Speed Calibration for Mobile Robot As Prototypes to Smart Vehicles

Zulfikri Paidi; Nurzaid Muhd Zain; Mahfudzah Othman; Siti Hajar Mohd Mokhtar

doi:10.24191/jcrinn.v5i4.168

Speed Calibration for Mobile Robot As Prototypes to Smart Vehicles

Authors

Zulfikri Paidi Universiti Teknologi MARA, Perlis Branch, Arau Campus
Nurzaid Muhd Zain Universiti Teknologi MARA, Perlis Branch, Arau Campus
Mahfudzah Othman Universiti Teknologi MARA, Perlis Branch, Arau Campus
Siti Hajar Mohd Mokhtar Universiti Teknologi MARA, Perlis Branch, Arau Campus

DOI:

https://doi.org/10.24191/jcrinn.v5i4.168

Keywords:

Mobile robot, calibration, Arduino, rotary encoder

Abstract

Many studies have been done to find the best formula in building a vehicle with self-driving ability. In order for the vehicle to be smart and able to drive on its own, several factors need to be improved. One of the factors is the ability to make decisions. This research conducted experiments on small-scale mobile robots - also known as robot cars - as prototypes to smart vehicles to find the appropriate value for the driving speed of the vehicle after calibration. The study was conducted using Arduino board hardware, remote robot cars, remote controls for remote robot cars, and rotary encoders. Three main experiments were completed to test the calibrated speed values, namely first test on straight line, test on corner lane, and last test on combination of straight path & corner lane. Simulations for road routes are also made using cardboard, sandpaper and carpet. The results of experimental analysis found that as the speed of a robot car increases, the longer it takes to make a single wheel rotation.

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References

Costa, L., Rauen, M., & Fronza, A. (2020). Car speed estimation based on image scale factor. Forensic Science International, 310, 110229. doi: 10.1016/j.forsciint.2020.110229.

Verma, A., & Tandan, S. R. (2020). A Comparative Paper on Real time road, object & Passenger detection system for Driver less Car. Mukt Shabd Journal, Volume IX, Issue VI, JUNE/2020. ISSN NO : 2347-3150.

Badue, C., Guidolini, R., Carneiro, R. V., Azevedo, P., Cardoso, V. B., Forechi, A., ... & de Paula Veronese, L. (2020). Self-driving cars: A survey. Expert Systems with Applications, 113816.

Wang, L., & Horn, B. K. (2020). Time-to-contact control: improving safety and reliability of autonomous vehicles. International Journal of Bio-Inspired Computation, 16(2), 68-78.

Censi, A., Franchi, A., Marchionni, L., & Oriolo, G. (2013) Simultaneous Calibration of Odometry and Sensors Parameters for Mobile Robots. IEEE Transactions on Robotics. 29(2). pp. 475-492.

Borestein, J. & Feng, L., (1996). Measurement and Correction of Systematic Odometry Errors in Mobile Robots. IEEE Transactions on Robotics and Automation. 12 (6), pp.869-880.

Borestein, J. & Feng, L., (1995). Correction of Systematic Odometry Errors in Mobile Robot. In : Proceedings of IPOS 1995, pp. 569-574. Pittsburgh, Pennsylavania.