Forecast emits a laser beam that reflects off of potential obstacles. Separate algorithms single out and distinguish negative obstacles. By combining wide spatially referenced areas, variations in vehicle roll and pitch are accounted for without the need for high accuracy IMU data.
The algorithms have been tuned in rain, snow, and dusty conditions to maximise detection even in the presence of a moderate level of obscurants. Self-diagnostic algorithms detect sensor and processor faults in addition to detecting the sensor horizon and monitoring data quality in real time.
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