Abstract
Many hybrid UAVs capable of vertical takeoff and landing (VTOL) and fixed-wing flight are being introduced for their maneuverability, efficiency and high cruise speed. The benefits of these systems can be exploited effectively using task planning frameworks tailored to their unique properties. To address this need, we present a motion planning strategy for these hybrid UAVs in cluttered urban settings. After dividing the flight into three phases of takeoff, cruise and landing, we solve each of the ensuing motion planning problems using Stable Sparse RRT motion planner. We employ a Dubin's vehicle based model because it offers a balanced trade-off between computational simplicity and accurate simulation of real-world behavior. Simulation experiments conducted in a dense urban setting (downtown Chicago) show the efficacy of our approach.
Original language | English |
---|---|
Title of host publication | 2017 IEEE International Conference on Advanced Intelligent Mechatronics, AIM 2017 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 1627-1632 |
Number of pages | 6 |
ISBN (Electronic) | 9781509059980 |
DOIs | |
Publication status | Published - Aug 21 2017 |
Event | 2017 IEEE International Conference on Advanced Intelligent Mechatronics, AIM 2017 - Munich, Germany Duration: Jul 3 2017 → Jul 7 2017 |
Conference
Conference | 2017 IEEE International Conference on Advanced Intelligent Mechatronics, AIM 2017 |
---|---|
Country | Germany |
City | Munich |
Period | 7/3/17 → 7/7/17 |
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Control and Systems Engineering
- Computer Science Applications
- Software