Abstract
This paper presents a new trajectory planning method for multiple quadrotors in obstacle-dense environments. We suggest a relative safe flight corridor (RSFC) to model safe region between a pair of agents, and it is used to generate linear constraints for inter-collision avoidance by utilizing the convex hull property of relative Bernstein polynomial. Our approach employs a graph-based multi-agent pathfinding algorithm to generate an initial trajectory, which is used to construct a safe flight corridor (SFC) and RSFC. We express the trajectory as a piecewise Bernstein polynomial and formulate the trajectory planning problem into one quadratic programming problem using linear constraints from SFC and RSFC. The proposed method can compute collision-free trajectory for 16 agents within a second and for 64 agents less than a minute, and it is validated both through simulation and indoor flight test.
| Original language | English |
|---|---|
| Title of host publication | 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2019 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 596-603 |
| Number of pages | 8 |
| ISBN (Electronic) | 9781728140049 |
| DOIs | |
| State | Published - Nov 2019 |
| Event | 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2019 - Macau, China Duration: 3 Nov 2019 → 8 Nov 2019 |
Publication series
| Name | IEEE International Conference on Intelligent Robots and Systems |
|---|---|
| ISSN (Print) | 2153-0858 |
| ISSN (Electronic) | 2153-0866 |
Conference
| Conference | 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2019 |
|---|---|
| Country/Territory | China |
| City | Macau |
| Period | 3/11/19 → 8/11/19 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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