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Sensor planning for a symbiotic UAV and UGV system for precision agriculture
We study two new informative path planning problems that are motivated by the use of aerial
and ground robots in precision agriculture. The first problem, termed sampling traveling …
and ground robots in precision agriculture. The first problem, termed sampling traveling …
[کتاب][B] Planning algorithms
SM LaValle - 2006 - books.google.com
Planning algorithms are impacting technical disciplines and industries around the world,
including robotics, computer-aided design, manufacturing, computer graphics, aerospace …
including robotics, computer-aided design, manufacturing, computer graphics, aerospace …
Data collection maximization in IoT-sensor networks via an energy-constrained UAV
In this paper, we study sensing data collection of IoT devices in a sparse IoT-sensor network,
using an energy-constrained Unmanned Aerial Vehicle (UAV), where the sensory data is …
using an energy-constrained Unmanned Aerial Vehicle (UAV), where the sensory data is …
A survey on algorithmic approaches for solving tourist trip design problems
The tourist trip design problem (TTDP) refers to a route-planning problem for tourists
interested in visiting multiple points of interest (POIs). TTDP solvers derive daily tourist tours …
interested in visiting multiple points of interest (POIs). TTDP solvers derive daily tourist tours …
Route planning algorithms for fleets of connected vehicles: State of the art, implementation, and deployment
The introduction of 5G technologies has enabled the possibility of designing and building
several new classes of networked information systems that were previously impossible to …
several new classes of networked information systems that were previously impossible to …
[کتاب][B] Handbook of approximation algorithms and metaheuristics
TF Gonzalez - 2007 - taylorfrancis.com
Delineating the tremendous growth in this area, the Handbook of Approximation Algorithms
and Metaheuristics covers fundamental, theoretical topics as well as advanced, practical …
and Metaheuristics covers fundamental, theoretical topics as well as advanced, practical …
Toward optimal allocation of location dependent tasks in crowdsensing
Crowdsensing offers an efficient approach to meet the demand in large scale sensing
applications. In crowdsensing, it is of great interest to find the optimal task allocation, which …
applications. In crowdsensing, it is of great interest to find the optimal task allocation, which …
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 …
Chapter 10: Vehicle routing problems with profits
10.1▪ Introduction The key characteristic of the class of Vehicle Routing Problems with Profits
(VRPPs) is that, contrary to what happens for the most classical vehicle routing problems …
(VRPPs) is that, contrary to what happens for the most classical vehicle routing problems …
[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 …