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In our research towards local planners in the acting component we found that there are numerous different kinds of local planners.
Such as TimeElasticBands, RandomTrees, DynamicWindow and many more. But also other steering controllers such as ReedsShepp-Paths or Dubin Curves.
Often there is no clear benefit in choosing one of them over the other. I therefor suggest and started implementing a Testbed for these Local Planners in order to compare them to one another.
The goal would be to have a PyGame simulation of the vehicle. A global trajectory gets produced by e.g. Acting Debug. The Local Planner acts and then steering and throttle is calculated in control package, which is then again read by the simulation.
This ensures code compatibility with other systems such as control with the lightweight nature of a performant sim in pygame which loads imeediately, can be paused /reset etc.
Definition of Done
No response
Testability
No response
Dependencies
No response
The text was updated successfully, but these errors were encountered:
Feature Description
In our research towards local planners in the acting component we found that there are numerous different kinds of local planners.
Such as TimeElasticBands, RandomTrees, DynamicWindow and many more. But also other steering controllers such as ReedsShepp-Paths or Dubin Curves.
Often there is no clear benefit in choosing one of them over the other. I therefor suggest and started implementing a Testbed for these Local Planners in order to compare them to one another.
The goal would be to have a PyGame simulation of the vehicle. A global trajectory gets produced by e.g. Acting Debug. The Local Planner acts and then steering and throttle is calculated in control package, which is then again read by the simulation.
This ensures code compatibility with other systems such as control with the lightweight nature of a performant sim in pygame which loads imeediately, can be paused /reset etc.
Definition of Done
No response
Testability
No response
Dependencies
No response
The text was updated successfully, but these errors were encountered: