Virtual Sensor Platform
THE POWER
BEHIND DAI
DAI elevates ADAS performance, making autonomous driving safer, and accelerates the transition towards trustworthy autonomous mobility.
All with a hardware-free approach and no dependency on tires, internet data, cloud services, or artificial intelligence. This ensures maximum scalability and seamless integration.
NO EXTRA
HARDWARE
INDEPENDENT
FROM CLOUD
MODULAR AND SCALABLE
REAL-TIME LOW/HIGH μ (MU) DETECTION
Virtual Sensor LOW/HIGH-μ
Real-time low/high μ detection (above/below 0.5) to optimise ADAS instantly based on actual grip conditions
- Self Calibration
- Grip-Aware ADAS Optimisation
VIRTUAL SENSOR
AQUAPLANING
Enabling safe ADAS and Autonomous Driving with real time detection of partial and full aquaplaning conditions even with independent side sensing capabilities.
DETECTION IN
ms
UNCONSTRAINED
FROM TIRE
VIRTUAL SENSOR
SNOW&ICE
Identifying snow and ice conditions in milliseconds and detecting early grip reduction before tire slip, providing immediate feedback to the vehicle to improve stability and control.
DETECTION
WITH NO SLIP
VIRTUAL SENSOR
IRREGULAR TERRAIN
INDEPENDENT FROM
SUSPENSION
VIRTUAL SENSOR
ITPMS
HARDWARE SENSOR
REPLACEMENT
VIRTUAL SENSOR
TIRE WEAR
0.5 MM TREAD
DEPTH ACCURACY
VIRTUAL SENSOR
WHEEL MISALIGNMENT
Detecting alignment deviations by analyzing vehicle dynamics and tire–road interaction, identifying asymmetries that can impact stability, braking, tire wear, fuel consumption and emissions.
ENABLE PREDICTIVE
TIRE MAINTENANCE
OPTIMIZED
VEHICLE EFFICIENCY
SOON
Loose Wheels Virtual Sensor
Preventing one of the most dangerous mechanical failures on the road, avoiding accidents, preserving vehicle performance, and ensuring long-term reliability.
It achieves this through a virtual sensor that captures microscopic wheel-loosening patterns, long before they become visible or perceptible to traditional systems.
Road-to-Vehicle Communication
The virtual sensor unlocks predictive calibration for ADAS and autonomous driving, anticipating hazards such as work zones or school areas and enabling early, intelligent driving assistance logics.
By harnessing the vehicle’s own sense of touch, it operates without any visual-based sensors like cameras, radar or LiDAR.
