你好, 能否请教下你CVC这篇文章中的相关参数选择问题? 1.deltaR, deltaP, width的选择实际是怎么考虑的呢?

    length = round((maxrange - minrange)/deltaR);
    width = 301; //?
    height = round((maxazimuth - minazimuth)/deltaA);

2.求取最大的三个索引的目的在于哪?

    auto maxPosition = max_element(ai.begin(), ai.end());
    auto maxPosition1 = max_element(ri.begin(), ri.end());
    auto maxPosition2 = max_element(pi.begin(), pi.end());

3. 求取azimuth_index有两种不同方法: // int azimuth_index = round((vapr[i].azimuth+fabs(minazimuth))*180/PI/deltaA); // int azimuth_index = round(((vapr[i].azimuth-minazimuth)*180/PI)/deltaA);

谢谢回复!

First of all , I would like to express appreciation and admire to your work in the GitHub repository towards your implementation of some of the state of the art published papers contributing to the perception field .

i wanted kindly inquire about the availability of a license for the open source repo “Lidar Segmentation” , for example an "MIT " license ? . I was mostly interested in the rights to use the implementation part regarding clustering approach from “Curved-Voxel Clustering for Accurate Segmentation of 3D LiDAR Point Clouds with Real-Time Performance'

It would gladly be helpful to have a license for this project as I am working on R&D project and would like to appropriately know the rights to use your published software code.

Hello! Thanks for sharing your great work I want to take a demo of your program after making, but I don't know how to do. Can you help me the process to demo? Thanks a lot in advance

按照曲率体的定义我感觉应该是相反的 par.polar_angle = Polar_angle_cal(cloud_IN.points[i].x, cloud_IN.points[i].y); par.azimuth =(float) atan2(cloud_IN.points[i].z,par.range);