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zVUE is a Radar Operating System that ingests your platform's radar point clouds and provides radar-aware data conditioning and preperception libraries for your software stack, improving detections by 10x.
zVUE has a suite of radar-specific stochastic processing algorithms to detect and eliminate common radar point cloud defects such as multipath detections and noisy points. This dramatically reduces false alarms and improves detectability.
zVUE performs instant auto-alignment and calibration between radars on moving platforms using online optimization techniques. This eliminates expensive factory radar calibration processes.
With 4D point cloud data, zVUE is able to cluster and track hundreds of dynamic objects such as humans, bicyclists, and cars in challenging urban environments. Parameters can dynamically optimize performance in any scenario.
zVUE analyzes 4D point cloud data to measure relative movement in the environment, providing ego vehicle motion and yaw rate without requiring IMU or GPS.
zVUE builds maps of the environment by detecting and rejecting dynamic objects. The remaining static objects are accumulated to produce a highly detailed map of the world.
zVUE leverages 4D point cloud data and statistical processing techniques to accurately distinguish between moving and stationary objects, even when the sensor is on a moving platform.
Use zVUE as a preprocessing platform for new and existing radar deployments to boost perception performance. zVUE works best with our high-performance SDIR-enabled sensors.
Learn how zVUE is part of SDIR →
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