TY  - JOUR
AU  - Dózsa, Tamás
AU  - Jurdana, V
AU  - Segota, S B
AU  - Volk, János
AU  - Radó, János
AU  - Soumelidis, Alexandros
AU  - Kovács, Péter
TI  - Road Type Classification Using Time-Frequency Representations of Tire Sensor Signals
JF  - IEEE ACCESS
J2  - IEEE ACCESS
VL  - 12
PY  - 2024
SP  - 53361
EP  - 53372
PG  - 12
SN  - 2169-3536
DO  - 10.1109/ACCESS.2024.3382931
UR  - https://m2.mtmt.hu/api/publication/34786414
ID  - 34786414
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Dózsa, Tamás
AU  - Őri, P
AU  - Szabari, M
AU  - Simonyi, Ernő
AU  - Soumelidis, Alexandros
AU  - Lakatos, István
TI  - Brake Disc Deformation Detection Using Intuitive Feature Extraction and Machine Learning
JF  - MACHINES
J2  - MACHINES
VL  - 12
PY  - 2024
IS  - 4
PG  - 21
SN  - 2075-1702
DO  - 10.3390/machines12040214
UR  - https://m2.mtmt.hu/api/publication/34758553
ID  - 34758553
AB  - In this work we propose proof-of-concept methods to detect malfunctions of the braking system in passenger vehicles. In particular, we investigate the problem of detecting deformations of the brake disc based on data recorded by acceleration sensors mounted on the suspension of the vehicle. Our core hypothesis is that these signals contain vibrations caused by brake disc deformation. Since faults of this kind are typically monitored by the driver of the vehicle, the development of automatic fault-detection systems becomes more important with the rise of autonomous driving. In addition, the new brake boosters separate the brake pedal from the hydraulic system which results in less significant effects on the brake pedal force. Our paper offers two important contributions. Firstly, we provide a detailed description of our novel measurement scheme, the type and placement of the used sensors, signal acquisition and data characteristics. Then, in the second part of our paper we detail mathematically justified signal representations and different algorithms to distinguish between deformed and normal brake discs. For the proper understanding of the phenomenon, different brake discs were used with measured runout values. Since, in addition to brake disc deformation, the vibrations recorded by our accelerometers are nonlinearly dependent on a number of factors (such as the velocity, suspension, tire pressure, etc.), data-driven models are considered. Through experiments, we show that the proposed methods can be used to recognize faults in the braking system caused by brake disc deformation.
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Dózsa, Tamás
AU  - Szabari, M
AU  - Soumelidis, Alexandros
AU  - Kovács, Péter
TI  - Pole identification using discrete Laguerre expansion and variable projection
JF  - IFAC PAPERSONLINE
J2  - IFACOL
VL  - 56
PY  - 2023
IS  - 2
SP  - 3994
EP  - 3999
PG  - 6
SN  - 2405-8971
DO  - 10.1016/j.ifacol.2023.10.1379
UR  - https://m2.mtmt.hu/api/publication/34170248
ID  - 34170248
LA  - English
DB  - MTMT
ER  - 

TY  - CHAP
AU  - Dózsa, Tamás
AU  - Ámon, Attila
AU  - Braun, Ferenc
AU  - Simonyi, Ernő
AU  - Soumelidis, Alexandros
AU  - Volk, János
AU  - Kovács, Péter
ED  - Horváth, Balázs
ED  - Horváth, Gábor
TI  - Towards intelligent tire development
T2  - XIII. International Conference on Transport Sciences / XIII. Nemzetközi Közlekedéstudományi Konferencia, Győr
PB  - Közlekedéstudományi Egyesület (KTE)
CY  - Győr
SN  - 9786156443175
PY  - 2023
SP  - 145
EP  - 155
PG  - 11
UR  - https://m2.mtmt.hu/api/publication/34145789
ID  - 34145789
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Dózsa, Tamás
AU  - Radó, János
AU  - Volk, János
AU  - Kisari, Ádám
AU  - Soumelidis, Alexandros
AU  - Kovács, Péter
TI  - Road abnormality detection using piezoresistive force sensors and adaptive signal models
JF  - IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
J2  - IEEE T INSTRUM MEAS
VL  - 71
PY  - 2022
PG  - 11
SN  - 0018-9456
DO  - 10.1109/TIM.2022.3194900
UR  - https://m2.mtmt.hu/api/publication/33038760
ID  - 33038760
LA  - English
DB  - MTMT
ER  - 

