The sensors provide real-time 3D perception data for localization, mapping, object classification and object tracking. Velodyne's power-efficient sensors support Stan robots in a wide range of challenging environmental conditions.
To achieve navigation accuracy, sensors use algorithms that look at a series of measurements (as opposed to a single measurement) and generate output numbers that compensate for measurement errors. These algorithms are known as sensor fusion algorithms or Kalman filtering.
The module allows rapid development of new robots by providing all the sensors and sensor processing software in one compact, pre-calibrated device with multiple interfaces supported to meet varying developer requirements.