About this position

A central research focus of Fraunhofer IMS is the detection of driver states. In particular, the intelligent detection of cognitive distraction is the focus of research activities. Multimodal signals are extracted from the vehicle interior (in-cabin) from video (e.g., activities, vital data), audio (e.g., audio events), and CAN data, and combined in various encoders. Building on this, a multimodal AI model based on c…

This is a short preview. Read the full posting on the source site. View Original ↗

View Full Posting & Apply

Opens the original posting on the institution’s portal

Similar positions

Other openings you might be interested in

Fraunhofer SIT · SIT - Secure Information Technology

Student / Thesis

Master's Thesis: Explainability of Transformer Models in Authorship Verification

Background/Motivation: Authorship verification (AV) is used in areas such as forensics, plagiarism detection, and fake news detection to identify the true author of a text. The goal of authorship verification (AV) is to classify whether two or more texts were written by the same author (Y) or not (N). As in most AI fields today, the most powerful models are usually based on transformer architectures. While these continuously achieve new state-of-the-art results, the application of explainability methods is mostly limited to somewhat older models or architectures. This limits the applicability…

🇩🇪 Darmstadt

No deadlineSource: Fraunhofer SIT

Fraunhofer SIT · SIT - Secure Information Technology

Student / Thesis

Master's Thesis: Detection of Suggestive Poses and Facial Expressions

Background/Motivation: For the detection of erotic and pornographic images, models that can recognise human skin, body parts, or scenes are often used. With the help of appropriate datasets [1], classification and object detection models can be trained. However, there are also images that are obviously erotic or pornographic, but cannot be recognised by conventional methods. This applies, for example, to images in which erotic poses or partial sections of pornographic scenes can be recognised. Here, poses and facial expressions can be used for classification, among other things [2].…

🇩🇪 Darmstadt

No deadlineSource: Fraunhofer SIT

Fraunhofer SIT · SIT - Secure Information Technology

Student / Thesis

Master's Thesis: Detection and Segmentation of Suggestive Clothing

Background/Motivation: Models that can recognise human skin, body parts, or scenes are often used to detect erotic and pornographic material. With the help of appropriate datasets [1], classification and object detection models can be trained. However, there are also images that are obviously erotic or pornographic, but cannot be recognised by conventional methods. This applies, for example, to people in skin-tight latex or leather clothing. Existing approaches in the field of "Human Parsing" can already segment people and their clothing well. Additionally, datasets like Fashionpedia [2]…

🇩🇪 Darmstadt

No deadlineSource: Fraunhofer SIT

Fraunhofer IMS · IMS - Mikroelektronische Schaltungen und Systeme

Student / Thesis

Abschlussarbeiten im Themenfeld: Effiziente, adaptive und dezentrale KI

Unser interdisziplinäres Team arbeitet an der Schnittstelle von Künstlicher Intelligenz, Embedded Systems und Edge Computing. Unser Ziel ist es, zukunftsweisende KI-Lösungen für ressourcenbeschränkte, dezentrale Systeme zu entwickeln – von autonomen Sensoren über vernetzte Geräte bis hin zu industriellen Anwendungen. Im Zentrum stehen Fragestellungen wie: Wie lassen sich KI-Modelle effizient auf Mikrocontrollern betreiben? Welche Methoden der Domänenadaption sind für eingebettete Devices geeignet? Welche Methoden der Domänenadaption sind für eingebettete Devices geeignet? Wie kann dezentrale…

🇩🇪 Duisburg

No deadlineSource: Fraunhofer IMS

Master's Thesis on the Topic: Development of Multimodal AI Models for Cognitive Distraction Detection

About this position

AI Application Kit

Position Details

Similar positions

Master's Thesis: Explainability of Transformer Models in Authorship Verification

Master's Thesis: Detection of Suggestive Poses and Facial Expressions

Master's Thesis: Detection and Segmentation of Suggestive Clothing

Master's Thesis: Attacking Current Backdoor Detection Methods

Master's Thesis: Localisation of Safety Neurones in Text2Image Models

Abschlussarbeiten im Themenfeld: Effiziente, adaptive und dezentrale KI