Results 131 to 140 of about 13,128 (278)

Integrating habitat suitability, socioeconomics, and infrastructure to assess global biological invasion risk under climate change: A case study of the rice stem borer, Chilo suppressalis

Pest Management Science, EarlyView.
We developed an invasion risk index framework that integrates socioeconomic and environmental data using an entropy‐weighting method. The case study highlights the need for region‐specific biosecurity measures for Chilo suppressalis. Abstract BACKGROUND Biological invasion risk is a multifaceted concept that, according to the Food and Agriculture ...
Jinsol Hong, Minyoung Lee, Yongeun Kim, Yun‐Sik Lee, June Wee, Jaejun Song, Taewoo Kim, Jung‐Joon Park, Florian Kraxner, Woo‐Kyun Lee, Youngil Song, Kijong Cho   +11 more
wiley   +1 more source

Enabling Under Ice Glider Operations: A Backseat Driver Approach

Journal of Field Robotics, EarlyView.
ABSTRACT Polar Oceans are key locations for forcing global ocean circulation, influencing both global climate and biogeochemical cycles. Due to restricted access to these seasonally and perennially ice‐covered regions, these areas are severely undersampled.
Yaomei Wang, Benjamin Allsup, Georgios Salavasidis, Stephen Woodward, Adeniyi Adenaya, Mike Smart, Alexis Johnson, Felipe Marques Dos Santos, Jake Ludgate, Daniel Matterson, Alvaro Lorenzo, J. Alexander Brearley, Alexander Brian Phillips   +12 more
wiley   +1 more source

GPS-MTM: Capturing Pattern of Normalcy in GPS-Trajectories with self-supervised learning

CoRR
Foundation models have driven remarkable progress in text, vision, and video understanding, and are now poised to unlock similar breakthroughs in trajectory modeling. We introduce the GPSMasked Trajectory Transformer (GPS-MTM), a foundation model for large-scale mobility data that captures patterns of normalcy in human movement. Unlike prior approaches
Umang Garg, Bowen Zhang, Anantanjit Subrahmanya, Chandrakanth Gudavalli, B. S. Manjunath   +4 more
openaire   +2 more sources

Virtual Elastic Tether: A New Approach for Multi‐Agent Navigation in Confined Aquatic Environments

Journal of Field Robotics, EarlyView.
ABSTRACT Underwater navigation is a challenging area in the field of mobile robotics due to inherent constraints in self‐localization and communication in underwater environments. Some of these challenges can be mitigated by using collaborative multi‐agent teams.
Kanzhong Yao, Xueliang Cheng, Keir Groves, Barry Lennox, Ognjen Marjanovic, Simon Watson   +5 more
wiley   +1 more source

Inertial navigation system data filtering prior to GPS/INS integration

, 2009
[EN] In the integration of Global Positioning System (GPS) and Inertial Navigation System (INS), the commonly used Kalman filter provides satisfactory results if both sources of information are continuously available.
Garrigues Talens, Pascual, Lerma, José Luis, Baselga Moreno, Sergio, García-Asenjo Villamayor, Luis   +3 more
core   +1 more source

Control System for the Navigation of the Agricultural Robots: A Review

Journal of Field Robotics, EarlyView.
ABSTRACT Control systems for the navigation of autonomous agricultural robots—particularly those operating in uneven terrain and in the presence of static or dynamic obstacles—have advanced considerably in recent years. As conventional machinery evolves toward increasingly automated systems, the design of reliable navigation controllers has become ...
Edna Carolina Moriones Polanía, Hugo Rafacho Fernandes, Daniel Albiero, Angel Pontin Garcia   +3 more
wiley   +1 more source

Interferometric baseline performance estimations for multistatic synthetic aperture radar configurations derived from GRACE GPS observations

, 2006
Recent studies have demonstrated the usefulness of global positioning system (GPS) receivers for relative positioning of formation-flying satellites using dual-frequency carrier-phase observations. The accurate determination of distances or baselines
D'Amico, Simone, Kohlhase, A. O., Kroes, R.   +2 more
core   +1 more source

Redefining Optimal Coverage Path Planning for FLS‐Equipped AUVs With Deep Reinforcement Learning

Journal of Field Robotics, EarlyView.
ABSTRACT Autonomous Underwater Vehicles (AUVs) have emerged as indispensable tools for a variety of subsea tasks, from habitat monitoring and seabed mapping to infrastructure inspection and mine countermeasures. A fundamental challenge in this field is Coverage Path Planning (CPP), the problem of ensuring complete and efficient area coverage.
Lorenzo Cecchi, Alberto Topini, Alessandro Bucci, Alessandro Ridolfi   +3 more
wiley   +1 more source

Automated Lawn Maintenance: An Agronomic and Operational Review of Turf Health, Biodiversity, and Field Performance

Journal of Field Robotics, EarlyView.
ABSTRACT Grass mowing is one of the most resource‐consuming activities in green maintenance, whether in private areas such as home gardens or in public spaces like urban parks. In recent years, concerns related to climate change, human health, and sustainability have become increasingly prominent in green maintenance, leading manufacturers and industry
Andrea Palladini, Lorenzo Guerrini, Marco Fontanelli, Lucia Bortolini   +3 more
wiley   +1 more source

Probabilistic map-matching for low-frequency GPS trajectories [PDF]

, 2017
The ability to infer routes taken by vehicles from sparse and noisy GPS data is of crucial importance in many traffic applications. The task, known as map-matching, can be accurately approached by a popular technique known as ST-Matching.
Kempinska, K, Davies, T, Shawe-Taylor, J
core