Real time XYZ distance calculation between container pockets and truck twist locks

Description company:

Hyster-Yale Group designs, manufactures and sells Materials Handling products, (fork) lift trucks in a full range product line. In Nijmegen the company engineers and manufactures Big Trucks and Container Handlers. The EMEA Aftermarket and Spare Parts Depot organizations are also located at the Nijmegen site.  Hyster-Yale Group is a worldwide organization with sales offices, production plants and development centers all over the globe.

Description department:

Hyster Yale – Big Truck development center

What are you going to do:

With an earlier assignment we have an algorithm to detect and identify Container stack and twist lock pockets of containers (terminal/port application) with use of machine learning algorithms.

With this assignment real time XYZ distance is required to be calculated and validated with an input from camera (output of existing machine learning algorithm) and 3D ultrasonic sensor. Based on this XYZ distance further identify path truck should follow for Twist lock pockets location of identified container.

What do you bring:

Software development / Machine vision algorithm development

We are looking for a master thesis student who can work independently or with minimum remote guidance on the assignment.

What do we offer:

We will provide hardware and software development environment for the algorithm development and facitlites to test developed algorithm.

Support and mentorship are provided as well as opportunities for job positions after this. Participation in project teams, customer visits and learning on the job are encouraged.

Internship allowance: € 350,= euro gross/month

Contactinformation:

For technical questions: Neha Roy (neha.roy@hyster-yale.com)

For administrative questions: Monique Bogels (Monique.bogels@hyster-yale.com)

If you would like to apply, click on the button down below.