Soterea Autonobox
2016
Soterea develops safety devices for commercial vehicles. The Autonobox was a product mounted to the front of large trucks to predict a possible collision and automatically brake the truck before the collision occurs. The product consisted of a radar array attached to the front of the truck and controllers linked to the braking system. I worked on the algorithm testing framework for evaluating multiple algorithms against many different possible scenarios. I developed a file format and language for encoding scenarios to be tested. I rewrote the scenario visualization GUI in Python which was previously written in Java. I produced multiple algorithms for predicting collisions given the radar input data and successfully tested them against the set of developed scenarios. I also contributed to the C software compiled for the microcontroller which ran the Autonobox product.
Tools: C, C++, Python, Qt, Git
Website: http://www.soterea.com/