Nataliya Strokina

According to our database, Nataliya Strokina authored at least 15 papers between 2011 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Visual Rewards From Observation for Sequential Tasks: Autonomous Pile Loading.

Nataliya Strokina, Wenyan Yang, Joni Pajarinen, Nikolay Serbenyuk, Joni-Kristian Kämäräinen, Reza Ghabcheloo

Frontiers Robotics AI, 2022

Evaluation and comparison of eight popular Lidar and Visual SLAM algorithms.

Bharath Garigipati, Nataliya Strokina, Reza Ghabcheloo

Proceedings of the 25th International Conference on Information Fusion, 2022

2021

Monolithic vs. hybrid controller for multi-objective Sim-to-Real learning.

Atakan Dag, Alexandre Angleraud, Wenyan Yang, Nataliya Strokina, Roel S. Pieters, Minna Lanz, Joni-Kristian Kämäräinen

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Neural Network Controller for Autonomous Pile Loading Revised.

Wenyan Yang, Nataliya Strokina, Nikolay Serbenyuk, Joni Pajarinen, Reza Ghabcheloo, Juho Vihonen, Mohammad M. Aref, Joni-Kristian Kämäräinen

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

Learning a Pile Loading Controller from Demonstrations.

Wenyan Yang, Nataliya Strokina, Nikolay Serbenyuk, Reza Ghabcheloo, Joni-Kristian Kämäräinen

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2017

Estimation of Flow Turbulence Metrics With a Lateral Line Probe and Regression.

Ke Chen, Jeffrey A. Tuhtan, Juan Francisco Fuentes-Perez, Gert Toming, Mark Musall, Nataliya Strokina, Joni-Kristian Kamarainen, Maarja Kruusmaa

IEEE Trans. Instrum. Meas., 2017

2016

Joint Estimation of Bulk Flow Velocity and Angle Using a Lateral Line Probe.

Nataliya Strokina, Joni-Kristian Kämäräinen, Jeffrey A. Tuhtan, Juan Francisco Fuentes-Perez, Maarja Kruusmaa

IEEE Trans. Instrum. Meas., 2016

Detection of bubbles as concentric circular arrangements.

Nataliya Strokina, Jiri Matas, Tuomas Eerola, Lasse Lensu, Heikki Kälviäinen

Mach. Vis. Appl., 2016

2015

Flow feature extraction for underwater robot localization: Preliminary results.

Naveed Muhammad, Nataliya Strokina, Gert Toming, Jeffrey A. Tuhtan, Joni-Kristian Kamarainen, Maarja Kruusmaa

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

2014

Comparison of Appearance-Based and Geometry-Based Bubble Detectors.

Nataliya Strokina, Roman Juránek, Tuomas Eerola, Lasse Lensu, Pavel Zemcík, Heikki Kälviäinen

Proceedings of the Computer Vision and Graphics - International Conference, 2014

2013

Framework for developing image-based dirt particle classifiers for dry pulp sheets.

Nataliya Strokina, Aki Mankki, Tuomas Eerola, Lasse Lensu, Jari Käyhkö, Heikki Kälviäinen

Mach. Vis. Appl., 2013

Detection of Curvilinear Structures by Tensor Voting Applied to Fiber Characterization.

Nataliya Strokina, Tatiana Kurakina, Tuomas Eerola, Lasse Lensu, Heikki Kälviäinen

Proceedings of the Image Analysis, 18th Scandinavian Conference, 2013

2011

Adaptive Classification of Dirt Particles in Papermaking Process.

Nataliya Strokina, Tuomas Eerola, Lasse Lensu, Heikki Kälviäinen

Proceedings of the Image Analysis - 17th Scandinavian Conference, 2011

Improving Particle Segmentation from Process Images with Wiener Filtering.

Lauri Laaksonen, Nataliya Strokina, Tuomas Eerola, Lasse Lensu, Heikki Kälviäinen

Proceedings of the Image Analysis - 17th Scandinavian Conference, 2011

Semisynthetic Ground Truth for Dirt Particle Counting and Classification Methods.

Nataliya Strokina, Aki Mankki, Tuomas Eerola, Lasse Lensu, Jari Käyhkö, Heikki Kälviäinen

Proceedings of the IAPR Conference on Machine Vision Applications (IAPR MVA 2011), 2011