nanoll extt
Please use this identifier to cite or link to this item: http://lrcdrs.bennett.edu.in:80/handle/123456789/1940
Title: Path reader and intelligent lane navigator by autonomous vehicle
Authors: Singh, Thipendra P
Keywords: convolution neural network
traffic light condition
Issue Date: 15-Aug-2023
Publisher: De Gruyter
Citation: Shukla, Amar, Verma, Ankit, Mahdi, Hussain Falih, Choudhury, Tanupriya and Singh, Thipendra Pal. "Path reader and intelligent lane navigator by autonomous vehicle" Paladyn, Journal of Behavioral Robotics, vol. 14, no. 1, 2023, pp. 20220117. https://doi.org/10.1515/pjbr-2022-0117
Abstract: Internet of Things (IoT) is a physical network of physical devices, such as widgets, structures, and other objects, which can store program, sensors, actuators, and screen configurations to allow the objects to assemble, control, display, and exchange data. The aim of this research was to develop an autonomous system with automated navigation. Using this approach, we are able to make use of deep neural networks for automatic navigation as well as the identification of pot holes and road conditions. Additionally, it displays potholes in traffic and the correct lane on the screen. The system stresses how important it is to select the path from one node to the next.
URI: http://lrcdrs.bennett.edu.in:80/handle/123456789/1940
ISSN: 2081-4836
Appears in Collections:Journal Articles_SCSET

Files in This Item:
File Description SizeFormat 
PJBR_TPSingh.pdf
  Restricted Access
Journal Article, Paladyn, Journal of Behavioral Robotics3.12 MBAdobe PDFView/Open Request a copy

Contact admin for Full-Text

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.