mint-lab / rtl Goto Github PK

I think there is a bug.
virtual Line ComputeModel(const std::vector& data, const std::set& samples)
when not if (fabs(b) > DBL_EPSILON)
a and b coefficients for lines in x and y axis solved by:

    double maxDiffX=0.;
    double maxDiffY=0.;
    for(int np=0;np<(data.size()-1);np++)
    {
        double diffX=fabs(data[np+1].x-data[np].x);
        if(diffX>maxDiffX) maxDiffX=diffX;
        double diffY=fabs(data[np+1].y-data[np].y);
        if(diffY>maxDiffY) maxDiffY=diffY;
    }
    if(maxDiffX<maxDiffY)
    {
        line.a = 1;
        line.b = 0;
    }
    else
    {
        line.a = 0;
        line.b = 1;
    }

Could you share me the source code of following paper?

Robust Ground Plane Detection from 3D Point Clouds

Sunglok Choi, Jaehyun Park, Jaemin Byun, and Wonpil Yu, Robust Ground Plane Detection from 3D Point Clouds, in Proceedings of International Conference on Control, Automation and Systems (ICCAS), 2014 PDF DOI "Best Presentation Award"

thanks

I could not find instructions for how to add a new estimator.
I want to fit a plane to a set of 3D points.

Hi, can I use constrains with this? For example, if I fit the data x, y with a linear model, y = a*x + b, I want to constrain -0.01 < a < 0.01. Can I do it with this repo?

Hi, the line parameters solving in your code involves eigenvalues. Can you show me a formula derivation about this implementation. I tried to do it by myself but failed. Thank you so much.

When I build this with VisualStudio, it complained that

binary '<<': no operator found which takes a right-hand operand of type 'const double'

How can I fix it?

compile error :
cmake 3.10
gcc (Ubuntu 7.5.0-3ubuntu1~18.04)

LMedS.hpp: toolEstimator is undefined