Property:OneLineSummary
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Develop an approach to create natural clothoidal lane-change maneuvers for automobiles on lanes that are specified using B-splines. +
Apply meta-learning algorithms to unlabelled time-series data to solve machine activity recognition problems. +
Finding the best strategy to schedule a predictive maintenance intervention optimizing the cost of unexpected breakdowns against unuseful visits to the workshop. +
To build a hybrid map by augmenting the intrinsic kinematic model of a mobile robot to a spatial map, and semi-supervised learning of meanings towards self/situation awareness. +
Build foundations for our mixed-reality platform by integrating and demonstrating an extensible system with one or more robots, a simulator, some offboard sensors, and simple teleoperation. +
Design, development, and evaluation of a mobile app for the protection of Vulnerable Road Users in a test track +
Pilot study about a small interactive mobile robots for therapy and healthcare in homes. +
Group users within a federated learning environment into different learning overlays according to their behavioural similarities +
Finding good representations for data-driven description of Volvo truck's repair and maintenance history +
Modelling the behaviour of agents (manual driven forklift trucks, other robots, humans etc.) in a warehouse environment +
Challenges in Model-Based Testing of Zero-Copy Protocols +
An analysis of self rated health data +
Modeling Electronic Health Record (EHR) data and predict future events for specific patients +
The goal of this project is to develop a health recommender system using existing machine learning techniques. +
Modelling behavior and interaction of road users in transportation systems +
Modeling the bahevaior of the vehicles/drivers exploiting the vehicles usage in different context. +
Multi-Sensor Fusion for Semantic Scene Understanding +
Camera, LiDAR, and Radar based weather type classification using deep neural networks on the K-RADAR dataset +
develop and evaluate how well a multimodal model derived from the regional healthcare information platform, with or without the CT-derived measures, can predict the risk of subsequent osteoporotic fracture, myocardial infarction and stroke +
The project aims to coordinate motion of multiple robots to accomplish a single task +