TY  - GEN
AU  - Dózsa, Tamás
AU  - Radó, János
AU  - Volk, János
AU  - Kisari, Ádám
AU  - Soumelidis, Alexandros
AU  - Kovács, Péter
TI  - Abnormal road surface detection using wheel sensor data
PY  - 2021
UR  - https://m2.mtmt.hu/api/publication/32297116
ID  - 32297116
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Rödönyi, Gábor
AU  - Beintema, G I
AU  - Tóth, Roland
AU  - Schoukens, M
AU  - Pup, Dániel
AU  - Kisari, Ádám
AU  - Vigh, Zsombor
AU  - Kőrös, Péter
AU  - Soumelidis, Alexandros
AU  - Bokor, József
TI  - Identification of the nonlinear steering dynamics of an autonomous vehicle
JF  - IFAC PAPERSONLINE
J2  - IFACOL
VL  - 54
PY  - 2021
IS  - 7
SP  - 708
EP  - 713
PG  - 6
SN  - 2405-8971
DO  - 10.1016/j.ifacol.2021.08.444
UR  - https://m2.mtmt.hu/api/publication/32112845
ID  - 32112845
LA  - English
DB  - MTMT
ER  - 

TY  - CONF
AU  - Somogyi, Huba
AU  - Soumelidis, Alexandros
ED  - Barabás, István
TI  - Inerciális érzékelők tesztelése szimulációs környezetben és GNSS/IMU szenzorfúzióban való alkalmazhatóságának vizsgálata
T2  - XXVIII. Nemzetközi Gépészeti Konferencia – OGÉT 2020
PB  - Erdélyi Magyar Műszaki Tudományos Társaság (EMT)
C1  - Kolozsvár
T3  - Nemzetközi Gépészeti Találkozó (OGÉT), ISSN 2068-1267
PY  - 2020
SP  - 342
EP  - 345
PG  - 4
UR  - https://m2.mtmt.hu/api/publication/32026928
ID  - 32026928
LA  - Hungarian
DB  - MTMT
ER  - 

TY  - CHAP
AU  - Somogyi, Huba
AU  - Soumelidis, Alexandros
ED  - Kiss, Bálint
ED  - Harmati, István
ED  - Taqvi, Z
TI  - Comparison of High-Precision GNSS systems for development of an autonomous localization system
T2  - 2020 23rd International Symposium on Measurement and Control in Robotics (ISMCR)
PB  - IEEE
CY  - Piscataway (NJ)
SN  - 9781665404792
PY  - 2020
SP  - 1
EP  - 6
PG  - 6
DO  - 10.1109/ISMCR51255.2020.9263762
UR  - https://m2.mtmt.hu/api/publication/31722909
ID  - 31722909
LA  - English
DB  - MTMT
ER  - 

TY  - CHAP
AU  - Pup, Dániel
AU  - Kisari, Ádám
AU  - Vigh, Zsombor
AU  - Rödönyi, Gábor
AU  - Soumelidis, Alexandros
AU  - Bokor, József
ED  - Kiss, Bálint
ED  - Harmati, István
ED  - Taqvi, Z
TI  - Characterization of Model Uncertainty Features Relevant to Model Predictive Control of Lateral Vehicle Dynamics
T2  - 2020 23rd International Symposium on Measurement and Control in Robotics (ISMCR)
PB  - IEEE
CY  - Piscataway (NJ)
SN  - 9781665404792
PY  - 2020
SP  - 1
EP  - 4
PG  - 4
DO  - 10.1109/ISMCR51255.2020.9263745
UR  - https://m2.mtmt.hu/api/publication/31722557
ID  - 31722557
LA  - English
DB  - MTMT
ER  -