Abstract
Self-driving autonomous vehicles are the solution for enhancing mobility intelligence related to driving. This project presents effective ways for implementation of a self-driving car. Proposed work is based on Artificial Intelligence, Computer Vision and Neural Networks. The proposed technology is implemented on a mini-robot car that was built from scratch, which uses Raspberry Pi and a camera as its core. The system built runs a script for complex task handling and sending appropriate commands to the vehicle. Image Processing techniques are also issued in the proposed system to identify various objects and traffic lights on the way. The system learns to autonomously navigate through reinforcement learning. Tensor Board is used to keep track of the working and efficiency of the trained Neural Network. The efficiency of the system is recorded at 96% as of now.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Cunningham M, Regan M A (2015) Autonomous vehicles: human factors issues and future research. In: Proceedings of the 2015 Australasian Road Safety Conference (ARSC 2015) Gold Costs, Australia, pp 14–16, Oct 2015
Brown B (2016) The social life of autonomous cars. Computer 50 (2): 92–96, Feb 2017. In: W Knight, New self-driving car tells pedestrians when it’s safe to cross the street, MIT Technology Review, Aug 2016
Mishra M, Srivastava M (2014) A view of artificial neural network. In: 2014 International Conference on Advances in Engineering & Technology Research (ICAETR - 2014), Unnao, 2014, pp 1–3
Johnson BD (2016) Science-fiction and the coming age of sentient tools. Computer 49(6):95–97
Kröger F (2016) Automated driving in its social historical and cultural contexts autonomous driving. Springer, Berling, pp 41–68
Greenemeier L (2017) When your self-driving car wants to be your friend too. Sci Amer
Porcheron M, Fischer JE, McGregor M, Brown B, Luger E, Candello H, O’Hara K (2017) Talking with conversational agents in collaborative action. In: Companion of the 2017 ACM conference on computer supported cooperative work and social computing, pp. 431–436
Baraniuk C (2017) CES 2017 car-makers choose virtual assistants. BBC News, Jan 2017, [online] Available http://www.bbc.com/news/technology-38526807
Cunningham M, Regan MA (2015) Autonomous vehicles: human factors issues and future research. Proceedings of the 2015 Australasian Road Safety Conference (ARSC 2015) gold costs (Australia), Oct 2015, pp 14–16
Brown B (2016) The social life of autonomous cars. Computer 50 (2): 92–96, Feb 2017. In: Knight W (ed) New self-driving car tells pedestrians when it’s safe to cross the street, MIT Technology Review, Aug 2016
Porcheron M, Fischer JE, McGregor M, Brown B, Luger E, Candello H, O’Hara K (2017) Talking with conversational agents in collaborative action. In: companion of the 2017 ACM conference on computer supported cooperative work and social computing, Feb 2017, pp 431–436
Baraniuk C (2017) CES 2017: car-makers choose virtual assistants. BBC News, Jan 2017, [online] Available http://www.bbc.com/news/technology-38526807
JAN ERIK SOLEM (2012) Programming computer vision with python
Downey AB (2015) Think Python: how to think like a computer scientist. Green Tea Press, Needham
How Tesla’s Autonomous Car Work (2016–10). Retrieved from http://www.xataka.com/vehiculos/para-pasar-del-autopilot-a-la-conduccion-autonoma-en-los-coches-de-tesla-hace-falta-hardware
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Gupta, S., Upadhyay, D., Dubey, A.K. (2019). Self-Driving Car Using Artificial Intelligence. In: Kumar, M., Pandey, R., Kumar, V. (eds) Advances in Interdisciplinary Engineering . Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-13-6577-5_49
Download citation
DOI: https://doi.org/10.1007/978-981-13-6577-5_49
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-6576-8
Online ISBN: 978-981-13-6577-5
eBook Packages: EngineeringEngineering (R0)