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Simulated LiDAR point cloud data, - Coggle Diagram
Simulated LiDAR point cloud data
What is simulated LiDAR point cloud data?
Data created artificially to illustrate how the code works
In a real-world scenario, you would replace this simulated data with actual data captured by a LiDAR sensor
Coordinates (x, y, and z)
Each data point in the point cloud has three coordinates associated with it
x-coordinate: Represents the horizontal position of the point
y-coordinate: Represents the vertical position of the point
z-coordinate: Represents the depth or distance of the point from the LiDAR sensor
Coordinates (x, y, and z)
Each data point in the point cloud has three coordinates associated with it
x-coordinate: Represents the horizontal position of the point
y-coordinate: Represents the vertical position of the point
z-coordinate: Represents the depth or distance of the point from the LiDAR sensor
Supporting Details:
The simulated data is used to illustrate how the clustering algorithm can be applied to detect clusters of points, which may correspond to objects like people, in the LiDAR's observations.
The clustering algorithm works by grouping together points that are close to each other in space.
This allows us to identify objects in the LiDAR data, even if they are partially obscured or overlapping.
What is a LiDAR point cloud?
A collection of data points in three-dimensional space
Each data point represents a measurement taken by the LiDAR sensor
In this simulation, we are representing the LiDAR's observations as a set of points