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Polina Kurtser

Tjänstetitel: Postdoktor Organisation: Institutionen för naturvetenskap och teknik

E-post:

Telefon: 019 301410

Rum: T1213

Polina Kurtser

Forskningsprojekt

Forskningsprojekt

Forskargrupper

Publikationer

Publikationer

Artiklar i tidskrifter |  Konferensbidrag | 

Artiklar i tidskrifter

Herck, L. v. , Kurtser, P. , Wittemans, L. & Edan, Y. (2020). Crop design for improved robotic harvesting: A case study of sweet pepper harvesting. Biosystems Engineering, 192, 294-308.
Arad, B. , Balendonck, J. , Barth, R. , Ben-Shahar, O. , Edan, Y. , Hellström, T. , Hemming, J. , Kurtser, P. & et al. (2020). Development of a sweet pepper harvesting robot. Journal of Field Robotics.
Kurtser, P. , Ringdahl, O. , Rotstein, N. , Berenstein, R. & Edan, Y. (2020). In-field grape cluster size assessment for vine yield estimation using a mobile robot and a consumer level RGB-D camera. IEEE Robotics and Automation Letters, 5 (2), 2031-2038.
Kurtser, P. & Edan, Y. (2020). Planning the sequence of tasks for harvesting robots. Robotics and Autonomous Systems, 131.
Ringdahl, O. , Kurtser, P. & Edan, Y. (2019). Evaluation of approach strategies for harvesting robots: Case study of sweet pepper harvesting. Journal of Intelligent and Robotic Systems, 95 (1), 149-164.
Levi-Bliech, M. , Kurtser, P. , Pliskin, N. & Fink, L. (2019). Mobile apps and employee behavior: An empirical investigation of the implementation of a fleet-management app. International Journal of Information Management, 49, 355-365.
Kurtser, P. & Edan, Y. (2018). The use of dynamic sensing strategies to improve detection for a pepper harvesting robot. IEEE International Conference on Intelligent Robots and Systems. Proceedings, 8286-8293.

Konferensbidrag

Kurtser, P. , Ringdahl, O. , Rotstein, N. & Andreasson, H. (2020). PointNet and geometric reasoning for detection of grape vines from single frame RGB-D data in outdoor conditions. I: Proceedings of the Northern Lights Deep Learning Workshop. Konferensbidrag vid 3rd Northern Lights Deep Learning Workshop, Tromsö, Norway 20-21 January, 2019 (ss. 1-6). NLDL.
Ringdahl, O. , Kurtser, P. & Edan, Y. (2019). Performance of RGB-D camera for different object types in greenhouse conditions. I: Libor Přeučil, Sven Behnke, Miroslav Kulich, 2019 European Conference on Mobile Robots (ECMR). Konferensbidrag vid 2019 European Conference on Mobile Robots (ECMR), Prague, Czech Republic, September 4-6, 2019 (ss. 1-6). IEEE.
Levi-Bliech, M. , Kurtser, P. , Pliskin, N. & Fink, L. (2018). The effects of a fleet-management app on driver behavior. Konferensbidrag vid 26th European Conference on Information Systems (ECIS2018), Portsmouth, UK, June 26-28, 2018..
Zemmour, E. , Kurtser, P. & Edan, Y. (2017). Dynamic thresholding algorithm for robotic apple detection. I: 2017 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC). Konferensbidrag vid IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC 2017), Coimbra, Portugal- April 26-28, 2017 (ss. 240-246). IEEE.
Ringdahl, O. , Kurtser, P. & Edan, Y. (2017). Strategies for selecting best approach direction for a sweet-pepper harvesting robot. I: Yang Gao, Saber Fallah, Yaochu Jin, Constantina Lekakou, Towards Autonomous Robotic Systems (Taros 2017). Konferensbidrag vid TAROS 2017: the 18th Towards Autonomous Robotic Systems (TAROS) Conference, University of Surrey, Guildford, UK, July 19–21, 2017 (ss. 516-525). Cham: Springer.
Ringdahl, O. , Kurtser, P. , Barth, R. & Edan, Y. (2016). Operational flow of an autonomous sweetpepper harvesting robot. Konferensbidrag vid The 5th Israeli Conference on Robotics 2016, Air Force Conference Center Hertzilya, Israel, 13-14 April, 2016.
Kurtser, P. , Arad, B. , Ben-Shahar, O. , van Bree, M. , Moonen, J. , van Tujil, B. & Edan, Y. (2016). Robotic data acquisition of sweet pepper images for research and development. Konferensbidrag vid The 5th Israeli Conference on Robotics 2016, Air Force Conference Center Hertzilya, Israel, 13-14 April, 2016.
Harel, B. , Kurtser, P. , van Herck, L. , Parmet, Y. & Edan, Y. (2016). Sweet pepper maturity evaluation via multiple viewpoints color analyses. Konferensbidrag vid CIGR-AgEng Conference, Aarhus, Denmark, 26-29 June, 2016 (ss. 1-7).
Kurtser, P. , Levi, O. & Gontar, V. (2012). Detection and classification of ECG chaotic components using ANN trained by specially simulated data. I: Engineering Applications of Neural Networks. Konferensbidrag vid International Conference on Engineering Applications of Neural Networks (ss. 193-202).