KEYWORD |
Dynamic path planning for unmanned aerial vehicles (UAV) in urban environments
Parole chiave PATH PLANNING, ROBOTICS, UAV
Riferimenti GIORGIO GUGLIERI, ALESSANDRO RIZZO
Riferimenti esterni Carlos Perez-Montenegro, DAUIN
Tipo tesi SIMULATION/ANALYSIS
Descrizione The use of unmanned aerial vehicles (UAV) in urban environments requires to consider
risks [1], one way is through the use of risk maps. These maps can be provided to the
path planning modules to generate way points to the UAV control systems.
The Path Planning block aims to dene trajectories to the vehicles. The purpose of
this proposal is to develop a dynamic path planning algorithm with trac management.
The system is developed for be implemented in cloud-computing strategy [2] and must
includes emergency routines to be launched in critical cases.
OBJECTIVES
1. Develop a dynamic path planning algorithm with trac management using risk
maps (Matlab/C++/ ROS).
2. Dene critical scenarios and develop emergency routines to be integrate to path
planning algorithm (Matlab/C++/ ROS).
References
[1] K. Dalamagkidis, K. Valavanis, and L. A. Piegl, On integrating unmanned aircraft
systems into the national airspace system: issues, challenges, operational restrictions,
certication, and recommendations, vol. 54. Springer Science & Business Media, 2011.
[2] S. Primatesta, E. Capello, R. Antonini, M. Gaspardone, G. Guglieri, and A. Rizzo,
\A cloud-based framework for risk-aware intelligent navigation in urban environ-
ments," in 2017 International Conference on Unmanned Aircraft Systems (ICUAS),
pp. 447{455, IEEE, jun 2017.
Conoscenze richieste Matlab, C++, possibly ROS
Scadenza validita proposta 10/09/2018
PROPONI LA TUA CANDIDATURA