Abstract
|
|
---|---|
Unmanned Aerial Systems (UASs) have recently become a versatile platform for many civilian applications including inspection, surveillance and mapping. Sense-and-Avoid systems are essential for the autonomous safe operation of these systems in non-segregated airspaces. Vision-based Sense-and- Avoid systems are preferred to other alternatives as their price, physical dimensions and weight are more suitable for small and medium-sized UASs, but obtaining real flight imagery of potential collision scenarios is hard and dangerous, which complicates the development of Vision-based detection and tracking algorithms. For this purpose, user-friendly software for synthetic imagery generation has been developed, allowing to blend user-defined flight imagery of a simulated aircraft with real flight scenario images to produce realistic images with ground truth annotations. These are extremely useful for the development and benchmarking of Vision-based detection and tracking algorithms at a much lower cost and risk | |
International
|
Si |
JCR
|
Si |
Title
|
Journal of Intelligent & Robotic Systems, |
ISBN
|
0921-0296 |
Impact factor JCR
|
|
Impact info
|
|
Volume
|
|
|
|
Journal number
|
|
From page
|
xx |
To page
|
xx |
Month
|
SIN MES |
Ranking
|