Abstract
A method of collision avoidance is described by using simple geometric approach. Two UAVs are dealt with and considered as point masses with constant velocity. This paper discusses en route aircraft which are assumed to be linked by real time data bases like ADS-B. With this data base, all UAVs share the information each other. Calculating PCA (Point of Closest Approach), we can evaluate the worst conflict condition between two UAVs. This paper proposes one resolution maneuvering logic, which can be called 'Vector Sharing Resolution'. In case of conflict, using miss distance vector in PCA, we can decide the directions for two UAVs to share the conflict region. With these directions, UAVs are going to maneuver cooperatively. First of all, this paper describes some '2-D' conflict scenarios and then extends to '3-D' conflict scenarios.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of SICE Annual Conference 2008 - International Conference on Instrumentation, Control and Information Technology |
| Pages | 2122-2126 |
| Number of pages | 5 |
| DOIs | |
| State | Published - 2008 |
| Event | SICE Annual Conference 2008 - International Conference on Instrumentation, Control and Information Technology - Tokyo, Japan Duration: 20 Aug 2008 → 22 Aug 2008 |
Publication series
| Name | Proceedings of the SICE Annual Conference |
|---|
Conference
| Conference | SICE Annual Conference 2008 - International Conference on Instrumentation, Control and Information Technology |
|---|---|
| Country/Territory | Japan |
| City | Tokyo |
| Period | 20/08/08 → 22/08/08 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Cooperative collision avoidance
- Point of Closest Approach (PCA)
- Sphere protected zone
- Vector Sharing Resolution
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