Autonomous remote controlled car using machine learning techniques

Authors

  • Rajendra AB Department of Information Science and Engineering, Vidyavardhaka College of Engineering, Mysuru, INDIA
  • Rajkumar N Accendere Knowledge Management Services Pvt. Ltd, New Delhi
  • Shreyas V Department of Information Science and Engineering, Vidyavardhaka College of Engineering, Mysuru, INDIA

Keywords:

Automation, Raspberry Pi module, self driving, sensors, prototype

Abstract

As an autonomous car, a car that can move on its own without being dependent on human outputs. In the automotive sector, there has been a huge advancement that brings fresh innovations every day. We addressed the implementation of the autonomous car using machine learning methods in this paper. We used a remote-controlled car with a Raspberry Pi module and a Raspberry Pi camera module installed on top. The camera module would provide pictures required to train the neural network and in the automated mode in the training mode would provide the pictures to the qualified template to estimate the car's motions and orientation.

References

P. Gautham, ―Google driverless car technical seminar report,‖ 2017.

Tanveer Hossen Sakkhor, Samin Saksiat Zaman, Md. Arafat Al Sadi, and Abdullah Al Nayeem Mahmud-, ―Autonomous Car Using Full Mapping GPS System,‖ BRAC University, 2015.

T. Luettel, M. Himmelsbach, and H.-J. Wuensche, ―Autonomous Ground Vehicles—Concepts and a Path to the Future,‖ Proc. IEEE, vol. 100, no. Special Centennial Issue, pp. 1831–1839, May 2012.

S. Thrun, W. Burgard, and D. Fox, Probabilistic robotics. MIT Press, London, 2006.

N. Chakraborty and R. Singh Patel, ―Intelligent Agents and Autonomous Cars : A Case Study,‖ Int. J. Eng. Res. Technol., vol. 2, no. 1, pp. 1–8, 2013.

D. Anguelov et al., ―Google Street View: Capturing the World at Street Level,‖ Computer (Long. Beach. Calif)., vol. 43, no. 6, pp. 32–38, Jun. 2010.

J. Moras, V. Cherfaoui, and P. Bonnifait, ―A lidar perception scheme for intelligent vehicle navigation,‖ in 2010 11th International Conference on Control Automation Robotics & Vision, 2010, pp. 1809–1814.

A. Frome et al., "Large-scale privacy protection in Google Street View," 2009 IEEE 12th International Conference on Computer Vision, Kyoto, 2009, pp. 2373-2380. doi: 10.1109/ICCV.2009.5459413.

R. Isermann, ―Fault-tolerant components for driveby-wire systems,‖ ATZ Worldw., vol. 104, no. 4, pp. 20–24, Apr. 2002.

Chris Giarratana, ―Autonomous Car Technology - Past, Present, and Future » Traffic Safety Resource Center,‖ 2016. [Online]. Available: https://www.trafficsafetystore.com/blog/autonomous-car-technology/. [Accessed: 03-March-2019].

J. M. Anderson, N. Kalra, K. D. Stanley, P. Sorensen, C. Samaras, and O. A. Oluwatola, Autonomous Vehicle Technology: A Guide for

Policymakers. RAND Corporation, Santa Monica, Calif. 2016.

Deswal S, Narang R, Chhabra D. Modeling and parametric optimization of FDM 3D printing process using hybrid techniques for enhancing dimensional preciseness. International Journal on Interactive Design and Manufacturing (IJIDeM). 2019:1-8.

Downloads

Published

2024-02-26

How to Cite

Rajendra, A. B., N, R., & V, S. (2024). Autonomous remote controlled car using machine learning techniques. COMPUSOFT: An International Journal of Advanced Computer Technology, 8(08), 3307–3311. Retrieved from https://ijact.in/index.php/j/article/view/520

Issue

Section

Original Research Article

Similar Articles

1 2 3 4 5 > >> 

You may also start an advanced similarity search for this article.