Fitting CAD models to point clouds

  • Subject:Applied robotics of the automation industry
  • Type:Master Thesis
  • Supervisor:

    Witucki, Linus

  • Links:Tender
  • Implementation of an algorithm for fitting parameterizable CAD models to measured point clouds

Motivation

The production of line sets for the automotive industry is mainly carried out by hand according to the current state of the art. Here, the individual cables are laid on a board and then fixed in strands. In this process, the cables are laid in forks (see Figure 2) for fixing on a cable forming board (see Figure 1). The correct position of these forks on the cable shaping board is therefore decisive for the accuracy of fit of the finished cable harness. Errors in the position of forks therefore lead to deformed cable harnesses which cannot be installed in the target vehicle. Therefore, point clouds of the cable form board are recorded and digitized. For the complete digitization, CAD models of the individual forks will be iteratively merged to form an overall model of the cable form board.

Objectives

The goal of the thesis is to generate a parameterizable CAD model of a standard fork. This model shall be fitted into a measured point cloud. The parameters of the fork are to represent production-relevant variables such as the distance between the tines and the cable feed-through point. The results of the fitting are the production-relevant parameters, as well as the transformation matrix of the fork.

Helpful previous knowledge

For the processing of the thesis the following previous knowledge is helpful:

  • Optimization
  • Image processing
  • ROS
  • MATLAB
Figure 1: Wiring harness
Figure 2: Fork