InertialSim
InertialSim offers fast, high‑accuracy modeling and simulation tools for inertial sensors and systems, enabling developers to create, test, and analyze motion‑tracking applications in virtual environments. The platform provides both Python and C++ APIs, along with reference examples, so engineers can integrate realistic sensor behavior into their designs without needing physical hardware. It streamlines the development cycle for robotics, AR/VR, and navigation projects.
- Developer Tools
Funding
Founders
Product
Problem
Developers of motion‑tracking systems often lack realistic, high‑performance tools to model inertial sensors and their interaction with vehicle dynamics, Earth’s rotation, and gravity. Without accurate simulation, hardware prototypes are costly and software validation is time‑consuming.
Solution
InertialSim offers a fast, physics‑based simulation engine for accelerometers, gyroscopes, magnetometers, and full IMU/INS configurations. The platform provides both a Python API and a C++ library, enabling seamless integration into custom development pipelines and automated testing frameworks. Users can input kinematic or pose data from simulations or recorded logs and obtain realistic sensor streams that incorporate Earth‑model effects, sensor noise, bias, and drift. The modular architecture includes geodesy, geometry, and device models, allowing precise configuration of sensor specifications and environmental conditions. By delivering deterministic and headless simulation modes, InertialSim supports large‑scale batch testing and continuous integration for motion‑tracking applications.
Target Audience
Primary customers are engineers and researchers developing robotics, autonomous vehicles, aerospace navigation, and AR/VR motion‑tracking systems who require accurate inertial sensor simulation.
Features
- Python and C++ APIs with comprehensive modules for geometry, geodesy, devices, and sensors
- Realistic sensor models that simulate noise, bias, drift, and Earth rotation/gravity effects
- Support for virtual accelerometer, gyro, magnetometer, IMU, and full INS pipelines
- Deterministic and headless simulation modes for automated testing and CI/CD integration
- Ability to ingest kinematic, dynamic, or pose data from simulations or recorded logs
- Extensible symbolic tools for custom sensor behavior and analysis