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2020 – today
- 2024
[i1]Polina Kurtser, Kailun Feng
, Thomas Olofsson, Aitor De Andres:
One-class anomaly detection through color-to-thermal AI for building envelope inspection. CoRR abs/2402.02963 (2024)- 2023
- [j10]Polina Kurtser, Stephanie Lowry:
RGB-D datasets for robotic perception in site-specific agricultural operations - A survey. Comput. Electron. Agric. 212: 108035 (2023) - [j9]Himanshu Gupta, Achim J. Lilienthal, Henrik Andreasson, Polina Kurtser:
NDT-6D for color registration in agri-robotic applications. J. Field Robotics 40(6): 1603-1619 (2023) - [j8]Himanshu Gupta, Henrik Andreasson, Achim J. Lilienthal, Polina Kurtser:
Robust Scan Registration for Navigation in Forest Environment Using Low-Resolution LiDAR Sensors. Sensors 23(10): 4736 (2023) - 2020
- [j7]Boaz Arad, Jos Balendonck, Ruud Barth, Ohad Ben-Shahar, Yael Edan, Thomas Hellström, Jochen Hemming, Polina Kurtser, Ola Ringdahl, Toon Tielen, Bart van Tuijl:
Development of a sweet pepper harvesting robot. J. Field Robotics 37(6): 1027-1039 (2020) - [j6]Polina Kurtser, Ola Ringdahl, Nati Rotstein, Ron Berenstein, Yael Edan:
In-Field Grape Cluster Size Assessment for Vine Yield Estimation Using a Mobile Robot and a Consumer Level RGB-D Camera. IEEE Robotics Autom. Lett. 5(2): 2031-2038 (2020) - [j5]Polina Kurtser, Yael Edan:
Planning the sequence of tasks for harvesting robots. Robotics Auton. Syst. 131: 103591 (2020) - [c8]Polina Kurtser, Ulf Hanell, Henrik Andreasson:
Robotic Platform for Precise Mechanical Stress Induction in Greenhouses Cultivation. CASE 2020: 1558-1565 - [c7]Polina Kurtser, Ola Ringdahl, Nati Rotstein, Henrik Andreasson:
PointNet and geometric reasoning for detection of grape vines from single frame RGB-D data in outdoor conditions. NLDL 2020: 1-6
2010 – 2019
- 2019
- [j4]Michal Levi-Bliech, Polina Kurtser, Nava Pliskin, Lior Fink:
Mobile apps and employee behavior: An empirical investigation of the implementation of a fleet-management app. Int. J. Inf. Manag. 49: 355-365 (2019) - [j3]Ola Ringdahl, Polina Kurtser, Yael Edan:
Evaluation of approach strategies for harvesting robots: Case study of sweet pepper harvesting - Category: (5). J. Intell. Robotic Syst. 95(1): 149-164 (2019) - [j2]Boaz Arad, Polina Kurtser, Ehud Barnea, Ben Harel, Yael Edan, Ohad Ben-Shahar:
Controlled Lighting and Illumination-Independent Target Detection for Real-Time Cost-Efficient Applications. The Case Study of Sweet Pepper Robotic Harvesting. Sensors 19(6): 1390 (2019) - [j1]Elie Zemmour, Polina Kurtser, Yael Edan:
Automatic Parameter Tuning for Adaptive Thresholding in Fruit Detection. Sensors 19(9): 2130 (2019) - [c6]Ola Ringdahl, Polina Kurtser, Yael Edan:
Performance of RGB-D camera for different object types in greenhouse conditions. ECMR 2019: 1-6 - 2018
- [c5]Michal Levi-Bliech, Polina Kurtser, Nava Pliskin, Lior Fink:
The effects of a fleet-Management App on Driver Behavior. ECIS 2018: 11 - [c4]Polina Kurtser, Yael Edan:
The Use of Dynamic Sensing Strategies to Improve Detection for a Pepper Harvesting Robot*This research was supported by the European Commission (SWEEPER GA no. 644313) and by Ben-Gurion University of the Negev through the Helmsley Charitable Trust the Agricultural, Biological and Cognitive Robotics Initiative, the Marcus Endowment Fund, and the Rabbi W. Gunther Plaut Chair in Manufacturing Engineering. IROS 2018: 8286-8293 - 2017
- [c3]Elie Zemmour, Polina Kurtser, Yael Edan:
Dynamic thresholding algorithm for robotic apple detection. ICARSC 2017: 240-246 - [c2]Ola Ringdahl, Polina Kurtser, Yael Edan:
Strategies for Selecting Best Approach Direction for a Sweet-Pepper Harvesting Robot. TAROS 2017: 516-525 - 2012
- [c1]Polina Kurtser, Ofer Levi, Vladimir Gontar:
Detection and Classification of ECG Chaotic Components Using ANN Trained by Specially Simulated Data. EANN 2012: 193-202
Coauthor Index
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