@inproceedings{8e2bc2a70f354179b52be99ae880db39,
title = "Lane Following with a Duckiebot Vehicle using Visual Feedback",
abstract = "The autonomy of a vehicle can be achieved by a proper use of the information acquired with the sensors. Real-sized autonomous vehicles are expensive to acquire and to test on; however, the main algorithms that are used in those cases are similar to the ones that can be used for smaller prototypes. Due to these budget constraints, this work uses the Duckiebot as a testbed to try different algorithms as a first step to achieve full autonomy. This paper presents a methodology to properly use visual feedback, with the information of the robot camera, in order to detect the lane of a circuit and to drive the robot accordingly.",
keywords = "Autonomous System, Duckiebot, Duckietown, Visual Feedback",
author = "Oscar Castro and Axel Cespedes and Roosevelt Ubaldo and Ramos, {Oscar E.}",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE Sciences and Humanities International Research Conference, SHIRCON 2019 ; Conference date: 13-11-2019 Through 15-11-2019",
year = "2019",
month = nov,
doi = "10.1109/SHIRCON48091.2019.9024875",
language = "English",
series = "SHIRCON 2019 - 2019 IEEE Sciences and Humanities International Research Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "SHIRCON 2019 - 2019 IEEE Sciences and Humanities International Research Conference",
}