HIGH-SPEED, SAFETY-CRITICAL AUTONOMOUS DRIVING: HOW ACCURATE VEHICLE DYNAMICS SIMULATION ENABLE AUTONOMOUS HIGHWAY EDGE CASES MANAGEMENT
Deploying an autonomous vehicle on public highways is not just a software problem. It is a vehicle dynamics problem. Aidoptation develops autonomous driving software with a single focus: highway edge case management. The scenarios where a vehicle must autonomously execute emergency obstacle avoidance at the physical limits of handling, on any road surface, at any speed where those situations actually occur.
That focus makes high-fidelity simulation a non-negotiable foundation, not a convenience. You cannot build and validate limit-handling behaviour on a real road. The scenarios are too rare, too dangerous, and too difficult to reproduce with the consistency that systematic software development requires. Using VI-Grade's vehicle dynamics environment as the core of our SIL and HIL pipelines, we validate emergency evasion trajectories, grip-aware path planners, and combined dynamics controllers across a systematic matrix of highway scenarios, surface conditions, and obstacle configurations.
This talk outlines how we structure that pipeline, what fidelity requirements actually matter when operating at the handling limit, and why closing the loop between simulator and real vehicle is not just good engineering practice but the only credible path to public road authorization for a system that has to get it right the first time.
