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INTERNSHIP DETAILS

Master Thesis - Multi-modal traversability estimation for Autonomous Outdoor Navigation

CompanyFraunhofer-Gesellschaft

LocationStuttgart

Work ModeOn Site

PostedDecember 23, 2025

Internship Information

Core Responsibilities

You will design a traversability estimation algorithm that fuses geometric information from LiDAR elevation maps with semantic annotations from RGB images. The focus will be on evaluating the effectiveness of different fusion strategies and ensuring real-time performance.

Internship Type

full time

Company Size

279

Visa Sponsorship

Language

English

Working Hours

40 hours

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About The Company

Fraunhofer IGD is the international leading institute for applied research in visual computing. Visual computing is image- and model-based information technology and includes computer graphics and computer vision, as well as virtual and augmented reality. In simple terms, the Fraunhofer researchers in Darmstadt, Rostock, and Kiel are turning information into images and extracting information from images. In cooperation with its partners, technical solutions and market-relevant products are created. Prototypes and integrated solutions are developed in accordance with customized requirements. In doing so, Fraunhofer IGD places users at the forefront, providing them with technical solutions to facilitate computer work and make it more efficient. Owing to its numerous innovations, Fraunhofer IGD raises man-machine interaction to a new level. Man is able to work in a more result-oriented and effective way by means of the computer and visual computing developments.

About the Role

Advertisement for the field of study such as: Automation technology, electrical engineering, computer science, cybernetics, mechatronics, control engineering, software design, software engineering, technical computer science or comparable.

In the Professional Service Robots - Outdoor research group we develop autonomous, mobile robots for a variety of outdoor applications, such as agriculture, forestry and logistics. The focus is on the development of an autonomous outdoor navigation solution as well as the hardware of the robots.

For mobile robots operating in outdoor, unstructured environments with unknown terrain conditions, an accurate representation of the environment is essential. For this purpose, data from multiple sensors needs to be interpreted and fused to reliably estimate the traversability of the surrounding environment.

Terrain traversability can be evaluated by analyzing the geometry of elevation maps generated using LiDAR scans. This method alone is inherently unable to capture subtle semantic information such as surface properties, which could, for example, help prioritize paths along dirt roads rather than through dense vegetation. For this purpose, semantic traversability scores can be extracted from RGB images produced by a stereo camera using Deep Neural Networks. But relying only on the semantic traversability information is sensitive to domain shifts and weather conditions.

Therefore, the objective of this thesis is to develop and test a real-time, tightly-coupled traversability algorithm that fuses information from both sensor modalities, therefore providing a more complete understanding of the environment as an input for the path planning.

Hier sorgen Sie für Veränderung

In this thesis, you will design a traversability estimation algorithm that fuses geometric information derived from LiDAR elevation maps with semantic annotations inferred from RGB images. You will focus on fusing traversability scores generated by independent sensor modalities and evaluate the effectiveness of different fusion strategies, including early-stage and late-stage approaches.

You will evaluate the accuracy and real-time computational performance of your implementation in real-world scenarios using both recorded data and real-life deployment with our mobile CURT robots, to ensure real-time performance.

Hiermit bringen Sie sich ein

Student enrolled at a German university/Hochschule
Background in Computer Science, Software Engineering, Mechatronics or similar
Programming knowledge and experience with C/C++
Experience with ROS is a plus
Analytical mindset
Enthusiasm for mobile robotics
Fluent in English or German

Was wir für Sie bereithalten

Cutting-edge technology in the field of outdoor mobile robotics
Hands on with our robots in Stuttgart
Take on responsibility and freedom to implement your own ideas
Work with the best students in their discipline
Familiar atmosphere including Cake Thursday

Wir wertschätzen und fördern die Vielfalt der Kompetenzen unserer Mitarbeitenden und begrüßen daher alle Bewerbungen – unabhängig von Alter, Geschlecht, Nationalität, ethnischer und sozialer Herkunft, Religion, Weltanschauung, Behinderung sowie sexueller Orientierung und Identität. Schwerbehinderte Menschen werden bei gleicher Eignung bevorzugt eingestellt. Unsere Aufgaben sind vielfältig und anpassbar – für Bewerber*innen mit Behinderung finden wir gemeinsam Lösungen, die ihre Fähigkeiten optimal fördern.

Mit ihrer Fokussierung auf zukunftsrelevante Schlüsseltechnologien sowie auf die Verwertung der Ergebnisse in Wirtschaft und Industrie spielt die Fraunhofer-Gesellschaft eine zentrale Rolle im Innovationsprozess. Als Wegweiser und Impulsgeber für innovative Entwicklungen und wissenschaftliche Exzellenz wirkt sie mit an der Gestaltung unserer Gesellschaft und unserer Zukunft.

Bereit für Veränderung? Dann bewerben Sie sich jetzt, und machen Sie einen Unterschied! Nach Eingang Ihrer Online-Bewerbung erhalten Sie eine automatische Empfangsbestätigung. Dann melden wir uns schnellstmöglich und sagen Ihnen, wie es weitergeht.

Ms. Jennifer Leppich

Recruiting

+49 711 970-1415

jennifer.leppich@ipa.fraunhofer.de

Fraunhofer-Institut für Produktionstechnik und Automatisierung IPA

www.ipa.fraunhofer.de

Kennziffer: 82321 Bewerbungsfrist:

Key Skills

Computer ScienceSoftware EngineeringMechatronicsProgrammingC/C++ROSAnalytical MindsetMobile Robotics