Environmental sensor networks in ecological research
Environmental sensor networks offer a powerful combination of distributed sensing capacity,
real‐time data visualization and analysis, and integration with adjacent networks and remote …
real‐time data visualization and analysis, and integration with adjacent networks and remote …
Sensing and Artificial Perception for Robots in Precision Forestry: A Survey
Artificial perception for robots operating in outdoor natural environments, including forest
scenarios, has been the object of a substantial amount of research for decades. Regardless …
scenarios, has been the object of a substantial amount of research for decades. Regardless …
[PDF][PDF] Submodular function maximization.
Submodularity1 is a property of set functions with deep theoretical consequences and far–
reaching applications. At first glance it appears very similar to concavity, in other ways it …
reaching applications. At first glance it appears very similar to concavity, in other ways it …
[PDF][PDF] Near-optimal sensor placements in Gaussian processes: Theory, efficient algorithms and empirical studies.
When monitoring spatial phenomena, which can often be modeled as Gaussian processes
(GPs), choosing sensor locations is a fundamental task. There are several common …
(GPs), choosing sensor locations is a fundamental task. There are several common …
Efficient informative sensing using multiple robots
The need for efficient monitoring of spatio-temporal dynamics in large environmental
applications, such as the water quality monitoring in rivers and lakes, motivates the use of …
applications, such as the water quality monitoring in rivers and lakes, motivates the use of …
[PDF][PDF] Robust Submodular Observation Selection.
In many applications, one has to actively select among a set of expensive observations
before making an informed decision. For example, in environmental monitoring, we want to …
before making an informed decision. For example, in environmental monitoring, we want to …
[PDF][PDF] Near-optimal observation selection using submodular functions
A Krause, C Guestrin - AAAI, 2007 - cdn.aaai.org
AI problems such as autonomous robotic exploration, automatic diagnosis and activity
recognition have in common the need for choosing among a set of informative but possibly …
recognition have in common the need for choosing among a set of informative but possibly …
A Bayesian exploration-exploitation approach for optimal online sensing and planning with a visually guided mobile robot
We address the problem of online path planning for optimal sensing with a mobile robot. The
objective of the robot is to learn the most about its pose and the environment given time …
objective of the robot is to learn the most about its pose and the environment given time …
Bayesian optimisation for intelligent environmental monitoring
R Marchant, F Ramos - 2012 IEEE/RSJ international …, 2012 - ieeexplore.ieee.org
Environmental Monitoring (EM) is typically performed using sensor networks that collect
measurements in predefined static locations. The possibility of having one or more …
measurements in predefined static locations. The possibility of having one or more …
Submodular optimization with routing constraints
H Zhang, Y Vorobeychik - Proceedings of the AAAI conference on …, 2016 - ojs.aaai.org
Submodular optimization, particularly under cardinality or cost constraints, has received
considerable attention, stemming from its breadth of application, ranging from sensor …
considerable attention, stemming from its breadth of application, ranging from sensor …