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Internship/M.Sc. thesis: Validation and Benchmarking Framework for Power Line Inspection Algorithms
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Internship/M.Sc. thesis: Sensor Fusion and Semantic Projection for Power Line Inspection

Fraunhofer Italia
Bolzano - Bozen, Trentino-Alto Adige

Candidati adesso

Dettagli della posizione

Tirocinio formativo/stage

Qualifiche

Inglese
Laurea magistrale
C++
Laurea triennale
Machine learning
Italiano
Python
Tedesco

Descrizione completa della posizione

Fraunhofer Italia with headquarters in Bolzano (Italy) is offering an internship position in its division Automation and Mechatronics Engineering (AME). AME conducts applied research in the most diverse aspects of digitalisation for the benefit of the regional stakeholders. The fields of expertise range from the extraction, analysis and optimisation of processes from operative production and logistic systems, novel control paradigms for production systems, design and prototyping of complex mechatronic systems, applications of artificial intelligence (AI) and machine learning (ML), real-time data processing and process mining of business processes.

Are you a prospective student willing to undertake an experience with us? If so, apply for this position at Fraunhofer Italia!

The topic:

Sensor Fusion and Semantic Projection for Power Line Inspection

This internship and thesis topic focuses on the development of a sensor fusion and semantic projection framework for UAV-based inspection of medium-voltage power lines. The objective is to integrate high-resolution RGB imagery and LiDAR data to produce semantically enriched and colorized 3D representations of power line components. The approach combines the semantic understanding of deep neural networks (DNNs) with the geometric precision of LiDAR sensing to enable accurate and interpretable inspection data.

RGB images will be processed using DNN-based object detection and segmentation models to identify components such as insulators, cross-arms, clamps, and vegetation intrusions. These detections will be projected into LiDAR point clouds using precise extrinsic calibration and temporal synchronization between the sensors. The resulting 3D reconstructions will be geometrically accurate, semantically annotated, and visually enhanced with RGB color information.

A further focus will be on data prioritization and reduction for efficient communication between UAV and ground station. Only relevant or annotated areas, such as those containing critical structures or defects, will be transmitted or stored.

Requirements:

You are a university or high school student in a MINT discipline and looking for hands-on experience.
You have knowledge of programming in C++ or Python and a basic understanding of cameras and LiDAR sensors.
You work independently, systematically, and with a high level of commitment, creativity, and team spirit.
You are an EU citizen or have a valid work permit for Italy.
You are proficient in English; knowledge of Italian or German is an advantage.
The internship is carried out in presence at our premises in Bolzano.

Your task:
Your main activity will be to implement and validate sensor fusion and semantic mapping concepts using UAV data. You will develop algorithms for object detection, projection, and annotation, and evaluate their performance through both simulation and experimental datasets. Depending on the duration, the internship may cover only a subset of these tasks and can be extended into a bachelor’s or master’s thesis.

As an equal opportunity employer, Fraunhofer Italia treats all applications fairly and impartially, evaluating each candidate solely on their qualifications and suitability.

Azienda: Fraunhofer Italia Research scarl

Sede : Bolzano

Dipartimento : Automation & Mechatronics Engineering

Candidati adesso

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Voglio ricevere gli ultimi avvisi Job Alert per il ruolo di ingegnere nella seguente località: egna neumarkt, tre

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