The event data created for this competition is derived from a simplified radiation transport model – a street without parked cars, pedestrians, or other ‘clutter’, a constant search vehicle speed with no stoplights, and no vehicles surrounding the search vehicle. In fact, the search vehicle itself is not even in the model – the detector is moving down the street by itself, 1 meter off the ground. This simple model provides a starting point for comparing detection algorithms at their most basic level.

Objective

The data provided are separated into two sets: a training set for which a file with the correct answers (source type, time at which the detector was closest to the source) is also provided, and a test set for which you will populate and submit an answers file for online scoring. For each run in the test set, you’ll use your detection algorithm on the event data to determine (1) whether there is a non-natural extraneous source along the path (the detection component), and if so, (2) what type of source it is (identification) and (3) at what point the detector was closest to it during the run (location — which in this competition will be reported in seconds from the start of the run).