Design and Implementation of 3-D Measurement Method for Container Handling Target

In the process of automatic container terminal loading and unloading, the three-dimensional attitude of the container affects the security of loading and unloading operations, so the three-dimensional attitude positioning of the container is very important. In this paper, a visual non-contact measurement method is used to realize the real-time orientation of the three-dimensional attitude of the container. First, the container corner is coarsely positioned by a small-scale deep learning network. Secondly, the precise position of the container keyhole is obtained by the secondary positioning of the container corner through the traditional image processing algorithm, and the container posture is measured in three dimensions by combining the physical motion model of the container during loading and unloading. After testing, unlike previous measurement methods, the measurement accuracy of this method met the requirements of automatic loading and unloading of container terminals, and the measurement time met the requirements of real-time measurement.

Automated summary

This paper presents a visual non-contact measurement method for real-time positioning of the three-dimensional attitude of containers in automatic container terminal operations. The method achieves accurate measurement using a combination of deep learning networks and traditional image processing algorithms, meeting the requirements of automated loading and unloading.