LiDAR (Light Detection And Ranging) is a relatively mature technology. With the development of laser LiDAR technology for decades, it has gradually become more complex from a single function, and has developed into a diversified and multi-functional direction by combining some new technologies. WIMI WIMI Holographic (NASDAQ: WIMI) is the world's first listed holographic technology company. It has been committed to the development, research and application of holographic technology. Its leading 3D holographic laser LiDAR technology has been applied in more and more driverless and consumer electronic products .
With the continuous development of laser LiDAR technology and more industry applications, laser LiDAR technology has also produced some essential technical flaws. The diffuse reflection problem is one of the key technology nodes. WIMI Holographic Coherent 3D Holographic Lidar Diffuse Reflection Target Detection Chip is used to solve this problem.
We know that the surfaces of many objects, such as desktop walls, look relatively smooth, but in fact they are uneven and messy under a magnifying glass. Light will be reflected irregularly in all directions by the rough surface. Laser LiDAR systems typically use laser pulses to scan a holographic 3D point in the measurement space relative to the sensor. Laser LiDAR systems can typically emit thousands or tens of thousands of laser pulses per second to form holographic 3D point cloud data. Diffuse reflection will cause a certain deviation in the holographic 3D point cloud data, resulting in inaccurate results or even misjudgment. This is the diffuse reflection problem of the laser LiDAR system.
3D holographic laser LiDAR uses pulsed laser with time feedback, or solid-state light to measure the point cloud space to reflect the spatial position of the object. The characterization requirement of the 3D holographic laser LiDAR system is that the diffuse reflection compensation adjustment of the pulse or solid-state level of the sensor can be performed within a fuzzy emissivity dynamic range, which is the compensation adjustment of the spectral reflectance data in the complex environment. It includes a series of complex algorithms such as power compensation of laser LiDAR, point cloud data gain, and noise reduction. For example, if there is strong light interference, when the LiDAR faces the sun, without a good design and processing system, it is easy to cause a lot of obvious noise in the lidar point cloud. At the same time, the special diffuse reflection of certain objects also has the property of absorbing light waves, which will also produce huge point cloud data holes.
WIMI WIMI holographic coherent 3D holographic lidar diffuse reflection target detection chip can perform judgment on spectral reflectance data. Through complex algorithms, the characterization of objects with different reflectivities under a wide range of complex environmental conditions is confirmed. is combined with calibrated spectral reflectance data. The precisely calibrated spectral reflectance can accurately measure the laser LiDAR range and minimize diffuse reflection target interference.
WIMI WIMI Hologram (NASDAQ: WIMI) is also conducting further technical verification, and hopes that this technical foundation can assist the 3D holographic laser LiDAR system and solve other problems of laser LiDAR. For example, the common tailing effect is that the laser LiDAR emits a pulse and returns normally. However, in practical applications, the pulse signal has a certain divergence angle. A large number of pulses often hit two items before and after one pulse, forming two echoes. This will lead to incorrect distance judgment. The data of the point cloud is analyzed through complex spectral reflectivity data to create an accurate mapping of the target area and calibrate the point cloud data. In addition, the interference of highly reflective objects on point cloud data has always been a technical difficulty of laser LiDAR. When laser LiDAR scans a highly reflective object, the output point cloud data may form an object of similar size and shape at other locations in addition to the real position. This is because the specular emission effect of the highly reflective object causes an erroneous mirror image to appear in the point cloud data. We all hope that some of these problems that plague laser LiDAR can be solved through the coherent 3D holographic lidar diffuse reflection target detection algorithm .
3D holographic Laser LiDAR has a very wide application space in the future, and there are many technologies that need to be gradually improved, which contains many opportunities for innovative applications. We can see that traditional LiDAR has been popularized in the initial stage of autonomous driving (for example, the car's adaptive cruise system). It was only configured in high-end cars before, and now it has almost become a standard feature of most cars. The maturity of the technology means a huge market space. 3D holographic laser LiDAR technology can accurately feedback spatial position and relative distance information, thereby detecting various objects and imaging spatial 3D holographic point cloud data. Not only in the field of autonomous driving, 3D holographic laser LiDAR can also be applied in terrain modeling, spatial measurement, disaster early warning and many other fields required by space technology . If 3D holographic laser LiDAR is combined with XR (extended reality) technology, IoT technology, geo-positioning and artificial intelligence machine learning (AI/ML) and advanced networks (5G/6G), more new industry applications may be born, so in the future, 3D holographic laser LiDAR technology still has a lot of room for technological progress and a broad application market.
