Mesut Kaya

Mr. Mesut Kaya

orcid

Research Focus & Metrics

Academic Career Length

4Years (2023-Present)

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

Representative Publications

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23 October 2023 in Akıllı Ulaşım Sistemleri ve Uygulamaları Dergisi
Verified
Journal Article
Closed access
EHEmrecan Hatipoğlu
Emrecan Hatipoğlu
MAMert Kadir Assoy
Mert Kadir Assoy
Mesut KayaMesut Kaya
Mesut Kaya
MEMert Ezi̇m
Mert Ezi̇m
MOMete Oğuz
Mete Oğuz
EKEMIR KUTLUAY
EMIR KUTLUAY
The aim of the paper is to propose collision-free path planning algorithm for autonomous parallel parking based on Ackermann steering geometry. A geometrical path planning algorithm has been employed for generating a path that is based on two straight lines and two identical circles. The algorithm is taking into account that the left side of the street is taken as another parking slot occupied by full of cars. The ego’s kinematics model appropriate for the low-velocity parking scenario and the maximum allowable steering angle for the narrow streets is used in the path planning stage by considering mechanical and environmental limits. According to the steering angle, required length of the parking space is obtained. The algorithm can adapt itself according to the lateral position of the ego in case it is parallel to other parked cars. The steering angle to be used and the required parking space length according to the lateral position of the vehicle in the environmental model are given with graphics.

12 August 2026 in Machines
Verified
Journal Article
Open access
PDF file
ABDUL MOIZ AWANABDUL MOIZ AWAN
ABDUL MOIZ AWAN
BCBaslamisli S. Caglar
Baslamisli S. Caglar
Mesut KayaMesut Kaya
Mesut Kaya
EHEmrecan Hatipoğlu
Emrecan Hatipoğlu
OBOğuzhan Bayram
Oğuzhan Bayram
MGMustafa Golec
Mustafa Golec
Heavy-vehicle Anti-lock Braking System (ABS) controllers are commonly tested using simulations before vehicle testing, but pneumatic actuation and measurement limitations can affect the results in the field. This paper presents the complete design process of a pneumatic ABS controller. System identification tests, estimation experiments, and reverse engineering methods were used to develop the models used for testing, including a vehicle model, pneumatic circuit model, etc. Model-in-the-loop (MIL) and software-in-the-loop (SIL) simulations were used to test and validate the algorithm in the simulation environment. Hardware-in-the-loop (HIL) simulations were also used to test and tune the ABS algorithm using a physical pneumatic circuit before real vehicle testing. Lastly, the ABS controller was deployed to a custom ECU and tested on the real vehicle on dry and wet asphalt. The developed controller prevented sustained wheel lock and produced repeatable deceleration and stopping-distance results during dry- and wet-asphalt testing. Qualitative assessment by the test driver and engineering team also indicated ABS intervention and modulation characteristics broadly consistent with commercial alternatives.