Jan Kadeřábek

Mr. Jan Kadeřábek

orcid

Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 March 2022 in Ecological Informatics
Verified
Journal Article
Open access
KKKateřina Křížová
Kateřina Křížová
JKJan Kadeřábek
Jan Kadeřábek
VNVáclav Novák
Václav Novák
RLRostislav Linda
Rostislav Linda
GKGabriela Kuresova
Gabriela Kuresova
Petr ŠařecPetr Šařec
Petr Šařec

23 November 2021 in Sensors
Verified
Journal Article
Open access
PDF file
JKJan Kadeřábek
Jan Kadeřábek
VSVadym Shapoval
Vadym Shapoval
PMPavel Matějka
Pavel Matějka
MKMilan Kroulik
Milan Kroulik
FKFrantišek Kumhala
František Kumhala
While the existing research provides a wealth of information about the static properties of RTK receivers, less is known about their dynamic properties, although it is clear that the vast majority of field operations take place when the machine is moving. A new method using a MRA for the evaluation of RTK receivers in movement with a precise circular reference trajectory (r = 3 m) was proposed. This reference method was developed with the greatest possible emphasis on the positional, time and repeatable accuracy of ground truth. Four phases of the measurement scenario (static, acceleration, uniform movement and deceleration) were used in order to compare four different types of RTK receiver horizontal operation accuracy over three measurement days. The worst result of one of the receivers was measured at SSR = 13.767% in dynamic movement. Since the same “low-cost” receiver without an INS unit had SSR = 98.14% in previous static measurements, so it can be assumed that the motion had a very significant effect on the dynamic properties of this receiver. On the other hand, the best “high-end” receiver with an INS unit had SSR = 96.938% during the dynamic testing scenarios. The median values of the deviations were always better during uniform movements than during acceleration or braking. In general, the positioning accuracy was worse in the dynamic mode than in the static one for all the receivers. Error indicators (RMSerr and Me) were found several times higher in the dynamic mode than in the static one. These facts should be considered in the future development of modern agricultural machinery and technology.

23 November 2021
Verified
Conference Paper
Closed access
OLOndřej Lufinka
Ondřej Lufinka
JKJan Kadeřábek
Jan Kadeřábek
JPJuraj Prstek
Juraj Prstek
JSJiří Skála
Jiří Skála
KKKamil Kosturjk
Kamil Kosturjk
This paper deals with sensors and localization methods suitable for Autonomous Robotic Platform (ARP). Such a platform is used for ADAS (Advanced Driver Assistance Systems) testing in automotive. At the beginning, the paper gives an introduction to the project and then it focuses on its key aspect that is the comparison of different solutions for localization of these platforms. Various sensors are compared with a reference position and the results are discussed in the conclusion.