| KEYWORD |
Dynamic path planning for unmanned aerial vehicles (UAV) in urban environments
keywords PATH PLANNING, ROBOTICS, UAV
Reference persons GIORGIO GUGLIERI, ALESSANDRO RIZZO
External reference persons Carlos Perez-Montenegro, DAUIN
Thesis type SIMULATION/ANALYSIS
Description 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 de ne 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. De ne 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,
certi cation, 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.
Required skills Matlab, C++, possibly ROS
Deadline 10/09/2018
PROPONI LA TUA CANDIDATURA