Useful links for Software and information

Aplitop has a good association with Stonex and supplies software called  Tcp PointCloud Editor.

Cloud Compare is free open source software to view and edit point clouds. There are many tutorials on its web site and on You Tube.

Recap  from Autodesk is 3D Points cloud software with a free version (limited features) and a professional subscription version.

SLAM LiDAR and Frequently Asked Questions FAQ

1. What is the SLAM?
SLAM is a cutting-edge mapping device that uses algorithms to utilise points captured by, in this case, a Laser scanner ‘LiDAR’ to create a map of the environment, features that surround the SLAM device. By using the point cloud and the accelerometers and gyroscope in real-time a 3D map of the surroundings is created. To carry out the Simultaneous Localization and Mapping (SLAM) powerful Algorithms and fast processing power is required. By utilising the current 3D Map information it maintains Localisation of the SLAM device relative to its environment. In combination they accurately capture points in 3 Dimensions so as to create a 3D point cloud. The point cloud typically has millions of individual points with each point having an X, Y and Z coordinates.

2. How does SLAM technology work?
SLAM technology enables real-time mapping 3D when moving through an environment. When data from various sensors, such as accelerometers, gyroscope in what is called an Inertial Measurement Unit (IMU) is combined with points obtained by LiDAR or a Visual camera The SLAM devices Algorithm allows . This creates a 3D map relative to the SLAM instrument.

3. What are the key features to look for when choosing a SLAM LiDAR?
– High-precision LiDAR sensor for long range capture of points.
– Wide field of view both horizontally and vertically.
– Rate of point capture per second.
– Cameras for colour photography so that colour rendering of the point cloud can be done during data processing.
– User-friendly interface and processing software for intuitive operation and data analysis



4. What applications suit the SLAM LiDAR?
SLAM LiDAR is versatile and can be used in the following.
– Construction for ‘As Built’ and creating a Digital Twin.
– Open cut and Underground mining
– Urban planning and infrastructure development
– Environmental monitoring and conservation
– Archaeology and cultural heritage preservation
– Forestry and vegetation management

5. How accurate is the 3D point cloud?
A 3D point can be accurate to less than 1cm. Factors such as long distance from the LiDAR and speed of capture can affect the accuracy levels. It is beneficial to plan your trajectory of data capture and use ground control points to reduce drift.

6. Can SLAM LiDAR be used inside a building or cave?
Yes, SLAM LiDAR performs equally well indoors and outdoor environments. SLAM technology does not require a GPS signal to create a 3D point cloud. This makes it ideal for use in under ground mining applications. It also works equally as well in a bright room or a totally darkness.

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