Automated text placement on 3D models: A bachelor's thesis with a future

How an algorithm is expanding Daimler Buses' Digital Warehouse

As part of a joint project between Daimler Buses and SUSI&James, the team tackled an exciting challenge: the automated placement of text on 3D models. Until now, engineers and designers had to manually decide where elements such as a logo, serial number, or licensing information should appear on a component.

This process was time-consuming and subjective. In his bachelor’s thesis, “Generating and Visualizing Suggestions for Text Brandings on 3D Models,” Maximilian Stinner has now developed an algorithmic solution to this problem.

The “Digital Warehouse” is a software solution for Daimler Buses that enables the company to manage its own spare parts and assess their 3D printability. Currently, it is the responsibility of experts to assess the feasibility of printing as well as the placement of markers on the models. The idea behind Stinner’s work: An algorithm is designed to automatically generate suggestions that enable a quick and objective decision.

Stinner’s bachelor’s thesis served as a proof of concept. “The problem had existed for some time, and the thesis provided an opportunity to tackle it in a structured way,” said Dr. Falco Nogatz, his advisor at SUSI&James. Although the solution developed has not yet been put into production, it demonstrates the potential for future implementation.

The prototype developed by Stinner is a browser application that analyzes 3D models, identifies various surfaces, and suggests the optimal placement of text based on specified criteria. Criteria such as visibility, size, and discretion can be defined by the user.

One of the biggest challenges was displaying the 3D models directly in the browser. Since a graphics card could not be used, an efficient solution was needed to render the models clearly. The decision to develop a web-based application was a deliberate one: it was intended to be usable directly without any additional software.

The prototype works well for simple objects such as nuts and bolts. However, the application reaches its limits with more complex and larger files. Nevertheless, the work demonstrates that automated text placement in 3D environments is possible in principle. Even though no comparable product currently exists, the work offers a valuable scientific contribution. It could be of interest not only for 3D printing but also for other applications such as engraving.

The collaboration between Maximilian Stinner and SUSI&James went extremely well. The student, who has since successfully completed his bachelor’s degree and is considering pursuing a master’s degree in media informatics, would like to continue exploring the field of 3D. His work could serve as the foundation for future developments—whether through further student projects or a direct commission from an industry partner.

This innovative approach demonstrates once again how practical research can lead to tangible solutions for industry. An exciting project with great potential for the future!

We would like to thank Maximilian for his contributions and wish him all the best and every success in his future endeavors.

Research Project “Age-Appropriate Behavior”

We are collaborating with Continental to explore the concept of “level-appropriate behavior.” Identifying and monitoring safety-critical situations poses challenges for drivers, especially when there are frequent transitions between fully automated, partially automated, and manual driving.

The goal is to clearly show drivers which level of automation they are currently in and how they should respond. To this end, we are developing a virtual co-pilot that explains the test scenario, answers questions, and is available throughout the drive. Our AI provides support, particularly when switching between autonomous driving levels. 

KARLI Research Project: "Motion Sickness" Subproject

Together with the Ford Motor Company, we are investigating the topic of “motion sickness.” This term refers to a condition that most people have experienced firsthand: nausea, dizziness, or headaches. The effect is particularly pronounced when reading in a car, as this causes a significant discrepancy between the sense of balance and visual perception. Motion sickness is more likely to occur in an automated vehicle. The goal is therefore to develop AI algorithms and HMI (human-machine interface) systems capable of recognizing motion sickness in specific situations and reducing or even preventing its occurrence.

For research purposes, we developed both the voice prompts and several visual elements. Here, test drivers are encouraged to perform various driving maneuvers or respond to different situations—for example, by looking out the window, reading something, and reporting how they feel. Our voice assistant SUSI interacts with the test drivers at regular intervals to determine their motion sickness level. The test results are then analyzed and provide insights into factors such as the effects of the surrounding environment.

KARLI Mid-Year Presentation 2023

Experience research firsthand! SUSI&James attended the KARLI Project midterm presentation at Continental’s Zukunftswerkstatt in Frankfurt. Our voice-based applications were also on display there as part of the AI solutions developed by our partners Ford Motor Company, Continental, and the University of Stuttgart.

The KARLI project consists of eight subprojects, three of which are supported by our technology in the research phase. The latest interim results on the topics of “level-compliant behavior,” “AI interaction,” and “motion sickness” were presented in technical talks and could also be experienced firsthand in the test vehicles.

Intelligent driving of the future requires the development of AI systems capable of triggering in-vehicle interactions that are tailored to the individual and the context, thereby helping to ensure a safe and comfortable ride. 

It was exciting to experience the systems and voice interactions firsthand in test vehicles and try them out for ourselves. We also had the opportunity to meet familiar faces and discuss their projects, visions, and goals with stakeholders and decision-makers. Networking with others is very valuable to us.

We are excited to be working with KARLI to help shape the future of driving.

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