Raspberry Pi Based Intelligent Autonomous Campus Mobility Services

Authors

  • V. K. Arthikeyani  UG, Department of Electronics and Communication, SNS College of Technology, Coimbatore, Tamil Nadu, India
  • N.Kirubhasudha  UG, Department of Electronics and Communication, SNS College of Technology, Coimbatore, Tamil Nadu, India
  • S. Kiruthika  UG, Department of Electronics and Communication, SNS College of Technology, Coimbatore, Tamil Nadu, India
  • T. Monisha  UG, Department of Electronics and Communication, SNS College of Technology, Coimbatore, Tamil Nadu, India
  • Dr. B. Sivasankari  Associate Professor, Department of Electronics and Communication, SNS College of Technology, Tamil Nadu, India

Keywords:

Raspberry pi, Pi camera, RFID technology, GPS

Abstract

This paper represent driverless car is an unmanned vehicle capable of sensing its environment and navigating without human input. The technology plays an important role in our life. Trending methods in transportation is emerging in order to put the people in comfort zone. By using driverless car, the presence of private automobiles on campuses due to teaching and research disturbances, visual degradation from parking provision, environmental pollution and negative health effects can be reduced. Conventional shuttle systems suffer from first and last mile problem. A bicycle and pedestrian friendly policy is not a generalizable solution for all geographic locations and campus layout. A driverless taxi service as an alternative point-to-point shared mobility system for campuses. In the existing system, the GPS is used for tracking and laser sensor used for identifying moving obstacles. In the proposed system, RFID technology is implemented for tracking the locations instead of GPS and Pi camera for pre identifying the destination path and to identify the obstacles

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2018-02-28

Issue

Volume 3, Issue 1, January-February-2018

Section

Research Articles

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Copyright (c) IJSRCSEIT

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
V. K. Arthikeyani, N.Kirubhasudha, S. Kiruthika, T. Monisha, Dr. B. Sivasankari, " Raspberry Pi Based Intelligent Autonomous Campus Mobility Services, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 1, pp.1457-1461, January-February-2018.