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

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7hcjzr

ppFraunhofer 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 vantaggi 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. /p pAre you a prospective student willing to undertake an experience with us? If so, apply for this position at Fraunhofer Italia! /p h3The topic: /h3 pSensor Fusion and Semantic Projection for Power Line Inspection /p pThis 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. /p pRGB 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. /p pA 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. /p h3Requirements: /h3 ul liYou are a university or high school student in a MINT discipline and looking for hands-on experience. /li liYou have knowledge of programming in C++ or Python and a basic understanding of cameras and LiDAR sensors. /li liYou work independently, systematically, and with a high level of commitment, creativity, and team spirit. /li liYou are an EU citizen or have a valid work permit for Italy. /li liYou are proficient in English; knowledge of Italian or German is an advantage. /li liThe internship is carried out in presence at our premises in Bolzano. /li /ul h3Your task: /h3 pYour 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. /p pAs an equal opportunity employer, Fraunhofer Italia treats all applications fairly and impartially, evaluating each candidate solely on their qualifications and suitability. /p /p #J-18808-Ljbffr

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7hcjzr