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3D Holographic Lidar Chip Solves Reflection

image of 3D Holographic Lidar

WiMi Hologram Cloud Inc. (NASDAQ: WIMI) (“WiMi” or the “Company”), a leading global Hologram Augmented Reality (“AR”) Technology provider, today announced that it developed a coherent holographic LiDAR diffuse target detection chip for solving technical defects of diffuse reflection generated from the continuous development and industry applications of LiDAR as WiMi’s leading 3D holographic LiDAR technology has been applied in many unmanned and consumer electronics products.

The surfaces of many objects look relatively smooth, but in reality, they are not flat and messy under magnification. Rough surfaces cause light to reflect irregularly in all directions. LiDAR systems typically use laser pulses to scan and measure holographic 3D point locations in space relative to the sensor. LiDAR systems can naturally emit thousands or tens of thousands of laser pulses per second, creating a holographic 3D data point cloud. The diffuse reflection can lead to some deviation of the holographic 3D point cloud data, resulting in inaccurate or even misjudged results, which is the diffuse reflection problem of the LiDAR system.

3D holographic LiDAR uses a pulsed laser with time feedback or solid-state light to measure the point cloud space to reflect the object’s spatial location. 3D holographic LiDAR system characterization requires that the pulsed or solid-state level of the sensor can be adjusted to compensate for diffuse reflections within a fuzzy emissivity dynamic range, which is the compensation adjustment of spectral reflectance data in complex environment characterization. It contains a series of complex algorithms such as power compensation of LiDAR, point cloud data gain, and noise reduction. If LiDAR does not have a well-designed processing system, it can easily lead to many obvious noise points in the LiDAR point cloud when intense light interferes. At the same time, the special diffuse reflection of particular objects also has the property of absorbing light waves, which will also produce great point cloud data voids.

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