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Previous     Results 51 – 96    Next        (20 | 50 | 100 | 250 | 500)
  Supervisors OneLineSummary
Model behaviour of agents in a warehouse setting Björn Åstrand
Naveed Muhammad
Modelling the behaviour of agents (manual driven forklift trucks, other robots, humans etc.) in a warehouse environment
Modeling and Exploration of Self Rated Health Data using Machine Learning Sławomir Nowaczyk
Anita Sant'Anna
Parivash Pirasteh
An analysis of self rated health data
Modelling behavior and interaction of road users in transportation systems Björn Åstrand
Cristofer Englund
Modelling behavior and interaction of road users in transportation systems
Modelling vehicles'/drivers' behaviour using LVD Reza Khoshkangini Modeling the bahevaior of the vehicles/drivers exploiting the vehicles usage in different context.
Multi-robot coordination in a warehouse Jennifer David
Björn Åstrand
The project aims to coordinate motion of multiple robots to accomplish a single task
Multi-robot trajectory adaptation using a state-time elastic band approach Roland Philippsen
Jennifer David
For teams of robots moving through dynamic environments, deform planned trajectories in space and time such that they remain collision-free and reach the goal (if possible) or report failure if replanning is needed.
NOMAD Thorsteinn Rögnvaldsson
Stefan Byttner
Nonlinear methods for accurate deviation detection (NOMAD)
Name of the new projectEstimating agricultural development indicators over large areas from satellite images – an approach using convolutional neural networks and transfer learning Mattias Ohlsson
Thorsteinn Rögnvaldsson
In this project you will use deep learning models, specifically convolutional neural networks (CNN), to analyze satellite imagery to estimate agricultural development indicators.
Object Detection for Autonomous Vehicles Eren Erdal Aksoy Implementing a single-stage deep network to detect vehicles in the segmented 3D LiDAR point cloud
Object Movement Prediction for Autonomous Cars Tiago Cortinhal Predicting the movement of objects in the context of autonomous cars
On control of robots in remote workspaces using lasers Björn Åstrand
Jennifer David
Supervised autonomy for controlling robots at remote locations. Lasers and ultrasonic ranging to be used.
On detecting deviations by autonomously discovering district heating control strategy used by buildings Shiraz Farouq
Sławomir Nowaczyk
autonomously detect control strategy and building type from district heating data
One dimensional frequency decomposition of oriented local images applied to fingerprints Josef Bigun Study and develop 1D continuous frequency fitting of a predetermined number of (oriented) sinusoids to images which are strongly oriented locally, in particular forensic fingerprints.
Pallet Detection and Mapping Björn Åstrand
Saeed Gholami Shahbandi
Pallet Detection and Mapping in a Warehouse Environment
Peer Group Discovery in District Heating Substations and Heat Pumps for Self-Monitoring Ece Calikus
Sławomir Nowaczyk
Finding suitable peer groups to represent district heating and heat pump customers
Piglets Detection and Counting using Deep Neural Networks Peter Berck
Sepideh Pashami
Piglets Detection and Counting using Deep Neural Networks
Positioning of the user at the HINT Abbas Orand & Per Sandrum The positioning of the user at the Halmstad intelligent home (HINT).
Prediction of neurodegenerative disorders based on brain images Farzaneh Etminani
Stefan Byttner
prediction of neurodegenerative disorders based on brain images using deep learning algorithms
Protecting bikers in traffic by computer vision Josef Bigun Protecting bikers in traffic by computer vision
Real-time Motion Analysis using Inertial Sensors Siddhartha Khandelwal
Nicholas Wickström
Develop a real-time (online) algorithm that can detect walking events from accelerometer signals.
Recognition of Human Intentions for Automated Cars Cristofer Englund
Sławomir Nowaczyk
Recognition of Human Intentions for Automated Cars
Recognition of logotypes and signs in photos Josef Bigun Recognizing man-made 2D objects such as logotypes in photos of human environments
Reinforcement learning for End-to-End autonomous driving Cristofer Englund
Alexey Voronov
Nicholas Wickström
By using image data as input, and the vehicle steering and acceleration as output control signals, investigate how machine learning can control a vehicle.
