Train in the twin. Validate before deployment.
S2P2™ Twin is the shared training and validation platform for Ride Pilot™ and RDAS™. It converts real sensor and vehicle data into reproducible scenarios, tests prediction models on edge cases, and validates releases before they return to S2P2™ Edge.
One validation platform, built for Ride Pilot™ and RDAS™.
Real-world data becomes repeatable simulation: collect, reconstruct, test, validate, and release with traceability back to the field event.
Reconstruct real-world operation
Synchronize camera, radar, IMU, vehicle state, and human inputs from Ride Pilot™ or RDAS™ into a reproducible virtual scenario.
- Time-aligned multi-sensor replay
- Rider, driver, and vehicle-state reconstruction
- Scenario variation across road and weather
- Traceability to the originating field event
Validate robotic assistance safely
Test the exact prediction and control models intended for S2P2™ Edge against rare, high-risk, and safety-critical scenarios before deployment.
- Prediction-model evaluation
- Edge-case and failure-mode discovery
- SIL / HIL closed-loop validation
- Release comparison and safety evidence
A traceable path from field data to release.
S2P2™ Twin forms the offline validation loop around Ride Pilot™ and RDAS™: field evidence enters the twin, models are challenged and measured, and approved releases return to S2P2™ Edge.
Ingest synchronized Ride Pilot™ or RDAS™ sensor, vehicle, and human-state data.
Rebuild field events as deterministic, repeatable simulation scenarios.
Challenge prediction and control models with variations and edge cases.
Measure behavior, preserve evidence, and approve releases for S2P2™ Edge.
Ready to validate Ride Pilot™ or RDAS™ in S2P2™ Twin?
Work with Automata to define scenarios, replay real-world data, and validate model changes before deployment to a supported two-wheeler or four-wheeler program.