Formula Student Autonomous Systems
The code for the main driverless system
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least_squares_differentiation.hpp
Go to the documentation of this file.
1
#include <
cone_differentiation/cone_differentiation.hpp
>
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9
class
LeastSquaresDifferentiation
:
public
ConeDifferentiation
{
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public
:
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void
coneDifferentiation
(
Cluster
* cone_point_cloud)
const override
;
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};
Cluster
Represents a cluster of 3D points using PCL (Point Cloud Library).
Definition
cluster.hpp:14
ConeDifferentiation
Abstract class for cone differentiation based on cone reflectivity patterns.
Definition
cone_differentiation.hpp:13
LeastSquaresDifferentiation
Class for Cone Differentiation using the Least Squares Method.
Definition
least_squares_differentiation.hpp:9
LeastSquaresDifferentiation::coneDifferentiation
void coneDifferentiation(Cluster *cone_point_cloud) const override
Perform cone differentiation on a cone's point cloud using the Least Squares Method.
Definition
least_squares_differentiation.cpp:4
cone_differentiation.hpp
src
perception
include
cone_differentiation
least_squares_differentiation.hpp
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