Browsing Fakultät für Mathematik und Informatik (inkl. GAUSS) by Advisor "Wörgötter, Florentin Prof. Dr."
Now showing items 1-20 of 20
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Action understanding and prediction during inter-agent interaction
(2024-06-17)The utilisation of robotics has seen a significant rise over the years, particularly fuelled by the burgeoning advancements in deep learning and artificial intelligence research and development. Despite this progress, the ... -
Simulated Mental Imagery for Image Synthesis and its Application in Robotic Planning
(2024-06-05)The autonomy of robots is a prominent research focus in the field of robotics. A key aspect is endowing robots with the ability to accurately perceive the environment and to plan for specific tasks, which poses a considerable ... -
Interpreting and visualizing the decisions of Deep Neural Networks
(2023-04-20)Machine learning and its associated algorithms involving deep neural networks have gained widespread admiration in the computer vision domain. In this regard, significant progress has been made in automating certain ... -
6D-Posenbestimmung und 3D-Objektrekonstruktion mittels der 2D-Form von Bildsegmenten
(2022-04-14)This thesis presents a template-based method for the calculation of the 6D pose with a following 3D reconstruction of objects in a scene. In applications for computer-aided manipulations, e.g., in the field of robotics, ... -
Machine Learning-Based Analysis of Bird Vocalizations
(2022-04-01)Acoustic signals are rich in information content. For humans the skill of listening to sounds and extracting relevant information comes effortlessly. However, for computers this task is quite challenging. Machine hearing ... -
Graph-based Object Understanding
(2021-06-18)Computer Vision algorithms become increasingly prevalent in our everyday lives. Especially recognition systems are often employed to automatize certain tasks (i.e. quality control). In State-of-the-Art approaches global ... -
An Intelligent Visual Analysis Scheme for Automatic Disassembly Processes in the Recycling Industry
(2021-04-30)This thesis aims to develop and deploy a visually intelligent disassembly scheme to automate the recycling routines for end-of-life products. The recent developments in artificial intelligence and computer vision are ... -
Spatio-temporal reasoning for semantic scene understanding and its application in recognition and prediction of manipulation actions in image sequences
(2020-04-21)Human activity understanding has attracted much attention in recent years, due to a key role in a wide range of applications and devices, such as human- computer interfaces, visual surveillance, video indexing, intelligent ... -
Action-oriented Scene Understanding
(2019-09-20)In order to allow robots to act autonomously it is crucial that they do not only describe their environment accurately but also identify how to interact with their surroundings. While we witnessed tremendous progress in ... -
Deep Learning Metadata Fusion for Traffic Light to Lane Assignment
(2019-08-01)This dissertation focuses on a novel deep fusion method with heterogeneous metadata and image data to resolve the one-to-many traffic light to lane assignment problem. The traffic light to lane assignment belongs to the ... -
From low level perception towards high level action planning
(2018-11-23)Nowadays, robots become more and more integrated into everyday life. Smartphones, desktop computers, and even cars can be thought of as robots, even though probably not autonomous robots. Many discussions about the term ... -
Development and analysis of a library of actions for robot arm-hand systems
(2016-10-26)The ability to perform human-like manipulation actions using artificial robots is a major requirement in service robotics. This is a problem related to both high-level symbolic reasoning and low-level control systems. This ... -
Visual Perception of Objects and their Parts in Artificial Systems
(2015-11-02)Humans are able to perceive their surrounding apparently with ease. Without much thinking we can process the complex visual stream into meaningful entities which we call objects. How we do this remains an open question ... -
Adaptive neuromechanical control for energy-efficient and adaptive compliant hexapedal walking on rough surfaces
(2015-06-12)The control of multi-legged animal walking is a neuromechanical process where the nervous system produces neural signals to activate the muscles for driving the skeletons (e.g., legs and joints). To model and achieve this ... -
Robust Electromyography Based Control of Multifunctional Prostheses of The Upper Extremity
(2015-03-25)Multifunctional, highly dexterous and complex mechanic hand prostheses are emerging and currently entering the market. However, the bottleneck to fully exploiting all capabilities of these mechatronic devices, and to making ... -
Perceptual Segmentation of Visual Streams by Tracking of Objects and Parts
(2014-11-27)The ability to parse visual streams into semantically meaningful entities is an essential element of intelligent systems. This process - known as segmentation - is a necessary precursor to high-level behavior which uses ... -
Compression of visual data into symbol-like descriptors in terms of a cognitive real-time vision system
(2012-10-16)Humans have main senses: sight, hearing, touch, smell, and taste. Most of them combine several aspects. For example vision addresses at least three perceptual modalities: motion, color, and luminance. Extraction of these ... -
Semantic analysis of image sequences using computer vision methods
(2012-10-11)Observing, learning, and imitating human skills are intriguing topics in cognitive robotics. The main problem in the imitation learning paradigm is the policy development. Policy can be defined as a mapping from an ... -
Bayes Filters with Improved Measurements for Visual Object Tracking
(2012-03-22)Visual object tracking uses cameras to track target objects in the environment, which has many applications nowadays, such as intelligent surveillance, medical care, intelligent transportation ... -
Early Cognitive Vision: Feedback Mechanisms for the Disambiguation of Early Visual Representation
(2008-04-25)Recent years have seen considerable progress in low level image processing as well as model based, vision applications. Joining the two fields proves to be a difficult problem due to the local ambiguity and noisiness ...