Driver monitoring and in‑cabin sensing
Develop and validate functions for road safety, automated driving and NCAP readiness
Driver monitoring systems (DMS) are becoming an essential component of modern vehicle safety concepts, NCAP assessments and higher levels of vehicle automation. As drivers increasingly share driving responsibilities with automated systems, reliable monitoring of attention and driver state becomes critical. Beyond driver monitoring, in-cabin sensing and occupant monitoring systems (OMS) contribute to improved passenger safety and enable a wide range of safety-critical applications inside the vehicle.
Our solution supports the virtual development, testing and validation of DMS, OMS and other in-cabin functions. Realistic driver behavior simulation, sensor modeling and virtual test environments enable efficient and scalable development workflows.
Note: This solution is currently under development. We are working closely with customers and industry partners to shape a market-ready offering.
Who benefits from our solution for driver monitoring and in-cabin sensing?
The solution is designed for:
- OEMs and Tier 1 suppliers
- ADAS and automated driving development teams
- Validation and homologation engineers
- Safety and compliance experts preparing for evolving NCAP requirements
What does our driver monitoring and in-cabin sensing solution offer?
The solution provides a virtual environment to develop, test and validate DMS and OMS functions with the following key capabilities:
- Realistic driver behavior simulation
- Camera- and radar-based sensor modeling
- Configurable and scalable test scenarios
- Virtual validation of driver monitoring and in-cabin sensing functions
- Cloud- and HIL-ready deployment workflows
How our solution can support you
- Evaluate DMS functions using animated driver models capable of reproducing distraction, drowsiness, phone usage and other driver states for realistic driver behavior simulation
- Assessment of RGB and near-infrared camera concepts under varying lighting and ambient conditions to validate camera-based monitoring systems
- Large virtual test coverage with DMS performance tests across diverse driver profiles, viewing directions, distraction scenarios and operational conditions
- Investigate multi-sensor approaches combining camera technologies with additional modalities such as radar-based monitoring for future sensor concepts
Use cases
Prepare for NCAP assessments
Develop and validate driver monitoring functions for distraction, drowsiness and impairment as well as occupant monitoring in preparation for evolving NCAP requirements and safety assessments.
Shift validation to early development stages
Evaluate driver monitoring and in-cabin sensing functions in virtual environments before physical vehicles or prototypes become available, enabling earlier feedback and faster development cycles.
Improve DMS/OMS robustness
Validate system performance across challenging ambient conditions, diverse user profiles as well as realistic cabin scenarios, and test corner cases to identify potential weaknesses before vehicle deployment.
Enable safe automated driving
Assess how driver state and occupant information can support driver handover, warning strategies and safe transitions between automated and manual driving.
Accelerate hardware-in-the-loop validation
Generate realistic sensor data streams for hardware-in-the-loop environments and validate production ECUs under reproducible and scalable test conditions.
Develop advanced occupant monitoring applications
Develop and validate occupant monitoring functions such as passenger detection, child presence detection, object recognition and cabin awareness within realistic simulation environments.
