Essays about: "State estimation"

Showing result 16 - 20 of 387 essays containing the words State estimation.

1. 16. Generation of a metrical grid informed by Deep Learning-based beat estimation in jazz-ensemble recordings

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Andres Alonso Toledo Carrera; [2023]
   Keywords : Beat tracking; Metrical grid; Jazz; Music Information Retrieval; Deep Learning; Temporal Convolutional Network; Beatuppskattning; Metriskt rutnät; Jazz; Music Informationshämting; Deep Learning; Temporal Convolutional Network;

   Abstract : This work uses a Deep Learning architecture, specifically a state-of-the-art Temporal Convolutional Network, to track the beat and downbeat positions in jazz-ensemble recordings to derive their metrical grid. This network architecture has been used successfully for general beat tracking purposes. READ MORE

3. 17. Multi-Scale Task Dynamics in Transfer and Multi-Task Learning : Towards Efficient Perception for Autonomous Driving

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Simon Ekman von Huth; [2023]
   Keywords : Autonomous Driving; Computer Vision; Deep Learning; Machine Learning; Multi-Task Learning; Transfer Learning; Task Relationships; Task Dynamics; Python; Multi-Scale Representation Learning; Fuss-Free Network; Självkörande Fordon; Datorseende; Djupinlärning; Maskininlärning; Multiuppgiftsinlärning; Överföringsinlärning; Uppgiftsrelationer; Uppgiftsdynamik; Python; Flerskalig Representationsinlärning; Fuss-Free Nätverk;

   Abstract : Autonomous driving technology has the potential to revolutionize the way we think about transportation and its impact on society. Perceiving the environment is a key aspect of autonomous driving, which involves multiple computer vision tasks. READ MORE

4. 18. Clustering on groups for human tracking with 3D LiDAR

   University essay from Umeå universitet/Institutionen för datavetenskap

   Author : Simon Utterström; [2023]
   Keywords : Computer Vision; Computer Science; AI; Machine Learning; clustering; Kernel Density Clustering; tracking; LiDAR; 3D LiDAR; tracking; human; pedestrian; real time; Datavetenskap; Dataseende; clustering; SLR; CVC; KDEG; KDE; Kernel Density Clustering; HDBSCAN; DBSCAN; LiDAR; point cloud; tracking; human; pedestrian;

   Abstract : 3D LiDAR people detection and tracking applications rely on extracting individual people from the point cloud for reliable tracking. A recurring problem for these applications is under-segmentation caused by people standing close or interacting with each other, which in turn causes the system to lose tracking. READ MORE

5. 19. Open-Circuit-Voltage hysteresis measurement and modelling of LiFePO4 Batteries : Master Thesis Report - 2023

   University essay from KTH/Skolan för industriell teknik och management (ITM)

   Author : Guillaume Larrat; [2023]
   Keywords : Open-Circuit-Voltage OCV Hysteresis - Voltage relaxation - Galvanostatic Intermittent Titration Technique GITT - Hysteresis modelling; Öppenkretsspännings OCV hysteres - Spänningsrelaxation - Galvanostatisk intermittent titreringsteknik GITT - Hysteresmodellering;

   Abstract : In a context of an expected increasing use of Lithium-ion batteries in the transportation sector, Volvo AB is developing its own solutions for large electric vehicles. It is then beneficial to reduce the costs, the energy demand and the raw materials demand by improving the battery systems’ performances. READ MORE

6. 20. Rotor temperature estimation in Induction Motors with Supervised Machine Learning

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Christopher Gauffin; [2023]
   Keywords : Induction motors; Supervised Machine learning; Power converters; Parameter estimation; Embedded systems; Induktionsmotorer; Övervakad maskininlärning; Strömkonverterare; Parameterestimering; Inbyggda system;

   Abstract : The electrification of the automotive industry and artificial intelligence are both growing rapidly and can be greatly beneficial for a more sustainable future when combined. Induction machines exhibit many complex relationships between physical and electromagnetic properties that must be calculated in order to produce the correct quantities of torque and speed commanded by the driver. READ MORE