dc.contributor.advisor | Chakrabarty, Amitabha | |
dc.contributor.author | Khan, Salsabil | |
dc.date.accessioned | 2018-04-26T10:14:59Z | |
dc.date.available | 2018-04-26T10:14:59Z | |
dc.date.copyright | 2018 | |
dc.date.issued | 2018-04-17 | |
dc.identifier.other | ID 13121003 | |
dc.identifier.uri | http://hdl.handle.net/10361/9902 | |
dc.description | This thesis report is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2018. | en_US |
dc.description | Catalogued from PDF version of thesis. | |
dc.description | Includes bibliographical references (page 54-55). | |
dc.description.abstract | Vehicular accident is tremendously increasing day by day around the world, especially in small and large urban areas. The resulting collision has become a key issue and emergency as a recent research topic in automation in Transportation. A collision avoidance warning system can realize wireless communication between vehicles. Vehicle to vehicle communication system can be very effective to reduce the collision. A new technology will be available, when all the vehicles are equipped with latest sensing technology integrated with wireless technology. In any safe or risky driving conditions the driver will be informed to drive carefully, effectively avoid the happening of the vehicle accidents. When the vehicle will be in a risk situation the system which is based on NRD24L01 and Infrared sensor will pass a signal to the drive through the LED light signal so that the driver can instant take a decision to make the vehicle in a safe mood, effectively avoid the happening of vehicle accidents. | en_US |
dc.description.statementofresponsibility | Salsabil Khan | |
dc.format.extent | 55 pages | |
dc.language.iso | en | en_US |
dc.publisher | BRAC Univeristy | en_US |
dc.rights | BRAC University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. | |
dc.subject | Vehicle communication | en_US |
dc.subject | Infrared sensor | en_US |
dc.title | Collision avoidance system proposed by a model using NRF24L01 and infrared sensor | en_US |
dc.type | Thesis | en_US |
dc.contributor.department | Department of Electrical and Electronic Engineering, BRAC University | |
dc.description.degree | B. Electrical and Electronic Engineering | |