Paper Title : A Study on Self-Driving Car Using Raspberry-Pi

ISSN : 2394-2231
Year of Publication : 2022

10.29126/23942231/IJCT-v9i2p3

Authors: Dr S K Manju Bhargavi, Sowjany M

         



MLA Style: A Study on Self-Driving Car Using Raspberry-Pi " Dr S K Manju Bhargavi, Sowjany M " Volume 9 - Issue 2 International Journal of Computer Techniques (IJCT) ,ISSN:2394-2231 , www.ijctjournal.org

APA Style: A Study on Self-Driving Car Using Raspberry-Pi " Dr S K Manju Bhargavi, Sowjany M " Volume 9 - Issue 2 International Journal of Computer Techniques (IJCT) ,ISSN:2394-2231 , www.ijctjournal.org

Abstract
Self-using vehicles are self-sufficient automobiles which could force through themselves with none human interference and feature the ability to mark the technological revolution of the subsequent decade. Non-self sufficient automobiles were round for numerous years, and primarily based totally on online surveys the ratio of injuries taking place because of human mistakes is pretty high. The concept is to enforce a self-using automobile which makes use of a sample matching technique. These paintings afford the improvement of a low-price prototype of a miniature self-using vehicle version the usage of easy and effortlessly to be had technologies. In this prototype, Raspberry Pi controller and DC automobiles to realize automobile automation. Technologies together with picture processing for pedestrian detection, laptop imaginative and prescient for processing pix and gadget gaining knowledge of for shrewd structures were deployed. The concept is to discover the course the usage of color detection or aspect detector after which getting the curve the usage of summation of pixels with-inside the y route histogram. We can break up the undertaking into five exceptional steps. This consists of Threshold, Warping, Histograms, Averaging, and Displaying.

Reference
[1] Daniel L. Rosenband. “Inside Waymo’s SelfDriving Car: My Favorite Transistors”, Symposium on VLSI Circuits Digest of Technical Paper 2017. [2] Mochamad Vicky Ghani Aziz, Hilwadi Hindersah, Ary Setijadi Prihatmanto. “Implementation of Vehicle Detection Algorithm for Self-Driving Car on Toll Road Cipularang using Python Language”, 4 th international conference on Electric Vehicular Technology 2017. [3] Qing Rao,Jelena Frtunikj. “Deep Learning for Self-Driving Cars: Chances and Challenges”. Proceedings SEFAIS’18 Proceedings of the 1 st International workshop on software engineering for AI in autonomous Systems. [4] Pascale-L. Blyth, Milos N. Mladenovic, Bonnie A. Nardi, Norman M. Su, Hamid R. Ekbia “Driving the Self-Driving Vehicle”.IEEE 1 International Symposium on Technology in Society (ISTAS) Proceedings 2015. [5] Li, M., Zhao, C., Hou, Y. & Ren, M. , A New Lane Line Segmentation and Detection Method based on Inverse Perspective Mapping, International Journal of Digital Content Technology and its Applications. Volume 5, Number 4, April 2011, pp. 230-236 [6] Matt Richardson, Shawn Wallace, Getting Started with Raspberry Pi, 2nd Edition, Published by Maker Media, Inc., USA, 2014. Book ISBN: 978-1-457- 18612-7 [7] Urooj S, Feroz I and Ahmad N 2018 Systematic literature review on user interfaces of autonomous cars: Liabilities and responsibilities Int. Conf. on Advancements in Computer Science (Lahore: IEEE) [8] Contreras-Castillo J, Zeadally S and GuerreroIbanez J A 2017 A seven-layered model architecture for Internet of Vehicles J. Inf. Telecommun. 1 4-22 [9] Gary Bradski, Adrian Kaehler, Learning OpenCV: Computer Vision with the OpenCV Library, "O'Reilly Media, Inc.". Copyright. September 2008, 1st Edition, Book ISBN: 978-0- 596-51613-0[10]Korosec K, "Waymo’s self-driving Jaguar IPace vehicles are now testing on public roads," Techcrunch, 2019. [11] Howard B, "GM’s Cruise Origin Is an Autonomous Vehicle From the Future," Extreme Tech, 2020. [12] International Journal of Engineering Research in Electronics and Communication Engineering (IJERECE) Vol 5, Issue 4, April 2018 Prototype of Autonomous Car Using Raspberry Pi. [13] Spice B, "Carnegie Mellon, Argo AI Form Center for Autonomous Vehicle Research with $15M Multiyear Grant," Carnegie Mellon University, 2019

Keywords
—Pattern matching, Raspberry Pi, Sensors, Threshold, Warping