A Vision-Based GPS-Aided Quadcopter for Emergency Vehicle Assistance

Rahul B. Patil, Ron Chaudhuri, Vtns Pavan Kumar, S. Ramya

Research output: Chapter in Book/Report/Conference proceedingConference contribution


A significant number of patients needing emergency treatment have died on their way to the hospital because of delays due to traffic jams and uncooperative motorists. The proposed work aims to build an automated quadcopter that follows a global positioning system (GPS) route which is visually guided by a camera that helps it to stay in the middle of the road. With this quadcopter assisting an ambulance, the delay caused by traffic jams can be reduced significantly. The project makes use of a simulated quadcopter and follows a proper route as a vehicle does by following waypoints extracted from Google Maps with the help of the Directions API. The waypoints are placed at significant turns in the route. To make sure the quadcopter stays in the middle of the road to avoid buildings and poles, a camera placed on the quadcopter streams a live feed to a computer that runs a road detection program using a fully convolutional networks. The program provides correction feedback signals to the quadcopter.

Original languageEnglish
Title of host publicationSmart Sensors Measurements and Instrumentation - Select Proceedings of CISCON 2020
EditorsSanthosh K V, K. Guruprasad Rao
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages10
ISBN (Print)9789811603358
Publication statusPublished - 2021

Publication series

NameLecture Notes in Electrical Engineering
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering


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