Challenge Results

2017 CAT Vehicle Challenge Results

Visible to the public 

The participants in this challenge were:

Team Sensors Languages Velocity Ctrl Score
ETH Laser, Camera, Lidar Python, C++, MATLAB No 4
MST Laser Simulink, C++ No 3
KSU Lidar C++ No 2
UofA Laser Simulink, C++ No 1
Bio-Bio Laser, Camera Simulink Yes 0*

* The Chilean team failed through no fault of their own. A hardware failure in the vehicle's binocular camera rendered their innovative solution ineffective.
** See the previous menu item titled Scoring Rubric for an explanation of the "Score" number.

The Winning Entry by ETH Zurich