LIDAR-Lite v3HP a Low-Cost Solution to Autonomous Building-Interior Mapping


Typically, obtaining high-quality SLAM (Simultaneous Localization and Mapping) data of interior space requires using specialized, highly sophisticated and expensive ($6,000 or more) scanning LiDAR sensor systems operated by skilled technicians. The volume of data produced by these systems also creates a computational complexity, further adding to the cost.

Knowing that buildings may deviate from design plans while under construction, these real-time, accurate digital representations of the building can be utilized as a part of Building Information Modeling (BIM) databases, which can prevent costly construction errors and ensure that any deviations from plan are caught early when they are easily correctable.

The barrier to entry to greater adoption of BIM systems has been the cost and time involved in collecting and processing the data. Umanx, based in Quebec City, Canada, has developed a novel and inexpensive solution to this problem.

Using inexpensive, autonomous robotic platforms and arrays of inexpensive sensors, including cameras and Garmin’s Lidar-Lite v3HP sensors, Umanx has created an autonomous mapping robot capable of producing highly accurate maps of building interiors.

These white papers from Umanx describe how they used a variety of simple and inexpensive technologies to create accurate, detailed maps of building interiors.

The post LIDAR-Lite v3HP a Low-Cost Solution to Autonomous Building-Interior Mapping appeared first on Garmin Blog.

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