AutonomousLiDAR

AEye announces breakthrough in long-range threat detection and safety

In performance specification tests AEye’s iDAR system detected and tracked a truck at 1,000 meters, or one kilometer – four to five times the distance current LiDAR systems are able to detect

AEye has announced a major breakthrough in long-range threat detection and safety. In performance specification tests monitored and validated by VSI Labs, AEye’s iDAR system detected and tracked a truck at 1,000 meters, or one kilometer – four to five times the distance current LiDAR systems are able to detect.

AEye’s test sets a new benchmark for solid-state LiDAR range, and comes one month after it announced a 100Hz scan rate – setting a new speed record for the industry.

Using AEye’s standard iDAR sensor, the test was conducted on the runway of an airport in Byron, California in order to isolate targets to better measure and calibrate iDAR’s performance. To test range, a standard 20-foot moving truck was tracked and continuously scanned down the length of the 914 meter runway. At the end of the runway, the iDAR system was fully able to continuously detect, and track the movements of the vehicle as well as detect runway signs and markers en route.  The sensor vehicle was then taken off the runway to extend the available test range to over 1000m, where iDAR continued to track the truck without difficulty.

AEye’s iDAR is an intelligent artificial perception system that physically fuses an agile, solid-state LiDAR with a hi-res camera to create a new data type called Dynamic Vixels. These Dynamic Vixels are the result of real-time integration of iDAR’s Agile LiDAR and a low-light camera in the IDAR sensor, not post fusion of a separate camera and LiDAR system after the scan. By capturing x, y, z, r, g, b data, Dynamic Vixels are uniquely created to “biomimic” the data structure of the human visual cortex. Better data drives vastly superior performance and delivers more accurate information.

The company simultaneously announced $40M in Series B funding, led by Taiwania Capital. The round was significantly oversubscribed and included multiple global automotive OEMs, Tier 1s, and Tier 2s to be formally announced at CES in January. In addition to Taiwania Capital, existing investors Kleiner Perkins, Intel Capital, Airbus Ventures and Tychee Partners also participated.

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