EVERYTHING BETWEEN SENSOR AND ORIENTATION DATA
Modern MEMS inertial sensors (accelerometers, gyroscopes) realize high-precision outputs previously seen only in very high-cost and bulky applications. MEMS chips are low-cost, small and not power hungry. However, sensor outputs (specific force, rotation rate) require processing to obtain information the application actually needs (orientation, position, etc.). Our algorithm library enables a fast way to transition from raw data to the required solutions. We also develop hardware tools and reference systems for customer-specific application development.
Pinpoint accuracy with a fragment of costs
MEMS inertial sensors with tailored algorithms enable superior measuring accuracy compared to many traditional methods of observing motion. Additionally, these sensors are more cost-effective, smaller, lighter, and consume less power. Sensor systems can be re-calibrated, and the algorithms can be updated without the need to remove the units from the host vehicle.
Our team is constantly experimenting and looking for new approaches to accurate measure vehicle motion
Smaller positioning errors over time
Traditional inertial sensors calculate position by integrating acceleration. Consequently, small sensor drifts and errors add up over time resulting diminishing accuracy.
We have been able to solve this issue with our motion-constrained inertial systems. Our smart algorithms are able to utilize the known constraints as an additional source of information in computations. This allows our algorithms to detect position and heading drifts and keep the accuracy stable over time. This approach generalizes well to many kinds of dynamic estimation problems our customers encounter.
