Abstract
In this paper, RRT∗ algorithm is applied to the navigation of UAV for tracking a target in obstacle environment. Planning route generated by RRT∗ algorithm used for flight control of UAV. RRT∗ algorithm is extended to include a track mission considering differential constraints of Quadrotor and the cluttered environment. Paper presents the algorithm flow of RRT∗ and the dynamic models of UAV. Simulation results show that UAV combined with RRT∗ planner can achieve track task successfully in complex environments.
Original language | English |
---|---|
Title of host publication | 2017 7th International Conference on Power Electronics Systems and Applications - Smart Mobility, Power Transfer and Security, PESA 2017 |
Editors | K.W. Eric Cheng |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 1-4 |
Number of pages | 4 |
ISBN (Electronic) | 9781538613863 |
DOIs | |
State | Published - 2 Jul 2017 |
Externally published | Yes |
Event | 7th International Conference on Power Electronics Systems and Applications - Smart Mobility, Power Transfer and Security, PESA 2017 - Hong Kong, Hong Kong Duration: 12 Dec 2017 → 14 Dec 2017 |
Publication series
Name | 2017 7th International Conference on Power Electronics Systems and Applications - Smart Mobility, Power Transfer and Security, PESA 2017 |
---|---|
Volume | 2018-January |
Conference
Conference | 7th International Conference on Power Electronics Systems and Applications - Smart Mobility, Power Transfer and Security, PESA 2017 |
---|---|
Country/Territory | Hong Kong |
City | Hong Kong |
Period | 12/12/17 → 14/12/17 |
Keywords
- Obstacle environment
- RRT∗ Algorithm
- Target tracking
- UAV