An Interactive Scene-centric Testing Platform for Autonomous Driving Vehicles in Unstructured Map Scenarios

LoopX plans to have their intern develop a virtual testing platform in a simulated software program, where the robots mining vehicles with the autonomous driving algorithms that are meant to drive in mines can be put through their paces. These robot mining vehicles are expected to handle complex mining-specific situations, but mines are tricky places with lots of unexpected challenges. By doing extensive tests with sirmulated complex scenarios, LoopX can make sure these autonomous driving algorithms enable the robot vehicles to make the right decisions and navigate themselves, simultaneously, in mines and still obey the mining traffic rules. it’s crucial because it’ll help LoopX ensure that their algorithms are both safe to use and good at their jobs before they ever hit the ground rolling in real mines.

Faculty Supervisor:

Krzysztof Czarnecki

Student:

Partner:

LoopX AI

Discipline:

Engineering

Sector:

Manufacturing; Mining

University:

University of Waterloo

Program:

Accelerate

Current openings

Find the perfect opportunity to put your academic skills and knowledge into practice!

Find Projects