Simulation Demos & Use Cases
Real-world scenarios recreated with high-fidelity simulation for validation, AI training, and hardware testing.
A&M SIM demonstrates the realism and accuracy of its simulation through validated use cases covering autonomous driving, complex maneuvers, and multi-sensor fusion scenarios.
Simulation of semi-truck trailer hitching maneuver under rain with pedestrian crossing. LiDAR and camera outputs reflect realistic reflections, occlusions, and wet-surface noise.
Demonstration of synchronized LiDAR, radar, and camera streams across multiple vehicles. Each sensor pipeline runs in real-time, synchronized via PTP/gPTP.
Rain, fog, and snow conditions modeled within UE5 — sensors capture varying visibility, attenuation, and reflectivity consistent with physical behavior.
Virtual GNSS signal generation and HD map alignment for testing localization algorithms under multipath and signal loss conditions.
A&M SIM has worked with OEMs, Tier-1 suppliers, and research institutions to validate perception and control systems using our simulation environment.
Validation of ADAS and Level 4+ driving stacks under dynamic conditions.
Realistic aerial perception and flight control in 3D virtual environments.
Sensor and motion planning validation in indoor and outdoor environments.
High-quality synthetic data generation for neural network training.