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ORCIDLukasz Chechlinski
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2010 – 2019
- 2019
[j3]Lukasz Chechlinski
, Barbara Siemiatkowska, Michal Majewski:
A System for Weeds and Crops Identification - Reaching over 10 FPS on Raspberry Pi with the Usage of MobileNets, DenseNet and Custom Modifications. Sensors 19(17): 3787 (2019)- [c3]Daniel Koguciuk, Lukasz Chechlinski, Tarek El-Gaaly:
3D Object Recognition with Ensemble Learning - A Study of Point Cloud-Based Deep Learning Models. ISVC (2) 2019: 100-114 - [i1]Daniel Koguciuk, Lukasz Chechlinski:
3D Object Recognition with Ensemble Learning - A Study of Point Cloud-Based Deep Learning Models. CoRR abs/1904.08159 (2019) - 2018
- [c2]Lukasz Chechlinski, Barbara Siemiatkowska, Michal Majewski:
A System for Weeds and Crops Identification Based on Convolutional Neural Network. AUTOMATION 2018: 193-202 - [c1]Anna Sztyber, Lukasz Chechlinski, Michal Syfert, Pawel Wnuk, Piotr Lipnicki, Daniel Lewandowski:
Analysis of Applicability of Deep Learning Methods in Compressor Fault Diagnosis. DX 2018 - 2017
- [j2]Lukasz Chechlinski, Daniel Koguciuk:
A Comprehensive Aproach to Teaching Mobile Robotics. J. Autom. Mob. Robotics Intell. Syst. 11(3): 7-14 (2017) - 2015
- [j1]Barbara Siemiatkowska, Bogdan Harasymowicz-Boggio, Lukasz Chechlinski:
Semantic Place Labeling Method. J. Autom. Mob. Robotics Intell. Syst. 9(1): 28-33 (2015) - [p2]Bogdan Harasymowicz-Boggio, Lukasz Chechlinski, Barbara Siemiatkowska:
Nature-Inspired, Parallel Object Recognition. Progress in Automation, Robotics and Measuring Techniques 2015: 53-62 - [p1]Maciej Przybylski, Daniel Koguciuk, Barbara Siemiatkowska, Bogdan Harasymowicz-Boggio, Lukasz Chechlinski:
Integration of Qualitative and Quantitative Spatial Data within a Semantic Map for Service Robots. Progress in Automation, Robotics and Measuring Techniques (2) 2015: 223-232
Coauthor Index
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