Hi everyone,
First of all I would like to congratulate the winners and to thank organisers for such an interesting challenge! For my opinion, it has gone quite smooth and 5 submissions per day were just enough. I’m looking forward to seeing the private leaderboard scores even though Martin mentioned that positions seems remain the same. Congratulations to the ck.ua team who managed to achieve excellent result below 100m! The nwpu.i4Sky team and ZAViators showed also great scores and were very close.
Personally, I was surprised how many stations can potentially be used after synchronization, though it requires data “from the future”. Before starting to work on the round 2 solution, I estimated that 70% of test tracks is achievable with accuracy below 100m. It was fun to get about 71% coverage after synchronization of 240 stations - maximum that the method I developed allowed. For my opinion, 90% can still be reachable though with much lower accuracy.
Regarding the third round, the main challenge there would be to predict stations calibration in the future, I assume. A training dataset may contain tracks, for example, only for the first half an hour or one hour while predictions should be made for the other (half an hour?) part. In order to make sure that participants don’t use data from the future, organisers may provide a function which generates points for a given aircraft one by one. Such a function could be mandatory to use by participants and during solution verification at the end of the competition. There are only a couple of questions here:
- whether it would be allowed to update previously predicted points for a given aircraft or not?
- how not to use points for other aircrafts from the future for predictions for a given one?
Thanks,
Sergei