Information Theory, Inference & Learning Algorithms
Information Theory, Inference & Learning Algorithms
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Simulation-aided path planning of UAV
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
A tutorial on particle filters for online nonlinear/non-GaussianBayesian tracking
IEEE Transactions on Signal Processing
Symbiotic Simulation Systems: An Extended Definition Motivated by Symbiosis in Biology
Proceedings of the 22nd Workshop on Principles of Advanced and Distributed Simulation
Symbiotic Simulation Control in Semiconductor Manufacturing
ICCS '08 Proceedings of the 8th international conference on Computational Science, Part III
Preventive what-if analysis in symbiotic simulation
Proceedings of the 40th Conference on Winter Simulation
Symbiotic Simulation Model Validation for Radiation Detection Applications
PADS '09 Proceedings of the 2009 ACM/IEEE/SCS 23rd Workshop on Principles of Advanced and Distributed Simulation
Symbiotic Simulation Control in Supply Chain of Lubricant Additive Industry
DS-RT '09 Proceedings of the 2009 13th IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications
Research issues in symbiotic simulation
Winter Simulation Conference
Ad Hoc Distributed Simulation of Queueing Networks
PADS '10 Proceedings of the 2010 IEEE Workshop on Principles of Advanced and Distributed Simulation
Vision Based Tracking for a Quadrotor Using Vanishing Points
Journal of Intelligent and Robotic Systems
Statistical issues in ad hoc distributed simulations
Proceedings of the Winter Simulation Conference
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In a surveillance mission, the task of Unmanned Aerial Vehicles (UAV) path planning can in some cases be addressed using Sequential Monte Carlo (SMC) simulation. If sufficient a priori information about the target and the environment is available an assessment of the future state of the target is obtained by the SMC simulation. This assessment is used in a set of "what-if" simulations to compare different alternative UAV paths. In a static environment this simulation can be conducted prior to the mission. However, if the environment is dynamic, it is required to run the "what-if" simulations on-line i.e. in real-time. In this paper the details of this on-line simulation approach in UAV path planning is studied and its performance is compared with two other methods: an off-line simulationaided path planning and an exhaustive search method. The conducted simulations indicate that the on-line simulation has generally a higher performance compared with the two other methods.