Is your feature request related to a problem?
Efficient spatial sensor fusion e.g. LIDAR / RF / UWB etc requires processing enormous data, but conventional
topological data structure e.g Simplical Complexes are too inefficient for that.
Describe the solution you'd like
Add Cubical Complexes for more efficient processing of spatial sensor fusion.
Describe alternatives you've considered
You could do something like polygon meshes, but that would require an enormous GPU which limits adoption.
Additional context
This feature request resulted from a Discord discussion related to advanced sensor fusion in the Service Radar project following their adoption of DeepCausality for topological network analysis.
Is your feature request related to a problem?
Efficient spatial sensor fusion e.g. LIDAR / RF / UWB etc requires processing enormous data, but conventional
topological data structure e.g Simplical Complexes are too inefficient for that.
Describe the solution you'd like
Add Cubical Complexes for more efficient processing of spatial sensor fusion.
Describe alternatives you've considered
You could do something like polygon meshes, but that would require an enormous GPU which limits adoption.
Additional context
This feature request resulted from a Discord discussion related to advanced sensor fusion in the Service Radar project following their adoption of DeepCausality for topological network analysis.