Autonomous Vehicle Simulation Testing
I build the virtual test scenarios and environments that check how Forterra's autonomy software behaves across its real-world vehicle fleet, so problems show up in simulation before they show up in the field.
What I do
- Scenario design. Create virtual testing scenarios and environments that exercise autonomous behavior on and off road.
- Simulation engine work. Build on a custom engine based on CARLA, using Lua, Python, Unreal Blueprints and vehicle physics.
- Fleet coverage. Develop tests across many of Forterra's real-world vehicles.
- Requirements validation. Check software requirements against real-world metrics.
- Defect analysis. Dig through run data to find patterns that point to defects, and report issues to the development teams.
- Automated reporting. Automate verification reports so autonomy developers get answers faster.
Why it matters
Forterra's autonomy stack runs on military and commercial vehicles, from logistics trucks to armored vehicles. Simulation lets the team test far more situations than field time allows, and repeat any one of them exactly. Forterra has said it wants one view across simulation, hardware-in-the-loop and vehicle tests, and that is the loop my work feeds.
Autonomous Vehicle Simulation Testing – Forterra
Create virtual testing scenarios and environments to evaluate autonomous system behavior across Forterra's real-world vehicle fleet, using a custom simulation engine built on CARLA with Lua, Python, Unreal Blueprints, and physics. Validate software requirements against real-world metrics, analyze data patterns to find defects, and automate verification reporting to speed up feedback loops.