Replacements vs repairs. What is really a breakdown from the point of view of the data? Pablo del Moral
Sławomir Nowaczyk
Finding ways to test how similar or different are the actions performed on a faulty machine. How does the effect of an intervention on the machine affect the data?
Representation Learning for Deviation Detection Sławomir Nowaczyk
Yuantao Fan
Optimise Echo State Networks for time series forecasting and reconstruction. Propose methods, e.g. objective functions, to train Echo State Networks for deviation detection
Resolving Class Imbalance using Generative Adversarial Networks Sepideh Pashami
Peter Berck
Resolving Class Imbalance using Generative Adversarial Networks
Safe deployment of Deep Neural Networks in automotive engineering Cristofer Englund
Sepideh Pashami
Evaluation of DNN factors with respect to robustness in safety critical systems.
Safety assurance for human in automated crane environment Björn Åstrand
Josef Bigun
safety assurance for human in automated crane environment
Segmentation and object identification in warehouse environments using machine learning Björn Åstrand
Naveed Muhammad
Segmentation and object identification in warehouse environments using machine learning
Segmentation of shoeprints Anna Mikaelyan
Josef Bigun
Finding boundaries of homogeneous regions in shoeprint images
Self-adaptive Recommender System In Conditional Context Reza Khoshkangini In this project we intend to develop an adaptive system that can adapt itself --based on different context-- at providing service to conditional preference of users which change over time.
Short-Term Energy Demand Forecasting Anita Sant'Anna
Sławomir Nowaczyk
Hassan Mashad Nemati
Forecasting the electricity consumption based on historical usage by using smart meter data
Smart App for PD Anita Sant'Anna A smart-watch app for monitoring symptoms in Parkinson's Disease
Smart City Monitoring Using Ontology-based Machine Learning Sławomir Nowaczyk
Ece Calikus
The aim of this project is to create ontology-based supervised and unsupervised machine learning methods for self monitoring to improve reliability of complex environments in smart cities
Smart meters' data analysis Hassan Mashad Nemati
Sławomir Nowaczyk
Customer characterization, customer classification and anomaly detection
Something to do with social robots Martin Cooney
Eren Erdal Aksoy
Fernando Alonso-Fernandez
Robot Exercise Coach
Speaker/speech recognition and engagement Taha Khan
Oskar Lundgren
Algorithms, sensors and devices for recognizing speaker as well as spoken words and engagement from an arbitrary number of people in a conversation
Surface normal estimation by Spiral Codes Josef Bigun Estimating 3d surface normal from a single image
Thermal Profiling of Residential Energy Consumption for Heat Pump and District Heating Customers Ece Calikus
Sławomir Nowaczyk
Finding interesting patterns of heat pump and district heating customers in order to identify meaningful thermal profiles
Transfer Learning for Machine Diagnostics and Prognostics Yuantao Fan
Sepideh Pashami
Mohammad Ghaith Altarabichi
Develop a deep adversarial neural networks (DANN) based method to predict failures and estimate machine health, under transfer learning settings.
Understand Patterns in Volvo Truck Lifetime Repair History Sławomir Nowaczyk
Sepideh Pashami
Fredrik Moeschlin (at Volvo)
A project in collaboration with Volvo AB on finding good representations for data-driven description of Volvo truck's repair and maintenance history
Understanding Applicability of Echo State Networks to Diverse Industrial Data Shiraz Farouq
Sławomir Nowaczyk
Understanding the Governing Dynamics of Echo State Networks (ESN) on time varying signals (in terms of properties) from different industry sources.
Understanding usage of Volvo trucks Sławomir Nowaczyk
Fredrik Moeschlin (at Volvo)
A project in collaboration with Volvo AB on understanding vehicle usage patterns.
Using Deep Q-Learning (Alpha-Go algorithm) to solve routing problems in warehouse logistics Jennifer David
Thorsteinn Rögnvaldsson
Solving the famous vehicle-routing problem using Deep Q-Learning
Value of BIG DATA for Large Building Owners Sepideh Pashami It is an explanatory project with a company called Mutual Benefits Engineering AB
Wisdom of the crowd, is there a single crowd? Pablo del Moral
Sławomir Nowaczyk
Finding different clusters of machines based on their behavior as a first step towards anomaly detection and predictive maintenance.
Previous     Results 51 – 96    Next        (20 | 50 | 100 | 250 | 500)