Simulation-aided path planning of UAV

Authors:
Farzad Kamrani;Rassul Ayani
Affiliations:
School of Information and Communication Technology, Stockholm, SE, Sweden;School of Information and Communication Technology, Stockholm, SE, Sweden
Venue:
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
Year:
2007

Citing 1
Cited 4

A tutorial on particle filters for online nonlinear/non-GaussianBayesian tracking

IEEE Transactions on Signal Processing

Using On-line Simulation for Adaptive Path Planning of UAVs

DS-RT '07 Proceedings of the 11th IEEE International Symposium on Distributed Simulation and Real-Time Applications
UAV search strategies using Cell-DEVS

SpringSim '10 Proceedings of the 2010 Spring Simulation Multiconference
Simulation-based deadlock avoidance and optimization in bidirectional AGVS

Proceedings of the 4th International ICST Conference on Simulation Tools and Techniques
Assessing the robustness of UAV assignments

Proceedings of the Winter Simulation Conference

Quantified Score

Hi-index	0.00

Visualization

Abstract

The problem of path planning for Unmanned Aerial Vehicles (UAV) with a tracking mission, when some a priori information about the targets and the environment is available can in some cases be addressed using simulation. Sequential Monte Carlo Simulation can be used to assess the state of the system and target when the UAV reaches the area of responsibility and during the tracking task. This assessment of the future is then used to compare the impact of choosing different alternative paths on the expected value of the detection time. A path with a lower expected value of detection time is preferred. In this paper the details of this method is described. Simulations are performed by a special purpose simulation tool to show the feasibility of this method and compare it with an exhaustive search.