What it does
We harvested crime data from DataLa and considered them in the path finding. Using Python and Java script we parted LA in little squares and assigned danger levels to each. Then a RRT should find the best path from the start to the goal avoiding areas with a high crime rate.
How we built it
Challenges we ran into
The work packages should be very clearly defined additionally it should be clear how results from different programming languages can be transmitted. Furthermore, if algorithms are used one should always check if there is already a widely used version somewhere in the internet. And overall, planning helps.
What we learned
Planning is important. The most work is not done after 12am. Technology to use and its connectors should be defined beforehand.