infections on the leaves. However, this visual assessment is generally time-consuming an
Publikováno v:
IFAC-PapersOnLine. 49:79-84
Knowledge on berry size in grape vineyards can be a great asset for growers to help manage their crop whether for yield assessment or grape quality control. Having the ability to size berries of an entire field would allow growers to effectively moni
Autor:
Zania Pothen, Stephen Nuske
Publikováno v:
IFAC-PapersOnLine. 49:72-78
The harvest operation for table-grapes and fresh market horticultural fruits is a large and expensive logistical challenge with the choice of harvest dates and locations playing a crucial role in determining the quality of the yield and in determinin
Autor:
Lyle Chamberlain, Sezal Jain, Luke Yoder, Andrew Chambers, Stephen Nuske, Sebastian Scherer, Hugh Cover, Sanjiban Choudhury, Sanjiv Singh
Publikováno v:
Journal of Field Robotics. 32:1141-1162
Mapping a river's geometry provides valuable information to help understand the topology and health of an environment and deduce other attributes such as which types of surface vessels could traverse the river. While many rivers can be mapped from sa
Publikováno v:
Field and Service Robotics ISBN: 9783319673608
FSR
FSR
Recently, a body of computer vision research has studied the task of high-throughput plant phenotyping (measurement of plant attributes). The goal is to more rapidly and more accurately estimate plant properties as compared to conventional manual met
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aabb16979df517c6a36dafd231c1e254
https://doi.org/10.1007/978-3-319-67361-5_18
https://doi.org/10.1007/978-3-319-67361-5_18