Drones Path-Planning using Quantum Computing background cover

qinnovision-world-challenge-2025 / Drones Path-Planning using Quantum Computing

Posted 2y ago

Data and Evaluation Protocol

Hi organizers,

The problem definition really sounds to me.
However, I have concerns regarding to data and evaluation protocol.

What kind of data will be used for this problem? Do you have any specific which dataset we should run the experiments on?
How do the organizers evaluate our method? What criteria/metrics should be considered?

I am looking forward to hearing from you.
Best,

Order by:

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ngxbac

Posted 2y ago

Data and Evaluation Protocol

Hi organizers,

The problem definition really sounds to me.
However, I have concerns regarding to data and evaluation protocol.

What kind of data will be used for this problem? Do you have any specific which dataset we should run the experiments on?
How do the organizers evaluate our method? What criteria/metrics should be considered?

I am looking forward to hearing from you.
Best,

Order by:

Posted by barbaresco • 2y ago

OK, I will provide a dataset (3D urban model) with initial/final position of drone.
Metric will be the shortest path.

Posted by makansij • 2y ago

What metrics will be used to evaluate our submission?

Posted by julian • 2y ago

Hi @makansij! The score is specifically calculated as haversine_distance(start, end) / total_haversine_distance(your_solution)

Posted by RMTboy • 2y ago

the minimisation of the total distance, see the metric function in the file use-case.py

Posted by kraji • 2y ago (edited)

@ngxbac all metrics and data have been added :) check in the code tab!

Posted by ngxbac • 2y ago

Hi @kraji,

Thanks for your update. Appreciate that.
I do see the submission, use_case on the code tab, but the data is recently empty. Is it expected?

Posted by julian • 2y ago

Hi @ngxbac! The new use_case template should hopefully provide some help https://aqora.io/competitions/drone-path-qinnovision/code/template/blob/submission/solution.ipynb. You are given a start and end points and a list of polygons given by use_case.obstacles. You then need to calculate the shortest path and return a list of points along that path starting with the start point and ending with the end point without intersecting the polygons

Posted by stubbi • 2y ago

@julian could you help out here?

Posted by kraji • 2y ago

@barbaresco is the right person to reply to this!

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Posted by barbaresco • 2y ago

OK, I will provide a dataset (3D urban model) with initial/final position of drone.
Metric will be the shortest path.

Posted by makansij • 2y ago

What metrics will be used to evaluate our submission?

Posted by julian • 2y ago

Hi @makansij! The score is specifically calculated as haversine_distance(start, end) / total_haversine_distance(your_solution)

Posted by RMTboy • 2y ago

the minimisation of the total distance, see the metric function in the file use-case.py

Posted by kraji • 2y ago (edited)

@ngxbac all metrics and data have been added :) check in the code tab!

Posted by ngxbac • 2y ago

Hi @kraji,

Thanks for your update. Appreciate that.
I do see the submission, use_case on the code tab, but the data is recently empty. Is it expected?

Posted by julian • 2y ago

Posted by stubbi • 2y ago

@julian could you help out here?

Posted by kraji • 2y ago

@barbaresco is the right person to reply to this!