Transform textual context into complete ADAS/AD testing environments.
Developing and validating ADAS/AD systems requires massive amounts of diverse, labeled scenario data. Traditional methods are expensive, time-consuming, and limited by real-world constraints. Available market products are prone to hallucinations as well as they dont provide enough control over the dimensional complexity of the created data.
R7SimSens addresses the challenge through physical AI based simulation editing framework, enabling precise editing at the object-level descriptions while maintaining control over data complexity.
Experience R7SimSens through our web-based platform. Type your prompts and watch the environment materialize.
Scenario Editing Demonstration
Map Editing Demonstration
Comprehensive simulation powered by AI
From your understanding and text input to industry-standard HD maps.
Maps can be converted to ASAM OpenDRIVE and OSI data.
Static infrastructure, dynamic actors, and Sensor data Preview
All from text prompts.
Real-time first-person visualization lets you experience scenarios as the autonomous system sees them.
Full ASAM OpenDRIVE and OSI compliance ensures seamless integration with your existing toolchain.
Generate edge cases and rare events that are difficult or dangerous to capture in reality.
We prioritize control where it matters. Edit road geometry, actor behaviors, and scene elements with precision in OpenDRIVE/OSI. When converted to high-fidelity, the scenario gains photorealistic clarity.
Diverse training datasets with pixel-perfect ground-truth labels
Generates platforms for comprehensive test scenarios including hazardous situations without real-world risk
Accelerate scenario creation for virtual testing environments
Standardized test scenarios for autonomous vehicle safety certification