Small model of self driving car

Mr. Arpit Bodhale; Mrs. Pushpa Tandekar; Mr. Ashish Deharkar

doi:10.59367/m95z7a34

Authors

Mr. Arpit Bodhale Department of CSE Shri Sai college of Engineering and Technology Chandrapur ,India
Mrs. Pushpa Tandekar Assistant professor Department of CSE Shri Sai college of Engineering and Technology Chandrapur,India
Mr. Ashish Deharkar Assistant professor Department of CSE Shri Sai college of Engineering and Technology Chandrapur,India

DOI:

https://doi.org/10.59367/m95z7a34

Keywords:

open computer vision, machine learning, artificial intelligence, internet of things.

Abstract

This paper is intended to represent a small version of a Self-driving car with the help of IoT and AI using Raspberry Pi and Arduino UNO. The high-resolution Pi camera provides the necessary information. Raspberry Pi analyses and acquires data samples and will train in Pi using neural networks and machine learning algorithms that will help to detect lanes and traffic lights and cars alternate accordingly. In addition to these features the car will be overtaking with the appropriate LED indications on coming across any obstacles.

References

A. K. Jain, "Working model of Self-driving car using Convolutional Neural Network, Raspberry Pi and Arduino," 2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA), 2018, pp. 1630-1635, doi: 10.1109/ICECA.2018.8474620.

Raivo Sell, Anton Rassõlkin, Mairo Leier, Juhan-Peep Ernits, “Self-driving car ISEAUTO for research and education”in 19th international conference on Research and Education in Mechatronics (REM), IEEE, 2018, pp: 111-116.

T. Banerjee, S. Bose, A. Chakraborty, T. Samadder, Bhaskar Kumar, T.K. Rana, “Self Driving Cars: A Peep into the Future”,IEEE, 2017.

Qudsia Memon, Muzamil Ahmed and ShahzebAli, “SelfDriving and Driver Relaxing Vehicle”, in IEEE 2016.

Mohammad Faisal Bin Ahmed, Md. Saef Ullah Miah, Md. Muneef Anjum Timu, Shakura Akter, Md. Sarker.b, “The Issues and the Possible Solutions for Implementing Self Driving Cars in Bangladesh” in Regin 10 Humanitarian Technology Conference(R10- HTC), IEEE,2017.

Ruturaj Kulkarni, Shruti Dhavalikar, Sonal Bangar, “Traffic Light Detection and Recognition for Self Driving Cars using Deep Learning” in 4th International Conference on Computing Communication Control and Automation(ICCUBEA), IEEE, 2018

Chun-Che Wang, Shih-Shinh Huang and Li-Chen Fu, PeiYung Hsiao “Driver Assistance System for Lane Detection and Vehicle Recognition with Night Vision”.

Lowlesh Nandkishor Yadav, “Predictive Acknowledgement using TRE System to reduces cost and Bandwidth” IJRECE VOL. 7 ISSUE 1 (JANUARY -MARCH 2019) pg no 275-278