Why ADMA delivers unmatched Accuracy and Robustness
High‑precision and robust navigation performance is not only a matter of accuracy – it is also a matter of measurement stability for demanding automotive test scenarios. Many test environments expose inertial systems to extreme dynamics, abrupt shocks, or sudden standstill events. The inertial system needs to get along with these harsh conditions and to keep its initialization data to save plenty of time. A critical factor behind this performance is the ability to maintain Kalman filter stability.
Advanced Standstill Detection (ASD): The Key to Stability
Our Advanced Standstill Detection technology ensures that ADMA remains stable even when other systems fail. ASD prevents kalman filter “crashes” during abrupt dynamics or vehicle collisions because of misinterpretation of sensor data. It keeps Heading, Position and velocity stable which enables the kalman filter to provide consistent measurement data. This exclusive ASD technology gives the ADMA a level of stability and performance that remains unrivaled across the industry. It delivers full standstill detection without relying on odometry, external velocity sources, or dual‑antenna setups – everything is handled seamlessly through single‑antenna GNSS and intelligent sensor fusion.
A common example is found in ADAS test scenarios, where the hunter vehicle may accidentally collide with a target platform. In such events, the physical impact exceeds the maximum thresholds of the IMU and GNSS sensors.
Without additional logic, this would cause the Kalman filter to diverge due to the sudden surge of false acceleration, angular‑rate, or Doppler values with the need of a re-initialization of the inertial system. With ASD and additional protective algorithms, ADMA can reliably detect these crash events, identify the exceeded thresholds, and suppress corrupted sensor data during the impact phase. This prevents the filter from integrating invalid values and ensures that heading, position, and velocity remain stable, even when the platform or vehicle experiences an unexpected collision.
ASD combines:
- IMU indicators (accelerometer and gyroscope patterns)
- GNSS Position information (When RTK available)
This multi-channel approach allows ADMA to confidently detect standstill and keep the kalman filter stable. The result is a resilient Kalman filter that recovers quickly and avoids divergence, even in the harshest scenarios.
Where do i need this high performance?
You will need this performance in every vehicle scenario with high dynamics. Common applications are Vehicle Dynamics, ADAS Testing and Regulatory Testing such as Euro NCAP and NHTSA standards. In all these environments, stable heading, robust standstill detection, and a resilient Kalman filter are essential to guarantee reliable, repeatable, and crash‑resistant measurement data.
Vehicle Dynamics Testing
Vehicle dynamics programs push vehicles to their physical limits. Maneuvers such as slalom driving, ISO lane change, split‑µ braking, ABS/ESC characterization or drift stability generate high angular rates and harsh accelerations.
ADAS Testing
ADAS testing involves complex multi‑vehicle interactions, moving target platforms, and sudden dynamic changes. Target platforms like soft‑car dummies can be hit or jolt unexpectedly – exceeding normal sensor thresholds.
FAQ
→ No, the ASD is working with the GNSS Single Antenna signal.
