Simulation & System Solutions
High-fidelity real-time simulation for sensors, vehicles, and control systems — unified in one platform.
The A&M SIM Platform is a high-performance, real-time simulation ecosystem designed to support the complete lifecycle of autonomous system development. It provides seamless integration of physics-based vehicle dynamics, sensor simulation, and hardware interfaces — all synchronized under one unified framework.
Our architecture enables scalable multi-machine deployment, real-time synchronization across simulation nodes, and native Unreal Engine 5 integration for high-fidelity rendering.
A&M SIM’s modular architecture connects real-time physics engines, sensor rendering modules, and HIL interfaces through a deterministic network synchronization layer. Each subsystem runs independently on dedicated compute nodes but operates under unified time control.
Our vehicle dynamics engine provides high-fidelity modeling of longitudinal, lateral, and vertical motion using validated C++ and Simulink modules. Models are parameterized by vehicle geometry, tire data, and suspension configuration, ensuring accuracy in steering, braking, and acceleration behavior.
A&M SIM provides high-fidelity virtual sensors capable of producing realistic perception data under various environmental conditions. Each sensor module is physically accurate and can be validated against real sensor output for noise, delay, and distortion patterns.
The A&M SIM platform supports full real-time HIL integration for testing ECUs, controllers, and perception systems under realistic conditions. Real sensors and control hardware can be connected through various high-speed interfaces, ensuring deterministic communication and signal integrity.
Built upon Unreal Engine 5, A&M SIM offers photorealistic rendering and environment simulation with dynamic lighting, weather effects, and road friction modeling. Custom UE5 C++ plugins allow seamless data exchange between simulation modules and sensor renderers, supporting both visual realism and physical accuracy.
Our distributed architecture scales efficiently across CPU and GPU nodes, allowing users to simulate large sensor networks in real time. Each module operates independently but remains synchronized, ensuring deterministic behavior across the full simulation pipeline.