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LiDAR Mapping And AI Tech Forge A Promising Bond For Our Future  

LiDAR Mapping and AI Tech Forge a Promising Bond for Our Future  

In recent years, there has been a growth explosion following the marriage between Light Detection and Ranging (LiDAR) mapping and artificial intelligence (AI). Standing separately in the geospatial market, LiDAR mapping and AI have made tremendous strides individually. As the two technologies come together, a picture is emerging that reveals a complimentary, symbiotic relationship between them. This is especially true in the ways AI has enhanced LiDAR tech.

AI & LiDAR: The Missing Link

In the early days, engineers spent hours undergoing intense, highly specialized training to learn how to capture specific raw point cloud data by hand. It was a tedious and time-consuming task that could not be assigned to just anyone.

AI promises to make the process much easier and more efficient, particularly in the areas of automating smarter registration processes and object identification. This technology takes substantially less time compared to the time required to manually detect real-world items and label them in LiDAR point clouds.

AI Technology Improves LiDAR Technology

Advancements in AI technology have increased LiDAR’s detection ability while reducing the time required to do it. Current advances in AI have made it possible to detect and automatically recognize specific objects including houses, power lines, and grounds using airborne point clouds.

Automated registration of terrestrial laser scanning is another area in which the use of AI is quickly growing. Point cloud processing gets a boost from better algorithms for machine learning and vector analysis. This will not only make the majority of manual involvement in scan alignment unnecessary, but it will also speed up the process considerably.

AI: The Future of LiDAR

The value of LiDAR rests primarily in the completeness and accuracy of the information it collects and processes as well as its ability to integrate sensor data to achieve the high-fidelity imaging that is required. AI promises to enhance the processes within aerial LiDAR and digital imaging services, making them more accurate, faster, more efficient, and of higher quality.

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